في نهاية هذا المشروع هتكون قادر تنشئ repository على GitLab باستعمال أى command line terminal، وترفع عليها أى تغييرات فى مشروعك. خلال المشروع هنعمل repository ونتعرف على commands كتيرة فى Git وازاى ممكن نستعمل Git لما نكون شغالين مع team أو حتى لو شغالين لوحدنا.

المشروع دا لا غنى عنه لأى حد بيتعلم برمجة وناوى يشتغل كـDeveloper، والمشروع للمبتدئين لأننا هنمشى خطوة بخطوة كأنك أول مرة بتسبتعمل Git.
Git حاجة مهمة جداً أى Software Developer محتاج يكون ملم بيها وعارفها كويس جداً، وهيكون حاجة مطلوبة منكم فى عدد كبير جداً من الشركات

استخدام Git + GitLab فى مشاريع تطوير البرمجيات


في هذه الدورة التدريبية القائمة على المشروع الارشادي والتي تستغرق ساعة واحدة، ستقوم بخلق حساب على منصة هارفيست وخلق المشاريع المختلفة، ومراجعة جداولها الزمنية وتوليد التقارير الخاص بها. كما ستقوم ايضاً بتوليد تقارير تقدم المشاريع وإصدار الفواتير الخاصة بالعملاء وإدارة الأدوار والمصروفات واعدادات الحساب الأخرى.
هذا المشروع الارشادي مخصص لمدراء المشاريع وأصحاب الاعمال الحرة الراغبين في استخدام منصة هارفيست لأدراه المشاريع ومتابعتها وقبول المدفوعات من العملاء عن طريق الانترنت.
عند الانتهاء من هذا المشروع ستكون قادراً على متابعة جميع مشاريعك وجداولها الزمنية وتكاليف انتاجها والارباح من خلال منصة واحدة متكاملة.

ادارة المشاريع واصدار الفتواتير باستخدام هارفيست Harvest


لا تزال برامج جداول البيانات واحدة من أكثر البرامج انتشارًا في أماكن العمل في جميع أنحاء العالم. إن تعلم تشغيل هذا البرنامج بثقة يعني إضافة أصول ذات قيمة عالية إلى مؤهلاتك الوظيفية. في الولايات المتحدة الأمريكية وحدها، يتم نشر الملايين من إعلانات الوظائف التي تتطلب مهارات Excel كل يوم. يُظهر البحث الذي تم إجراؤه من قبل Burning Glass Technologies وCapital One أن المهارات الرقمية تؤدي إلى دخل أعلى وفرص عمل أفضل، في وقت تنمو فيه وظائف المهارات الرقمية بشكل أسرع بكثير من الوظائف غير الرقمية.

وفي هذه الدورة التدريبية الثانية من تخصصنا في برنامج Excel، مهارات Excel للأعمال، ستكمل ما بدأته من أسس قوية في دورة "الأساسيات". ستوسع مهارات المستوى "المتوسط I" معرفتك ببرنامج Excel إلى آفاق جديدة. أنت في طريقك لاكتشاف مجموعة كاملة من المهارات والتقنيات التي ستصبح مكونًا قياسيًا في استخدامك اليومي لبرنامج Excel. ستكتسب في هذه الدورة التدريبية مجموعة من المهارات الراسخة الأكثر تقدمًا حتى تتمكن من إدارة مجموعات البيانات الكبيرة وإنشاء تقارير مفيدة. ستتيح لك هذه التقنيات والأدوات الرئيسية إمكانية إضافة مستوى متطور من التشغيل الآلي والكفاءة إلى مهامك اليومية في Excel.

مرة أخرى، لقد جمعنا فريق تدريس رائعًا سيكون معك في كل خطوة في طريقك. سيرشدك "براشان" و"نيكي" كل أسبوع (وسأحضر ضيفًا في الأسبوع الخامس لمساعدتك في التعرف على أداتي المفضلة في Excel- صمتًا، لتكن مفاجأة). اعمل خلال كل تحد جديد خطوة بخطوة، وستندهش في وقت قصير من مدى تقدمك. سنتابع هذه المرة محاولات "أوما" ومعاناتها لأنها تحاول أن تضع قدميها في منصب جديد في شركة وهمية هي PushPin. بالنسبة لمن أتم منكم دورة "الأساسيات"، فسيكون على دراية بالشركة بالفعل. سيساعدك العمل خلال تحدياتها الشائعة للغاية، والتي نواجهها كل يوم، على التواصل بسهولة أكبر مع المهارات والتقنيات التي يتم تعلمها في كل أسبوع، وتطبيقها في سياقات مألوفة وجديدة.

6 أسابيع من الدراسة، 2-4 ساعات أسبوعيًا

مهارات Excel للأعمال: المستوى "المتوسط I"


هل تم تكليفك بإدارة مشروع ولا تعرف كيفية البدء في التقاط جميع المعلومات ذات الصلة بتنسيق موجز ودقيق؟

بنهاية هذا المشروع ، ستنشئ مستندًا رئيسيًا ومستندًا حيًا يحتوي على معلومات مهمة يمكنك أنت وأصحاب المصلحة الرجوع إليها أثناء تطور مشروع

عقد المشروع هو مستند حي يعرض المعلومات الأساسية للمشروع ، مثل اسم المشروع والجهات الراعية والمشكلة وبيانات الهدف والنطاق والفوائد والجدول الزمني. يتم استخدامه عادةً في منهجية Lean Six Sigma DMAIC (التحديد والقياس والتحليل والتحسين والتحكم) في بداية المشروع ، ويُشار إليه باستمرار طوال عمر المشروع ، وبعد ذلك.

باستخدام الحد الأدنى من المهارات البرمجية ، ستتمكن من تصنيف هذه المعلومات في مستند باستخدام بنية جدول بسيطة. ستتضمن هذه الدورة مهارات على مستوى المبتدئين باستخدام محرر مستندات Google. يعد إنشاء ميثاق مشروع منظم منطقيًا طريقة رائعة ليس فقط لتلخيص جميع الأجزاء المتحركة لمشروعك في مستند واحد سهل الاستخدام ولكن أيضًا لقياس نجاح مشروعك.

ملاحظة: تعمل هذه الدورة التدريبية بشكل أفضل للمتعلمين المقيمين في منطقة أمريكا الشمالية. نعمل حاليًا على توفير نفس التجربة في مناطق أخرى.

إنشاء عقد مشروع باستخدام محرر مستندات جوجل


في هذه الدورة التدريبية، ستتعرف على كيفية تطوير مهارات حل المسائل والإبداع لديك لمساعدتك على تحقيق النجاح في دراساتك الجامعية. بعد الانتهاء من هذه الدورة التدريبية سوف يكون بإمكانك:

1. التعرف على أهمية ووظيفة حل المسائل والتفكير الإبداعي في الدراسات الأكاديمية ودور التفكير النقدي في التصور الإبداعي

2. تطوير مجموعة من الأدوات لتتمكن من تحديد المسائل والأهداف الفعلية في المسائل غير المحددة

3. التعرف على التقنيات التحليلية لحل المسائل وتطبيقها

4. التعرف على التقنيات الإبداعية لحل المسائل وتطبيقها

5. تحديد استخدام الإبداع في أنواع المسائل الأكثر شيوعًا في مجالك

6. تطبيق مهارات حل المسائل والتصور الإبداعي المستفادة على سياق الحياة الواقعية والتفكير في عمليات التعلم الشخصية

6 أسابيع من الدراسة، 2- 4 ساعات/الأسبوع

مهارات حل المسائل لتحقيق النجاح في الجامعة


إدارة المشروعات في أجايل

هذه هي الدورة التدريبية الخامسة في برنامج شهادة إدارة المشروعات من Google. سوف تستكشف هذه الدورة تاريخ ونهج وفلسفة إدارة المشروعات في أجايل، بما في ذلك إطار عمل سْكرَم. سوف تتعلم كيفية التفريق والمزج بين أجايل والنهج الأخرى لإدارة المشروعات. أثناء تقدمك خلال الدورة التدريبية، ستتعرف على المزيد عن سْكرَم، من خلال استكشاف ركائزها وقيمها ومقارنة أدوار فريق سْكرَم الأساسية. سوف تكتشف كيفية إنشاء قائمة مهام المنتج وإدارتها وتنقيحها، وتنفيذ استراتيجيات التسليم القائمة على القيمة من أجايل، وتحديد خارطة طريق القيمة. سوف تتعلم أيضًا استراتيجيات لتنظيم أحداث سْكرَم الخمسة المهمة لفريق سْكرَم بشكل فعال، وتقديم نهج أجايل أو سْكرَم لمؤسسة ما، وتدريب فريق أجايل. وأخيرا، سوف تتعلم كيفية البحث عن الفرص وإيجادها في أدوار أجايل. سيستمر مديرو مشروعات Google الحاليون في إرشادك وتزويدك بالنُهُج والأدوات والموارد العملية لتحقيق أهدافك.

يجب أن يكون المتعلمون الذين يكملون هذا البرنامج مجهزين للتقدم لوظائف المستوى التمهيدي كمديري المشروعات. لا تلزم خبرة سابقة.

بنهاية هذه الدورة، ستكون قادرًا على:
 شرح نهج وفلسفة إدارة المشروعات في أجايل، بما في ذلك القيم والمبادئ.
 - شرح ركائز سْكرَم وكيفية دعمها لقيم سْكرَم.
 - تحديد ومقارنة الأدوار الأساسية في فريق سْكرَم وما الذي يجعلها فعالة.
 - إنشاء وإدارة قائمة مهام المنتج وتنقيح قائمة المهام.
 - وصف الفعاليات الخمسة الهامة في سْكرَم وكيفية إعداد كل فعالية لفريق سْكرَم.
 - تنفيذ استراتيجيات التسليم المبنية على القيمة لأجايل وتحديد خارطة طريق القيمة.
 - شرح كيفية تدريب فريق أجايل ومساعدته في التغلب على التحديات.
 - إجراء بحث عن وظيفة للحصول على دور أجايل وتعلم كيفية النجاح في مقابلتك.


للمبتدئين Metasploit: أساسيات الاستغلال

سيساعدك هذا المشروع علي تأسيس مهارات استغلال الثغرات واختراق نظم التشغيل من خلال إطار عمل Metasploit
 كذلك سيساعدك علي اكتساب المهارات الاساسية في مجال اختبار الاختراق والاختراق الاخلاقي.
من خلال التدريب العملي على السيناريوهات الواقعية والممارسة الفعلية باستخدام Metasploit، ستتعلم كيفية اكتشاف الثغرات البرمجية والاستفادة منها بطريقة فعالة, وستتعرف على الادوات والطرق  المتبعة من مختبري الاختراق والهاكرز المحترفين في اكتشاف الخدمات والبحث عن ثغرات متعلقة بهذه الخدمات وانظمة التشغيل لاستغلالها و اختراق الأنظمة والخوادم والتحكم فيها بطرق أخلاقية وقانونية.
ايضا سنتعلم كل ما يتعلق بإطار عمل Metasploit وادواته المساعدة مثل Msfvenom. وكذلك سنتعلم فحص انظمة التشغيل والمنافذ للأجهزة باستخدام Namp.
بتعلم هذة المهارات ستتمكن من البداء في مجال اكتشاف الثغرات والاختراق الاخلاقي.


محاسبة المقبوضات والديون المعدومة

الديون المعدومة (Bad Debts) من أخطر القضايا التي تواجه الشركات حول العالم حيث أنها قد تؤدي إلى الإفلاس، وتتورط الشركات في هذا النوع من الديون حين تلجأ إلى تقديم العديد من التسهيلات الائتمانية في السداد لعملائها، فتُظهر حجماً هائلاً من المبيعات (Sales)، ولكنها تصبح في النهاية غير قادرة على تحصيل مستحقاتها كاملة والتي تتحول نسبة كبيرة منها إلى ديون معدومة (Bad Debts).

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بإتقان التعامل مع الديون المعدومة، أو كان مجال عملك يتطلب فهم هذا المجال وتوظيفه في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر ينعكس بنتائج ملموسة على أعمالك.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: المقصود باضمحلال حسابات العملاء، القيام بتحليل حسابات العملاء وأوراق القبض، أنواع الديون، حسابات العملاء.

1 أسبوع دراسة، 1 - 2 ساعات /أسبوع


أخلاقيات وآداب السلوك في الأعمال

غالباً ما يرتبط النجاح المهني بمدى توفر المؤهلات اللازمة لمواجهة المتطلبات الوظيفية، لكن ثمة جانب مؤثر في هذا النجاح لا يقل أهميةً عن توفر المؤهلات، وهو مدى توفر الصفات التي تجعلُ منك موظفاً أخلاقياً (Ethical Employee) لا يُخلُّ بواجبات ومسؤوليات عمله ومجتمعه، هذا بالإضافة إلى إمكانية تعزيز هذا النجاح عن طريق معرفة وإتقان كثيرٍ من سلوكيات العمل (Business Etiquette) المتحضرة.

هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها.

إذا كنت من المهتمين بفهم أخلاقيات وآداب السلوك في الأعمال، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر.

حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: فهم كيفية تحقيق النجاح من خلال الالتزام بمبادئ آداب السلوك في الأعمال، شرح أهم آداب العمل، استعراض أخلاقيات العمل الأساسية، تبيان مفهوم أخلاقيات وآداب السلوك في الأعمال والفرق بينهما.

1 أسبوع دراسة، 1  -2 ساعات/ أسبوع


التحوّل الرقمي

التحول الرقمي موضوع مثير للاهتمام، ولكن ماذا يُقصد به بالضبط؟ وماذا يعني للشركات؟ في هذه الدورة التدريبيّة، نتحدث عن التحوّل الرقمي بطريقتين. أولًا، نناقش وتيرة التغيّر والضرورة التي يفرضها لنجاح الأعمال. ثم نقدّم سياق هذا التحوّل وما الذي يحتاج إليه لتحقيق النجاح في عصر التكنولوجيا الرقمية. وبعد ذلك، نستعرض إطار ملكية مجموعة بوسطن الاستشارية (BCG)، الذي يساعدك في تحديد المجالات الرئيسية التي يُمكن تحويلها إلى الصيغ الرقمية، ومنها الاستراتيجية، والعمليات الأساسية، والتكنولوجيا.

بنهاية هذه الدورة التدريبيّة، ستتمكّن من:
--وصف علم الاقتصاد الذي يرتكز عليه الإبداع، والتكنولوجيا، واضطراب السوق
--تقييم مزايا التكنولوجيا الرقمية الحالية التي تدفع التقدُّم وعيوبها
--استخدام إطار مجموعة بوسطن الاستشارية (BCG) للتحوّل الرقمي كمرجع ""لكيفية"" التحوّل الرقمي لمنظمتك

4 weeks of study, 2 hours per week for weeks 1 - 3 ,and 3 hours of work for week 4

Michael Lenox
Amane Dannouni
Sonja Rueger
Ching Fong Ong


العمل والتواصل الجماعي الفعّال ضروريان لنجاحك المهني والشخصي.  ستتعلم، في هذه الدورة التدريبية، ما يلي: اتخاذ قرارات أفضل، وكيف تكون أكثر إبداعًا وابتكارًا، وإدارة التعارض والعمل مع أعضاء المجموعة صعبي المراس، والتفاوض للحصول على النتائج المفضلة، وتحسين التواصل الجماعي في البيئات الافتراضية، وتطوير فهم شامل أفضل للتفاعل البشري، والعمل بشكل أكثر فعالية كفريق.  هدفنا هو مساعدتك على فهم هذه الديناميكيات المهمة للتواصل الجماعي ومعرفة كيفية وضعها موضع التنفيذ لتحسين عملك الجماعي بشكل عام.

مهارات العمل الجماعي: التواصل الفعّال في مجموعات


في نهاية هذا المشروع ، ستكون قادرًا على معالجة البيانات بالدوال، وتطبيق المعادلات لاستخراج الكلمات من النص. علاوة على ذلك ، سوف تكون قادرًا على تحديد وإدارة البيانات الخاصة بك. أخيرًا ، ستتمكن من إنشاء جداول الاحصائيات ومعادلات البحث لتلخيص  بياناتك وتحليلها. سيوضح لك هذا المشروع كيفية التعامل مع النص وكيفية تحليله لتقديمه بشكل احترافي بطرق مختلفة.

هذا المشروع مخصص للأشخاص في مجال الأعمال وتحليل البيانات. يوفر لكم الخطوات المهمة لتكون محلل بيانات. علاوة على ذلك ، فإنه يزودك بالمعرفة الموجودة في جداول البيانات المتعلقة بتحليل الأعمال وكيفية التعامل مع البيانات حسب المعادلات.

معالجة البيانات وتحليل الأعمال باستخدام برنامج جدول البيانات


في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعرف على كيفيّة استخدام علامات التصنيف على شبكات التواصل الإجتماعي من أجل زيادة المتابعين.
ستتمكن في نهاية الدورة التدريبيّة وبعد التعرف على أهميّة علامات التصنيف من اختيار العلامات المناسبة والمرتبطة بالمحتوى الخاص بك، وستتمكن من إنشاء حساب على عدة منصات وضبط علامات التصنيف عليها، وأخيرًا ستتمكن من استخدام عدة مواقع من أجل تحليل اسخدام علامات التصنيف الشائعة والمحليّة واختيارالأفضل لك لضمان تحقيق أفضل النتائج.
في نهاية هذه الدورة التدريبية، ستكون قادراً على استخدام عدة وسائل وطرق لزيادة عدد المتابعين على وسائل التوصل.

زيادة عدد المتابعين عبر البحث عن الكلمات الرئيسية والهاشتاغ


القيادة الدولية والسلوك التنظيمي

يزداد عمل القادة في مجال الأعمال التجارية والمنظمات غير الهادفة للربح عبر الحدود الوطنية وفي بيئات متعددة الثقافات. فقد تعمل بانتظام مع عملاء أو مورّدين في الخارج، أو تكون عضوًا في فريق متعدد الوظائف ومنتشر في أماكن متعددة في العالم، أو تعمل مع مدير أجنبي بشأن مهمة دولية. وقد تكون عضوًا في مجتمع عالمي على شبكة الإنترنت، أو عامل إغاثة إنمائية تتعاون مع شبكة دولية للمنظمات الشريكة. وفي جميع هذه السياقات، تعتمد فاعليتك كقائد على كيفية الإدراك الجيد لديك، وقدرتك على إدارة سلوكيات الأفراد والجماعات في سياق متعدد الثقافات.

في هذه الدورة التدريبية -بمصاحبة فريق خبراء هيئة التدريس بجامعة بوكوني وخريجي جامعة بوكوني- سنكتشف النظرية والتطبيق المتعلقين بالقيادة والسلوك التنظيمي الدوليين ومتعددي الثقافات. وكشفت أبحاث العلوم الاجتماعية عن طرق منهجية تختلف فيها سلوكياتنا في مختلف السياقات الثقافية، مما يمكننا من العمل عبر الحدود على نحو أكثر فاعلية. إن الرؤى المأخوذة من علم النفس، والعلوم العصبية، وعلم الاجتماع، وعلم الأنثروبولوجيا، والمأخوذة من الدراسات المجتمعية، والمنح الدراسيّة في مجال الإدارة تتيح لنا فهم العوامل التي تشكل صنع القرار للفرد والجماعة، وما الذي يعزز أداء الفريق أو يُضعفه، وكيف يمكننا بناء شبكات اجتماعية لدينا واستخدامها. وكذلك يتيح لنا تبادل الخبرة العملية للقادة الدوليين تحديد خطوات ملموسة لتعزيز كفاءة القيادة من خلال الثقافات المتعددة، وتوعيتنا بالتحديات الشائعة التي تواجهنا في أثناء القيادة.

يتيح تعلُّم السلوك التنظيمي فرصة كبيرة لتطوير مهارات القيادة والتفكير في اتجاهات سلوكيتنا.كيف تقوم غالبًا بصنع القرارات المهمة؟ ما الذي يحفزك؟ وكيف تحاول تحفيز الآخرين؟وكيف تُعزز المهارات المتنوعة والآراء المتبناة في الفريق وتدمجها بنجاح؟هل تفضل العلاقات المهنية مع مجموعة متماسكة من الزملاء الموثوق بهم، أم مع شبكة واسعة الانتشار من المعارف من شتى مجالات الحياة؟
إذا كنت تريد حقًّا تعلُّم كيفية تصرف المنظمات وصنعها للقرارات، وتطوّر في الوقت نفسه مهارات القيادة، إذًا فهذه الدورة التدريبية مُصممة خصيصًا لك.

ونتطلع للترحيب بك ودعمك في رحلة التعلم والاكتشاف هذه.

المنهج الدراسي للدورة التدريبية
الأسبوع 1 - فطنة القيادة. - المنظور الدولي عن القيادة، والتحديات والمصائد الشائعة، وفرص القيادة متعددة الثقافات.
الأسبوع 2 - التعامل مع الثقافة. تأثير الاختلافات الثقافية في المنظمات، وتفهّم الثقافة، وتصنيفات الثقافة، والقوالب النمطية المتعلقة بها، وتطوير مهارات الذكاء بين الثقافات.
الأسبوع 3 - التواصل. التواصل وتأثيره في الهوية القيادية والعلاقات، وإدارة التواصل لتحسين صنع القرار، والخطوات المتبعة لتطوير مهارات التواصل بين الثقافات.
الأسبوع 4 - التحفيز.آراء بشأن تحفيز الأفراد، والاختلاف الثقافي في التحفيز، وتطوير التحفيز والالتزام في الفريق.
الأسبوع 5 - إقامة الشبكات. نماذج من العلاقات الاجتماعية داخل/بين المنظمات، وتطوير الشبكات الاجتماعية ورأس المال الاجتماعي على نحو استراتيجي، ومعايير إقامة الشبكات بين الثقافات.
الأسبوع 6 - النزاع. مزايا/عيوب نُهُج إدارة النزاعات، والتعامل مع المآزق الأخلاقية.
وبفضل مشاركة الخريجين لدينا ورابطة خريجي جامعة بوكوني، ستكون للمشاركين رؤى عملية بشأن القيادة الدولية.

الخلفية المُوصى بها.
إن بعض تجارب التعرُّض المُسبق للقضايا الأساسية للسلوك التنظيمي (التواصل، وصنع القرار، والتحفيز، وما إلى ذلك) مفيدة، ولكن ليست مطلوبة.


Molecular Evolution (Bioinformatics IV)

In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes.  One way we can use these methods is in order to construct a "Tree of Life" showing how a large collection of related organisms have evolved over time.

In the first half of the course, we will discuss approaches for evolutionary tree construction that have been the subject of some of the most cited scientific papers of all time, and show how they can resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans.

In the second half of the course, we will shift gears and examine the old claim that birds evolved from dinosaurs.  How can we prove this?  In particular, we will examine a result that claimed that peptides harvested from a T. rex fossil closely matched peptides found in chickens. In particular, we will use methods from computational proteomics to ask how we could assess whether this result is valid or due to some form of contamination.

Finally, you will learn how to apply popular bioinformatics software tools to reconstruct an evolutionary tree of ebolaviruses and identify the source of the recent Ebola epidemic that caused global headlines.


Menopause can affect far more than hormones. Changes in bone density, muscle strength, connective tissue, balance, pain sensitivity, mood, and energy can influence how a person moves, exercises, and feels in daily life. By the end of this course, learners will understand how movement, Pilates, and lifestyle strategies can support strength, stability, comfort, confidence, and long-term health during menopause.

Under the guidance of physiotherapist Phillipa Butler, this course explains how hormonal changes may affect the musculoskeletal system, including bones, muscles, joints, and connective tissue. Learners explore why exercise and targeted movement can play an important role in reducing symptoms, managing risk, and supporting quality of life.

Through step-by-step demonstrations and practical assignments, learners study movement programming, Pilates-based strategies, stability work, pain reduction concepts, and safe exercise progressions.

Healthcare, fitness, Pilates, and wellness professionals will gain practical tools for supporting women through menopause, while general learners will better understand how movement can help during this transition. This course offers an informed, accessible approach to building strength, resilience, and confidence.

Movement Strategies for Menopause Health


Introduction to Clinical Data Science

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud.

At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.


Genetic Epidemiology Foundations

This course is presented by the University of Colorado Denver in collaboration with the Vanderbilt Genetics Institute at Vanderbilt University Medical Center and the International Genetic Epidemiology Society. It is designed to provide students with the background and knowledge foundations necessary to conduct statistical analysis of genetic association study data. This course includes multiple lectures and evaluations on each of the topics: the history of genetics research presented by Dr. Nancy Cox, foundational concepts in population genetics presented by Dr. Bruce Weir, population structure in genetic association studies presented by Dr. Todd Edwards, quality control in genetic studies presented by Dr. Goncalo Abecasis, analysis of population-based case-control association studies presented by Dr. Celia Greenwood, and analysis of family-based studies presented by Dr. Joan Bailey-Wilson. Examples of concepts and reference literature are also provided in this 6-module course.


This course is designed for intermediate learners aiming to create a healthier work environment in their organizations. Throughout a series of engaging lessons, the course thoroughly explores the issue of workplace bullying and harassment. Learners will explore the consequences of workplace misconduct, learn strategies to combat it, and discover how to foster a culture of respect, providing them with practical tools for a harmonious workplace.

The course enables students to navigate complex interpersonal relationships, helping them handle difficult conversations, resolve conflicts effectively, and build lasting connections. Using a mix of practical examples, theoretical frameworks, and expert insights, learners will enhance their communication skills and develop the ability to form genuine connections both personally and professionally.

This course has been thoughtfully crafted to cater to individuals of all backgrounds and interests who seek to understand the repercussions of workplace bullying and harassment, foster a nurturing work environment, and actively support and stand with their colleagues as allies.

Ideally, learners should come to this course with a foundation of the following prerequisite skills: open-mindedness; basic leadership; self-awareness; effective communication; empathy; conflict awareness; resilience; and an active learning mindset.

By the end of the course, learners will have a clear understanding of how workplace bullying and harassment can harm psychological, emotional, and overall business well-being. They will be equipped with the knowledge and skills to address such behaviors when they encounter them. Through a combination of theoretical frameworks and real-world examples, learners will not only gain awareness but also the capability to promote positive interactions in their professional spheres.

Creating a Healthy Culture: Addressing Workplace Bullying


Childbirth: A Global Perspective

This course will review challenges for maternal and newborn health in the developing world, where a great many women and babies are suffering from complications during pregnancy, childbirth, and the days following birth. Themes covered include the epidemiology of maternal and newborn mortality and morbidity, relevant issues for the global health workforce, community-based interventions to improve maternal and newborn health and survival, and sociocultural dynamics surrounding birth.

This course provides a broad overview of maternal and newborn health issues facing low-income and transitional countries, where more than 2.6 million babies are stillborn and nearly 500,000 women die during childbirth or from pregnancy-related complications each year. In the developing world, many women deliver at home without a skilled care provider, drugs, or technological supports. Maternal and newborn survival can be improved by mobilizing communities and improving access to skilled care.

Through lectures, case studies and readings, course participants will learn about delivery challenges for maternal and newborn health services and how to utilize community-based strategies to improve the health and survival of mothers and babies.

6 hours videos, quizzes, and peer reviewed project


Advance your career in healthcare data analytics by mastering the statistical and predictive modeling techniques used across clinical, operational, and population health settings.

In this hands-on course, you’ll learn how to analyze real-world healthcare datasets using descriptive statistics, hypothesis testing, regression analysis, and machine learning. Through interactive labs using Python and Jupyter Notebook in a Google Colab environment, you’ll compute key metrics, evaluate clinical groups, build predictive models, and interpret results with confidence.

Designed for healthcare professionals, data analysts, and IT specialists, this course focuses on practical, industry-relevant skills. You’ll discover how to assess treatment effectiveness, explore associations among clinical variables, and generate predictions that support evidence-based clinical decision-making. The course also emphasizes ethical data practices, model validation, fairness, and the unique challenges of working with healthcare data.

By the end of the course, you will be able to perform end-to-end healthcare data analysis, from data exploration and statistical testing to predictive modeling and interpretation. You’ll develop job-ready skills in healthcare analytics, statistical modeling, clinical data interpretation, and machine learning for healthcare, preparing you for roles such as healthcare data analyst, clinical data manager, or quality improvement specialist.

Statistical Analysis and Data Modeling in Healthcare


In previous courses in the Specialization, we have discussed how to sequence and compare genomes. This course will cover advanced topics in finding mutations lurking within DNA and proteins.

In the first half of the course, we would like to ask how an individual's genome differs from the "reference genome" of the species. Our goal is to take small fragments of DNA from the individual and "map" them to the reference genome.  We will see that the combinatorial pattern matching algorithms solving this problem are elegant and extremely efficient, requiring a surprisingly small amount of runtime and memory.

In the second half of the course, we will learn how to identify the function of a protein even if it has been bombarded by so many mutations compared to similar proteins with known functions that it has become barely recognizable.  This is the case, for example, in HIV studies, since the virus often mutates so quickly that researchers can struggle to study it.  The approach we will use is based on a powerful machine learning tool called a hidden Markov model.

Finally, you will learn how to apply popular bioinformatics software tools applying hidden Markov models to compare a protein against a related family of proteins.

Finding Mutations in DNA and Proteins (Bioinformatics VI)


This course is a follow up course to "Choosing genomics tools" which dives into further detail about RNA informatics methods!

This course is for individuals who:
- Have taken Researcher's Guide to Fundamentals of Omic Data
- Have RNA data and don’t know what to do with it.
- Want a basic overview of their RNA focused data type.
- Want to find resources for processing and interpreting RNA data

What this course will cover:
- Fundamentals of RNA methods.
- Resources you may consider looking into for your own purposes.
- Questions you should ask yourself and your colleagues about your goals and experimental design.

What this course will NOT cover:
- Code needed to process your data.
- Details about every type of experimental design.
- Everything you’d need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.

Researcher's guide to RNA sequencing data


In this course, you’ll examine how public health systems operate, the principles that guide them, and the strategies needed to drive meaningful change. Led by Dr. Jose Prabhu J, this course blends systems thinking with strategic frameworks to equip you for leadership in an evolving public health landscape. You’ll explore the essential functions of public health, learn to evaluate policy and program effectiveness, design behavior driven communication campaigns, and harness multi-sector collaboration to enhance health outcomes.

This course is designed for public health students, healthcare professionals, policymakers, nonprofit leaders, social workers, and educators who are involved in shaping health policies, managing programs, or engaging with communities. It equips learners across sectors with practical tools and strategies to innovate and improve public health systems.

Learners should have basic knowledge of public health principles like epidemiology and disease prevention and be comfortable interpreting data and evaluating health programs. Familiarity with community engagement and cross-sector collaboration is helpful, but no advanced technical skills are required.

By the end of this course, you'll be ready to design and support public health strategies that drive real impact. Whether improving communication, promoting equity, or responding to crises, you’ll have the skills to lead with clarity, apply systems thinking, and create lasting change.

Public Health Principles:  Systems and Strategies


Clinicians and healthcare professionals are increasingly burdened by Electronic Health Records (EHRs)—navigating complex interfaces, documenting care manually, and missing key insights in siloed data. Generative AI offers a practical path forward. This course shows you how to integrate GenAI tools into your EHR workflows to reduce documentation time, streamline operations, and improve patient care—without waiting on your EHR vendor.

In just 4 hours, you'll move from foundational concepts to hands-on application using tools like Glass Health, DoraScribe, and Keragon. You’ll explore voice-to-text SOAP notes, AI-generated patient education, no-code automation, and strategies for safe, scalable AI governance in clinical settings.

Ideal for physicians, nurses, administrators, and clinical coders, this course equips you to deploy AI responsibly—boosting efficiency, enhancing communication, and laying the groundwork for long-term digital transformation in healthcare.

AI-Driven Electronic Health Records & Data Management


As healthcare organizations increasingly operate internationally, it is important that you equip yourself with the critical knowledge to manage patient data securely across diverse regulatory environments and know how Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), and other privacy laws apply to your daily responsibilities.

This course gives you practical knowledge to confidently handle protected health information in multi-jurisdictional settings. You will learn what HIPAA and GDPR require, how they differ, and which obligations apply to your role. The course explains patient rights under each regulation, organizational responsibilities, and critical topics such as informed consent framework under data protection, cross-border data transfers, risk assessments, and privacy-by-design.

Through real-world examples and scenario-based activities, you will develop the skills to recognize which regulations apply to your work, understand key differences between frameworks, and make informed privacy decisions when handling patient data across different regulatory environments.

Global Healthcare Data Privacy Frameworks


Essentials of CPT and HCPCS Coding

Build job-ready skills for outpatient medical coding and advance your preparation for the Certified Professional Coder (CPC)® certification. Essentials of CPT and HCPCS Coding is an intermediate-level course that focuses on developing the practical knowledge and analytical skills needed to accurately assign CPT® and HCPCS Level II codes based on clinical documentation in outpatient settings.

You will strengthen your understanding of CPT® code categories, modifiers, and HCPCS Level II coding for supplies and services, while learning to interpret medical records and apply coding guidelines effectively. The course emphasizes Evaluation and Management (E/M) coding, emergency department scenarios, and the application of global surgical package rules.

As you progress, you will practice coding across major CPT® sections, including surgery (10000–60000 series), anesthesia, radiology, pathology/laboratory, and medicine services. You will also explore compliance requirements, ethical standards, and regulatory frameworks such as HIPAA to ensure accurate and defensible coding practices.

Through case-based activities, interactive exercises, and hands-on coding practice, this course builds your confidence in documentation-driven coding decisions and prepares you for advanced coding coursework and CPC® exam success.


Revisão Sistemática e Meta-análise

Este curso introduz um tipo de estudo conhecido por revisão sistemática. Vamos aprender sobre como a revisão sistemática se distingue das demais. Para isso esmiuçaremos cada uma de suas etapas: estruturar perguntas factíveis, organizar buscas por evidências científicas, selecionar artigos de maneira confiável, coletar dados dos artigos selecionados, avaliar a qualidade da evidência disponível, sintetizar o conjunto de evidências, atribuir confiança na síntese e divulgar no ambiente científico. Organizamos o curso em vídeos e textos curtos para ajudá-lo a compreender esses assuntos. O curso dispõe de exercícios e tutoria para orientá-lo da melhor forma.
Usando as técnicas de revisão sistemática, independentemente do seu interesse em realizar uma, você pode mudar sua percepção sobre a evidência científica. Se você já participou de uma revisão sistemática e conhece os bastidores da pesquisa, as dicas ajudarão você a aproveitar melhor o seu tempo no seu próximo estudo. Se você sempre quis entender o que é revisão sistemática, este curso servirá como seu roteiro.

40 horas (6 semanas de estudo, 4-6 horas por semana)

Tais Freire Galvao
Marcus Tolentino Silva
Julicristie Machado de Oliveira
Ivan Zimmermann
Everton Nunes da Silva


Azure AI and Healthcare Cloud Fundamentals is a beginner-friendly course that introduces you to Azure services specifically relevant to healthcare applications, including compute, storage, and AI services. You'll learn healthcare data requirements, explore Azure's health-specific tools, and understand cloud architecture for medical environments. Through hands-on labs, you'll deploy basic Azure resources, configure security settings, and work with healthcare data scenarios. It is perfect for healthcare professionals transitioning to technology roles or IT professionals entering the healthcare sector. You can build foundational knowledge for Azure certifications while gaining practical skills in cloud computing for healthcare.


Great nurse leaders don't just deliver care—they shape the systems and cultures that make equitable care possible. This course equips nurse managers, charge nurses, and clinical leaders with practical tools to lead diverse teams and build inclusive care environments. You'll learn how to apply cultural competence in your leadership decisions, communication practices, and team workflows using proven frameworks like the CLAS standards.

You'll explore how cultural identity affects patient care and team dynamics and gain strategies for leading with respect, responsiveness, and clarity. You'll develop the skills to recognize bias, foster equity, and lead meaningful change in your care setting through real-world case studies, reflective activities, and hands-on planning exercises.

Whether you're supporting a multilingual staff, caring for culturally diverse patients, or rethinking how your unit approaches inclusion, this course will help you lead with cultural awareness, intentionality, and impact.

Nursing Leadership: Cultural Competence and Diversity


This course is an examination of the role designers play in protecting health through specification of materials and choices made in the building design phase. You learn about strategies and principles employed in the execution of healthier design projects. Finally, you look at how the use of healthier materials can lead to a healthier world. Participants in the course should have leadership-level career experience in design, architecture, contracting, or a similar field.

This course will enable you to:
•  Shift from traditional design to a healthier materials design approach
•  Evaluate tools and resources for protecting human health
•  Apply strategies for choosing healthier materials

Sustainable Building: Design and Specification

Parsons School of Design, The New School

Alison Mears AIA, LEED AP
Catherine Murphy


La resistencia a los antimicrobianos es actualmente un problema de salud pública a nivel mundial, que se incrementa debido al uso inadecuado de antimicrobianos en diferentes escenarios, uno de estos es durante la atención en salud en un entorno hospitalario, u otro centro de atención médica, escenario en el cual el uso inadecuado de antimicrobianos puede generar adicionalmente eventos dañinos o no deseados a nivel individual, en el paciente. Este curso busca fortalecer los conocimientos sobre el uso adecuado de antimicrobianos del personal del área de la salud que en su práctica diaria pueda estar involucrado en los procesos de prescripción, administración y control de este grupo de medicamentos.

Este curso ha sido elaborado por docentes de Infectología del Departamento de Medicina Interna de la Universidad Nacional de Colombia, dividido en ocho módulos que al completar con éxito esperamos le permitan afianzar sus conocimientos para realizar un adecuado proceso de prescripción, administración y control de antimicrobianos en su práctica diaria.

El presente curso emplea como herramientas novedosas e interactivas de aprendizaje para presentar los contenidos temáticos: complementos multimedia en cada uno de los módulos. También encontrará lecturas que le permitirán complementar o profundizar en los conceptos vistos y finalmente actividades formativas calificables elaboradas a partir de casos clínicos, o de la cotidianidad del entorno hospitalario, que le servirán para afianzar sus conocimientos.

5 semanas de estudio, 8 modulos para un total de 18.6 horas

Uso prudente de antimicrobianos en el entorno hospitalario

Jorge Alberto Cortés Luna
Carlos Arturo Alvarez Moreno
Martha Carolina Valderrama Rios


In this course, students in the health and information technology professions will examine models for interprofessional collaboration and teamwork, practice communication techniques to promote effective interaction, and envision futures literacy in interprofessional informatics scenarios. We will hear from nurses and other informaticians who are leading and working interprofessionally, and glean insights from their diverse perspectives. When we think about the requisite variety of leadership skills that are essential in nursing informatics, we may deduce that leadership in interprofessional informatics will demand at least that diversity or more. We’ll expand our nursing informatics leadership vision to include interprofessional applications of the Competing Values Framework and the Minnesota Nursing Informatics Leadership Inventory.

For students who are interested in completing the specialization, there is a sixth module in this course dedicated to the creation of a portfolio which is peer reviewed. The purpose of the portfolio is to help students integrate, synthesize and document their learning through completion of the five course specialization.

Students will:
Define the term interprofessionality to support the development of an interprofessional informatics leadership skill set

Describe how the competing values framework supports knowledge leadership and interprofessional informatics practice to achieve collective impact in health care contexts

Explain the core competencies expected to support culturally-sensitive interprofessional practice to deepen leadership insights in interprofessional informatics

Discuss selected policy, practice, and standardization issues related to knowledge representation and framing to support interprofessional informatics practice

Analyze the future of interprofessional informatics leadership to develop an anticipatory leadership skill set

Leadership in Interprofessional Informatics

Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN


Molecular Tumor Board 2023-2024

Se trata de un curso que nace a raíz de una de las sesiones formativas que realiza cada 15 días el Servicio de Oncología Médica del Hospital Clínic de Barcelona (HCB). En este curso se presentan casos clínicos simulando un MTB de tumores sólidos, con un objetivo principal, mejorar el conocimiento específico del impacto clínico del perfil molecular en tumores sólidos.

Está destinado a médicos oncólogos y a estudiantes y profesionales vinculados a la oncología médica. Cada seminario que conforma el curso lo presenta un profesional de una patología diferente del Servicio de Oncología Médica del HCB.

Dra. Laura Mezquita Perez
Dr. Aleix Prat Aparicio
Eva Paradell Salinas
Mercè Moreda


Transition to Nursing Practice

This course prepares learners to successfully transition from nursing education to professional clinical practice. It focuses on career preparation, workplace readiness, and professional growth strategies essential for new nurses entering the healthcare field. Learners will explore how to identify ideal job settings, research healthcare organizations, and align personal goals with career opportunities.
The course also covers resume building, interview preparation, negotiation techniques, and navigating workplace culture. By the end, learners will gain the confidence and skills needed to secure employment, adapt to diverse healthcare environments, and thrive as professional nurses delivering high-quality patient care.

Amber Vanderburg
Jacquelyn McMillian-Bohler, PhD, CNM


Named a top 50 MOOC of all time by Class Central!

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.

In the first half of the course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin?  We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome.

In the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks.  The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA?  Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA.  Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems.

Finally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go "dormant" within a host for many years before causing an active infection.

Finding Hidden Messages in DNA (Bioinformatics I)


Foundations of AI in Healthcare

Artificial intelligence is transforming healthcare by improving diagnosis, enhancing patient care, and streamlining clinical workflows. If you’re a technologist aiming to apply your skills to healthcare challenges, or a healthcare professional eager to understand and shape the AI tools you’ll work with, this course is for you.

In this course, you’ll explore the current landscape of AI in healthcare and understand the opportunities and challenges. You’ll then learn about the fundamentals of healthcare data and what makes it unique. You’ll discover why privacy, security, and ethical considerations are critical, and how regulatory frameworks influence the use of AI in medicine. You’ll learn about the machine learning workflow, including defining clinical problems, preparing data, selecting and training models, evaluating performance, deploying solutions, and monitoring results.

Key features of this course are guided Jupyter labs on diabetes classification and bias detection, and a final project on liver disease detection.

By the end of the course, you’ll have the foundational skills to apply machine learning responsibly, ethically, and effectively to real-world clinical challenges.


This course was developed by the Karolinska Institutet (KI) and the Federation of the European Academies of Medicine (FEAM) as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.

This course is primarily aimed at highly specialised technical professional groups (healthcare authorities, policymakers, researchers and other academics) interested in learning more about the One Health approach. The modules are for participants who are likely to have previous knowledge about the concept in one specific area or pillar but not necessarily in all of them.

The course will provide basic knowledge and contextualisation of One Health in creeping crises, such as the COVID-19 pandemic. Attending the course, participants will identify enablers, limitations, barriers, and next steps in and to the One Health concept and operationalisation.

PERISCOPE website: https://www.periscopeproject.eu/
KI website: https://ki.se/en
FEAM website: https://www.feam.eu/

One Health: Pandemic preparedness, prevention, and response


This course addresses statistics, bioinformatics, and machine learning/artificial intelligence in the study of sex differences and SABV research. You'll learn from experts about the following:

addressing common statistical errors,
describing challenges related to the measurement of peri and postmenopausal women in research,
considering methods to control for hormones in research,
identifying preclinical models to answer questions regarding sex differences,
illustrating the latest uses of machine learning and artificial intelligence.

This course is the third of three courses in the Specialization: Sex as a Biological Variable in the Conduct of Research.

Experts:
Nannette Santoro, MD, University of Colorado Anschutz
Kerrie Moreau, PhD, University of Colorado Anschutz
Nancy Lane, MD, UC Davis
Nina Stachenfeld, PhD, Yale School of Medicine
Janet Rich Edwards, ScD, MPH, Harvard University
Audrey Hendricks, PhD, University of Colorado Anschutz
Carolyn Mazure, PhD, Yale School of Medicine

Statistics, Bioinformatics, and AI in SABV Research

Ludeman Family Center for Women's Health Research


This course, Nursing Leadership: Ethics & Legal Considerations,equips nurse leaders with the knowledge and practical tools to navigate the complex ethical and legal challenges they face in healthcare settings. Throughout this course, you will explore core ethical principles, legal responsibilities, and decision-making frameworks that directly impact patient care, staff management, and organizational compliance. By applying these concepts, you’ll be better prepared to lead with integrity, mitigate legal risks, and foster a culture of accountability and ethical practice within your team. This course uses real-world case studies, hands-on exercises, and reflective learning to help you strengthen your leadership capabilities and ensure your team operates within legal and ethical boundaries, ultimately improving patient care outcomes and organizational success.


Communication in Healthcare

This course explores effective communication strategies for healthcare professionals to enhance teamwork and patient care. Learners will reflect upon giving and receiving feedback, managing emotions, addressing microaggressions, and handling conflict in the workplace. Through real-world scenarios, nurses learn to build trust, foster collaboration, and communicate with empathy across interdisciplinary teams.


Achieving Health Equity in Healthcare

The third and the last course of the Addressing Racial Health Inequity in Healthcare specialization will go through various approaches that are used to addressing racial inequity in healthcare., and the strengths and challenges of those approaches. You will explore legal, policy, and regulatory approaches to interventions such as Title IX in the United States. You will explore what is being done to intervene on providers to reduce differential care. You will unpack quality improvement and multiple approaches to leveraging healthcare systems and community partnerships to address access to care. You will also come to understand the history and role of community health centers in being critical infrastructure in addressing the health needs of diverse populations. Finally, you will be introduced to the workforce initiatives and the reparations that aim to close the racial and ethnic healthcare disparities gaps.


Ethical Consideration in Digital Health

This module addresses the ethical, legal, and privacy challenges associated with digital health technologies. Learners will evaluate regulatory compliance, patient data protection, and ethical decision-making in the adoption of digital tools in healthcare.


MOST from a Conceptual Perspective

This course is aimed at intervention scientists working in any area--including public health, education, criminal justice, and others—interested in learning about an innovative framework for conducting intervention research.  This course will show you how to use the multiphase optimization strategy (MOST) to: streamline interventions by eliminating inactive components; identify the combination of components that offers the greatest effectiveness without exceeding a defined implementation budget; develop interventions for immediate scalability; look inside the “black box” to understand which intervention components work and which do not; and improve interventions programmatically over time.  In this course you will relate the MOST framework to your research objectives; learn how MOST differs from the standard approach to intervention development and evaluation; learn how to complete the preparation and optimization phases of MOST; and become familiar with rigorous and highly efficient experimental designs that will enable you to examine the performance of individual intervention components.


Breeding programmes are key to the genetic improvement of plant varieties and animal breeds used in agriculture. This unique course shows how to model an existing or new breeding programme and the evaluation of alternative breeding scenarios.

This online course will equip participants with an understanding of computer modelling of breeding programmes to enhance genetic improvements in agriculture. The modelling is done through the AlphaSimR package.

The package provides a set of functions that represent breeding activities. The combination of these functions in an R script allows the modelling of simple and arbitrarily complex breeding programmes. It also allows evaluation of the effects of alternative breeding scenarios on the rate of genetic improvement and other key performance indicators.

The course is taught by experts in the field and is applicable to a range of breeding programmes as demonstrated through local and global case studies.

Breeding Programme Modelling with AlphaSimR


CREO Stress Management for Employees and Startup Founders helps employees, founders, and early-stage teams understand how stress affects judgement, behaviour, relationships, and decision-making at work.

This course is designed for employees, managers, team leaders, entrepreneurs, and startup founders who work under pressure and want to understand, recognise, and manage stress more effectively in professional settings. It is especially relevant for people making decisions in fast-paced, uncertain, or high-responsibility environments. Through this course, you will explore how stress shapes behaviour, judgement, and wellbeing in demanding environments.

By the of this course you will learn how to identify stress triggers, apply practical coping techniques, strengthen resilience, and sustain effectiveness in fast-paced professional settings.


Financial Planning

This course aims to furnish learners with the essential knowledge necessary for comprehending financial statements, financial markets, economic dynamics, and the construction of investment portfolios.

The programme's first module serves as an introductory session, elucidating fundamental finance terminologies, and the imperative nature of financial planning. Additionally, it also offers the strategic insights into prudent management of loans and credit to evade potential debt pitfalls.

Subsequently, the second module delves into the pathways leading to financial independence. The third module scrutinizes on the various streams of income, exploring their diverse forms and implications.
In the fourth module, participants will acquire a comprehensive understanding of investment fundamentals, encompassing an array of investment vehicles and available avenues for deployment. Modules five and six are dedicated to elucidating the rudiments of life and health insurance, as well as strategies for effective tax planning.

At the culmination of this course, the participants develop a holistic understanding of financial planning, enabling them to navigate the intricacies of financial management with confidence and proficiency.

Who should take this course?
This program offers valuable insights to learners who are looking to explore their personal financial landscape in a systematic manner and to grasp the implications of broader economic factors such as taxation and inflation.

What do you need to know before taking this course?
While the modules related to financial independence, investing, insurance, and taxation are designed to be comprehensive, any pre-existing knowledge in these areas could enrich the learner’s experience, although it is not mandatory.

Hemant Gupta
Karan Mehta
Sumanth Karlapudi
Prasanna Tantri
Anand Shekhar


Creating Engaging Content for YouTube

Learn the video production process for YouTube, from planning and scripting to shooting, editing, and channel optimization. This course teaches you how to create professional-quality videos that capture viewer attention and leverage YouTube's powerful algorithm for maximum reach and engagement.

Through hands-on lessons, you'll learn to develop compelling video scripts, produce high-quality content using accessible equipment, and implement YouTube SEO best practices. You'll also discover strategies for creating effective YouTube Shorts, managing live streams, and building a sustainable channel strategy that drives audience growth.

By the end of this course, you will be able to:

- Create professional-quality videos optimized for YouTube's platform and algorithm
- Develop compelling video scripts and storyboards that maintain viewer attention
- Master video production techniques using smartphones and basic editing software
- Design effective channel branding and content strategies
- Build and engage a YouTube community through strategic content planning
- Analyze channel performance and optimize content using YouTube Analytics
- Implement YouTube monetization strategies and growth opportunities

Apply your skills in a final project where you'll create a complete YouTube channel launch package for a fictional brand.


Professional Skills: Digital Security

Safeguard your personal and professional digital footprint. This course equips you with essential cybersecurity strategies to protect information and minimize digital risk.

As more data is stored and shared online, digital safety and security have become crucial professional competencies. Led by Dr. Nicholas Proferes of ASU’s School of Social and Behavioral Sciences, this course covers foundational digital security principles, practical tools to protect sensitive information, and proactive strategies to detect, prevent, and respond to cyber threats. Through interactive exercises and real-world scenarios, you’ll build confidence in managing digital risks and protecting your data across personal and workplace environments.


After successfully completing this project, you will have created a cover letter and an envelope using Microsoft Word.

While composing a cover letter, you will use various features in Word such as headers, styles, and page size. You will also learn how to adjust page margins and use the markers on the ruler. This project is useful for learning the basic features in Word to create a formal block style letter and envelope.

Create a Cover Letter with an Envelope using Microsoft Word


Research Methodologies

This course focuses on research methodologies. In this vein, the focus will be placed on qualitative and quantitative research methodologies, sampling approaches, and primary and secondary data collection. The course begins with a discussion on qualitative research approaches, looking at focus groups, personal interviews, ethnography, case studies and action research. We will also discuss quantitative research methods with a focus on experimental research design and survey methodology. There will be an exploration of the sampling design process and different sampling approaches, including probability and non-probability sampling as well as sample size and non-response issues. We will look at the nature and scope of primary and secondary data, and the importance of measurement. We will look at the role of the Internet in market research as well as non-comparative scaling techniques. The course ends with a discussion on different data collection approaches, with a focus on observation, content analysis, narrative research, phenomenology, and the collection of data using ethnography.


Foundations of Measuring the Intangible

This course introduces intuitive measurement techniques to tackle seemingly immeasurable concepts and provides insights into how to approach uncertainty with confidence. Learners will be guided through the process of quantifying uncertainty and challenging misconceptions about measurement.

Key topics include defining and scaling measurements, the philosophical debates around risk, and methods for intuitive estimation. You’ll examine the foundational ideas of measuring intangibles, learn to clarify complex measurement problems, and understand how to confidently deal with ambiguity.

The course presents real-world examples and thought-provoking quizzes to help learners gain clarity in their measurement journey. By the end of this course, you will be equipped with practical tools and clear reasoning to measure what others deem immeasurable.

This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

This Specialization is based on the book How to Measure Anything: Finding the Value of “Intangibles“ in Business, by Douglas W. Hubbard.

From How to Measure Anything Copyright © 2014 by Douglas W. Hubbard. All rights reserved. Used by arrangement with John Wiley & Sons, Inc.


Successful Presentation

Few kinds of communication can have the effect of a powerful presentation.  Even a short speech can motivate people to change long-held beliefs or to take action, and a wonderfully delivered speech can transform a normal person into a leader.

In this course, Prof. William Kuskin provides a series of pragmatic videos and exercises for successful public speaking and presentations. The course develops through four themes—mastering fear, developing a creative formula, using verbal and body language, and anticipating the room—so that you can discover your personal power as a speaker and give excellent presentations.

Successful presentations do not rely on perfect teeth, a deep voice, or an army of scriptwriters.  They depend largely on the same skills as successful Business Writing and Graphic Design: clarity, structure, and revision. The goal of the course, therefore, is to enable you to discover your own internal power as a speaker and express it to the world.  After this course, with some practice, you will be able to go into any situation and command the room for as long as you like.

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.


Advance your B2B sales skills by adopting consultative selling frameworks that drive trust and influence long-term buyers. This course focuses on core methodologies for uncovering customer needs, negotiating effectively, and personalizing every stage of the sales process for diverse markets. Through scenario-based learning and real-world projects, you’ll develop the confidence to engage C-suite officers, respond to RFPs, and craft winning presentations—laying the groundwork for impactful, scalable client partnerships in the US and India.

Consultative Selling and Buyer Engagement


Portfolio, Interview, and Job Strategy

This short course helps you turn coursework into job-ready career assets. You’ll clarify a career narrative with an AI-guided dialogue, watch an industry story for inspiration, and read concise guidance on resumes and portfolio curation. The core hands-on lab walks you through selecting 3–5 artifacts, annotating each for measurable impact, and drafting three quantified accomplishment statements plus a targeted LinkedIn/resume summary. You’ll practice high-pressure interview responses in an AI role-play that gives structured feedback. A final assessment asks you to submit one annotated artifact, three accomplishment statements, and your resume summary. All activities use templates, sample prompts, and clear rubrics so you can complete work without paid tools.


Negotiations For Leaders

The CREO Negotiation for Leaders Course supports professionals and leaders in developing practical negotiation skills to communicate needs, manage expectations, and reach effective agreements. The course focuses on negotiation as a structured, strategic process rather than an adversarial exchange, enabling learners to approach deal-making with clarity, confidence, and purpose.
Participants explore key negotiation concepts, including preparation, value creation, stakeholder interests, and decision-making dynamics. Through applied frameworks and real-world examples, learners develop strategies to structure negotiations, articulate positions clearly, and respond constructively to pressure and resistance. The course also addresses communication techniques that support credibility, relationship management, and long-term outcomes across different negotiation contexts.
By emphasizing preparation, adaptability, and strategic thinking, the course equips learners to negotiate more effectively in professional, leadership, and organisational settings.
By the end of this course, you will be able to:
- Explain key principles and stages of effective negotiation
- Prepare a structured negotiation strategy aligned with desired outcomes
- Apply communication techniques to express needs and expectations clearly
- Assess interests, trade-offs, and options in negotiation scenarios
- Use practical tools to reach balanced and sustainable agreements
Prerequisites:
- No prior negotiation or leadership training is required. The course is suitable for professionals, managers, and emerging leaders seeking to strengthen their negotiation and deal-making capabilities.


Investing time in your management skills will pay dividends for you and your team (and your boss!), yet most people never study management in any scientific way. Excellent management is actually easy to learn, but trying to pick it up by copying good or bad leaders is surprisingly difficult. Improvising as you go rarely leads to consistently effective results.

As a leader, there’s a lot on your plate. You’re expected to lead a team, make tough decisions, delegate work (without micromanaging!), and somehow keep everyone happy and productive. On top of that, you need to delegate properly, avoid burnout, and make your boss think you’ve got everything under control. The good news? This course is here to help.

You’ll learn the difference between management and leadership, how to delegate effectively, what your leadership options are, how to motivate different types of people, and when to empower others without slipping into abdication.

I designed this course specifically for people just like you—those thrown into the deep end of leadership who want practical advice that works right now. Whether you’re managing a small team or leading in a large organization, I’ll give you the tools and strategies you need to succeed.

You’ll love this course because it isn’t a boring list of “dos and don’ts.” It’s packed with real-world, practical advice that’s been tested by thousands of managers I’ve worked with. I’m Chris Croft, and with over 20 years of experience, I specialize in making leadership simple, practical, and even a bit fun.

Management Complete Guide - Succeed in Leadership Roles


By the end of this course, you will be able to clearly define your business direction, prioritize what truly matters, and make confident decisions using a simple one-page strategy. You’ll walk away with a practical plan that brings focus to your goals, daily actions, and revenue—without the overwhelm of traditional business planning.

In this course, entrepreneur and strategist Tamara Jensen guides you through a streamlined, step-by-step process to align your mission, audience, goals, activities, marketing, and revenue model on a single page. This course is unique because it cuts through complexity and helps you build a strategy you’ll actually use, one that supports both clarity and momentum.

This course is designed for solopreneurs at any stage, whether you’re just starting out, pivoting, or feeling scattered and ready to refocus. By the end of the course, you will be able to articulate your mission and vision, identify your ideal audience, set SMART goals, map core activities, choose effective marketing channels, and create a sustainable revenue model.

To be successful, no prior business background is required—just an open mind, a willingness to reflect, and a desire to create a clear, actionable roadmap for your business.

Your Solopreneur Strategy: Grow Your Business with Clarity


FinTech Foundations and Overview

Our primary goal is to help you to understand FinTech and to become more confident and persuasive in your ability to analyze and make recommendations to executives within the finance industry regarding how to react to these changes.

This FIRST MOOC ON FINTECH IN ASIA-PACIFIC offered by HKUST presents the insight of several professors from the top business school in Asia as well as perspectives from industry professionals.  HKUST has been ranked for many years as the No.1 EMBA program in the world, as the number one Finance program in Asia, and as the top MBA program in Asia by multiple independent rating and review journals and surveys.

This course "FinTech Foundations and Overview" offers the combined strengths of HKUST in Business, Finance, and Technology as one the world's leading academic institutions on an important area of technology and business innovations.  For learners from outside Asia, this also gives an insight into changes happening in the most advanced FinTech markets of the world, since Asia leads worldwide in FinTech adoption and creative innovations.

7 hours of videos in total, plus a final project requiring about 5 hours to complete.

The Hong Kong University of Science and Technology


Emerging Markets - Jagdish Sheth

The rise of emerging economies is bringing significant changes in the marketing practice. The traditional notion of extending products and services designed for advanced economies is no longer as successful in emerging markets. This is primarily because of affordability and accessibility. Moreover, most consumption in emerging markets is unbranded products and services, and unorganized competition. This course identifies five dimensions where emerging markets are different. The traditional approach of think global, act local (glocal) is replaced by a new perspective of think local, act global, especially in large emerging markets such as China and India.


By the end of this course, learners will be able to analyze employee performance data, calculate performance-based increments, build and refine Pivot Tables, compare results across departments and locations, and evaluate budget deviations to support data-driven decisions.

This course provides a practical, hands-on case study focused on employee performance ratings, designed to help learners move beyond basic Excel functions into real-world analytical thinking. Learners will begin by understanding and preparing a structured dataset, applying formulas to compute performance metrics, and visualizing data relationships. The course then guides learners through constructing Pivot Tables to answer business questions, perform comparative analysis, and uncover meaningful performance trends.

What makes this course unique is its end-to-end, scenario-based approach. Instead of isolated Excel features, learners work through a single, coherent business case that mirrors real workplace analysis. Each step builds progressively, reinforcing analytical skills and practical problem-solving.

Upon completion, learners will gain job-relevant Excel skills, improved confidence in performance analysis, and the ability to transform raw HR data into actionable insights—skills directly applicable to roles in business analysis, HR analytics, and operations.

Analyze Employee Performance Using Excel Pivot Tables


This financial analysis course develops the ability to evaluate financial performance using core ratio interpretation and structured financial analysis frameworks thereby equipping learners with the practical skills demanded across financial planning and analysis, investment, and strategic finance roles.

Learners begin with profitability ratios and return metrics, examining how organizations generate earnings and deploy capital based on income statement and balance sheet data. The course further explores liquidity ratios, efficiency ratios, and working capital management to assess operational effectiveness and short-term solvency. In the final module, learners analyze capital structure, interest coverage ratios, and benchmarking techniques to evaluate long-term financial stability and industry performance.

Throughout the course, emphasis is placed on interpreting financial statements in context henceforth enabling learners to identify organizational strengths, weaknesses, and financial risks through financial analysis of a company. By the end, participants will be equipped to apply ratio interpretation to assess profitability, efficiency, and overall financial health in real-world business settings.

Financial Analysis and Ratio Interpretation


Feedback Skills

Updated in May 2025.

This course now features Coursera Coach!

A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.

Master the art of effective communication with this comprehensive course on Feedback Skills. Gain essential insights into giving and receiving feedback, ensuring your communication is constructive and impactful. By the end of this course, you’ll have the tools to deliver feedback that inspires growth and fosters collaboration.

Begin your journey by learning how to deliver negative feedback constructively, followed by best practices for giving and receiving feedback. Discover the emotional responses involved and how to navigate them effectively. Gain insights into crafting quality feedback and employing techniques that leave a lasting, positive impression on the recipient.

Next, explore the principles that underpin great feedback and dive deep into the nuances of constructive feedback. Learn to balance the positive with the critical, ensuring your communication supports personal and professional growth. Conclude with an exploration of feedback mechanisms to monitor progress and enhance performance continuously.

This course is ideal for professionals, managers, and leaders looking to elevate their communication skills. No prior experience is required, but a willingness to reflect on communication practices is essential. With a beginner-friendly approach, this course equips you with skills that are practical and immediately applicable.


Learners will be able to analyze price trends, interpret technical indicators and oscillators, evaluate market cycles, and apply technical analysis across multiple asset classes including equities, fixed income, futures, currencies, options, and exchange-traded products.

This course provides a comprehensive introduction to technical analysis aligned with CMT Part I learning requirements. Learners develop a strong foundation in charting principles, trend and reversal analysis, Point & Figure techniques, momentum and breadth indicators, and cycle theory. Through structured modules, the course progresses from core price-based analysis to advanced applications across global financial markets, enabling learners to interpret market behavior with confidence and discipline.

By completing this course, learners gain practical skills to assess market direction, validate trading signals, manage risk through volatility awareness, and understand intermarket relationships. The course emphasizes real-world applicability, analytical rigor, and exam relevance, making it suitable for aspiring technical analysts, traders, portfolio managers, and finance professionals.

What makes this course unique is its integrated approach—combining classical charting, indicator analysis, cycle theory, and cross-asset application within a single, cohesive learning path—while maintaining strong alignment with professional certification standards and industry best practices.

Analyze Financial Markets with Technical Analysis


Claude AI for Marketing

In this course, you will master the art of AI-driven marketing using Claude, moving far beyond basic prompt engineering to build sophisticated, long-form strategies. You’ll learn to leverage Claude’s massive context window for deep market synthesis, craft high-conversion copy for ads and emails, and scale your brand’s visual identity without losing the human touch.

What makes this course unique is our rigorous focus on the "human-in-the-loop" framework. We don’t just show you how to generate content; we teach you how to audit, edit, and fact-check AI outputs to eliminate the sterile "AI smell" and maintain absolute brand integrity. You will explore advanced techniques in SMM automation, visual prompting for image generation, and the critical nuances of ethical data handling within regulated industries.

Whether you are a seasoned marketer looking to turbocharge your workflow or a founder building a brand from scratch, you’ll gain a structured treasure trove of practical frameworks. By the end of this program, you will transform Claude into a strategic partner that understands your brand’s nuances as well as you do, allowing you to execute complex, multi-channel campaigns with unprecedented speed and precision.


Critical Thinking for Decision Making

The CREO Critical Thinking for Decision Making Course supports professionals in developing a structured approach to analysing problems and making well-reasoned decisions. The course focuses on critical thinking as an applied workplace skill—helping learners slow down automatic reactions, challenge assumptions, and evaluate information objectively before choosing a course of action.
Participants explore practical tools for defining problems, identifying relevant evidence, and examining different perspectives. The course also addresses common cognitive biases and reasoning errors that can affect judgment, especially under pressure or uncertainty. Through real-world scenarios and applied exercises, learners practise building clear arguments, testing options against criteria, and communicating decisions with rationale.
By emphasising systematic thinking and reflective questioning, the course enables learners to approach complex situations with greater clarity, consistency, and confidence.
By the end of this course, you will be able to:
- Define and frame problems using a structured approach
- Identify assumptions, biases, and gaps in reasoning
- Analyze information and viewpoints to evaluate options
- Apply decision criteria to compare alternatives
- Justify decisions using clear and evidence-based reasoning
Prerequisites:
- No prior training in critical thinking or logic is required. The course is suitable for professionals and emerging leaders who want to improve decision-making in workplace contexts.


Did you know that 82% of small businesses fail due to poor cash flow management? Financial ratios are the early warning system that can prevent this crisis.

This Short Course was created to help accounting professionals accomplish mastery of essential financial metrics analysis that drives business insights.

By completing this course, you'll be able to confidently define key financial ratios like current ratio, gross margin, and days-sales-outstanding, then apply proven calculation methods using spreadsheet tools to identify critical variances that inform strategic decisions. You'll transform raw financial data into actionable intelligence that supports daily operations and monthly close processes.

By the end of this course, you will be able to:
Recall definitions of key financial metrics with precision and clarity.
Apply calculation methods to determine performance indicators and spot unusual trends.

This course is unique because it bridges foundational knowledge with practical application, using real business scenarios and spreadsheet techniques that mirror actual workplace practices in accounting environments.

To be successful in this project, you should have a background in basic accounting principles and familiarity with spreadsheet software.

Financial Ratios: Analyze & Apply Key Metrics


Report Results Clearly

Clear reporting transforms marketing professionals from data collectors into strategic decision-makers. This Short Course was created to help marketers accomplish the critical skill of translating campaign metrics into actionable insights that drive team success.

By completing this course, you'll be able to summarize campaign performance effectively and prepare professional reports that demonstrate your marketing expertise to leadership and colleagues.

By the end of this course, you will be able to:
Summarize the components of a basic email campaign performance report
Prepare a one-page summary report of the latest campaign for team review

This course is unique because it focuses on the often-overlooked skill that differentiates high-performing marketers: the ability to transform raw data into compelling narratives that influence decisions.

To be successful in this project, you should have basic familiarity with email marketing platforms and experience interpreting simple performance metrics.


Based on the book, Artificial Intelligence in Practice, by Bernard Marr and Matt Ward. Artificial Intelligence is transforming how organizations operate, compete, and innovate across industries. This course explores how leading global companies apply AI, machine learning, and deep learning to drive growth, efficiency, and customer value in the real world.

Through in-depth case studies of organizations such as Amazon, Google, Microsoft, and Tesla, you will discover how AI powers retail, healthcare, finance, manufacturing, media, and beyond. You will gain practical insights into how businesses use AI for fraud detection, recommendation systems, automation, predictive analytics, customer personalization, and operational optimization. By the end of the course, you will be equipped to identify AI opportunities within your own organization and contribute to AI-driven strategy.

What makes this course unique is its strong focus on real-world implementation rather than abstract theory. Each module connects AI concepts to tangible business outcomes, showing how industry leaders turn data and algorithms into measurable competitive advantage.

This course is ideal for business professionals, managers, entrepreneurs, consultants, and technology leaders who want to understand how AI creates value in practice. No programming experience is required, but a basic understanding of business concepts and digital technologies will be helpful.

Copyright 2019 Bernard Marr, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, United Kingdom

Artificial Intelligence in Practice for Business


Welcome to the “Introduction to AI for marketing professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the marketing profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, marketing-focused applications.

By the end of this course, you will be able to:
- Understand the fundamentals of AI and its potential opportunities in marketing
- Explore and recognize risks and limitations associated with AI and how to address them
- Practice with different AI tools to get hands-on experience
- Get started with essential prompting techniques for using different Generative AI models
- Discover and try out various marketing-specific use cases and AI technologies, explore the ways to integrate them into daily job routines
- Participate in a project to generate a marketing-specific AI use case idea with an interest in programming.
- Prepare for the next phase of your AI journey, progressing from foundational to advanced applications

Welcome to the unique “Introduction to AI for marketing professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.


Apply SOLID Design to Optimize Java ML

"Tired of ""God Classes"" and spaghetti code in your Java ML projects? This course, ""Enhance Java ML Design with SOLID Principles,"" is for senior developers and architects ready to build resilient software. The secret to reliable systems is accepting that requirements always evolve. Master the S.O.L.I.D. principles to write code that embraces future changes with minimal impact.

This course is designed for senior Java developers and architects with at least 6 months of hands-on experience in Java programming and basic knowledge of machine learning. If you're ready to tackle "God Classes" and spaghetti code, and want to optimize your Java ML projects with SOLID principles for scalability, maintainability, and flexibility, this course is for you.

To get the most out of this course, learners should have at least 6 months of hands-on experience with Java programming, including a solid understanding of object-oriented programming (OOP) concepts such as classes, interfaces, and abstract classes. Additionally, a basic knowledge of machine learning (ML) concepts is essential to fully grasp how to apply SOLID principles to Java ML projects.

By the end of this course, you’ve unlocked the power of SOLID principles to create flexible, scalable, and maintainable Java ML systems. You now have the tools to refactor messy code, design modular components, and evaluate trade-offs between performance and design. With your newfound expertise in SOLID, Maven, Gradle, and best practices, you're ready to build production-ready machine learning applications that can evolve with ease. Keep applying these principles, and your code will become more reliable and adaptable with every project. Best of luck as you continue to level up your skills in Java and machine learning!


ML Pipelines on Google Cloud - Français

Dans ce cours, vous profiterez de l'expérience d'ingénieurs et de formateurs en ML qui développent des pipelines de ML chez Google Cloud à l'aide de technologies de pointe. Les premiers modules porteront sur TensorFlow Extended (TFX), la plate-forme Google de machine learning de production basée sur TensorFlow et conçue pour gérer des pipelines et des métadonnées de ML. Vous explorerez les composants de pipelines et apprendrez à orchestrer des pipelines avec TFX. Vous verrez également comment automatiser vos pipelines au moyen d'une intégration et d'un déploiement continus, et comment gérer des métadonnées de ML. Ensuite, nous découvrirons comment automatiser et réutiliser des pipelines de ML sur plusieurs frameworks de ML tels que TensorFlow, PyTorch, scikit-learn et XGBoost. Vous apprendrez également à utiliser Cloud Composer, un autre outil Google Cloud, pour orchestrer vos pipelines d'entraînement continu. Enfin, nous verrons comment utiliser MLflow pour gérer l'ensemble du cycle de vie du machine learning.


Parallel Computing with MPI

This course is designed for scientists, engineers, students, and professionals looking to develop efficient solutions for high-performance and distributed computing systems. It focuses on parallel programming using the Message Passing Interface (MPI), a standard for scalable communication across multiple processors. Learners should have basic programming experience in C or C++ and familiarity with Linux. No prior knowledge of MPI is required.

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.


This course features Coursera Coach!
A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
This course dives deep into applied machine learning and model optimization, covering everything from foundational concepts to advanced algorithms. You'll gain hands-on experience working with different types of machine learning models, evaluating their performance, and fine-tuning them for optimal results. The course emphasizes practical, real-world applications, with interactive projects and mini-projects to ensure you can implement what you learn.
Throughout the course, you'll explore core machine learning algorithms such as regression, classification, ensemble methods, and advanced techniques like XGBoost and LightGBM. You'll also focus on model optimization, including hyperparameter tuning, cross-validation, and regularization techniques. These skills will allow you to enhance the performance of your models, even in complex scenarios.
This course is designed for learners who already have a basic understanding of machine learning and wish to build more advanced skills in model building and optimization. It is ideal for those looking to pursue careers in data science, machine learning engineering, or AI development.
By the end of the course, you will be able to implement various machine learning algorithms, optimize model performance using hyperparameter tuning, and evaluate models effectively for real-world tasks.

Applied Machine Learning and Model Optimization


This comprehensive course teaches students to build machine learning models using Java, with focused emphasis on entropy as the mathematical foundation for intelligent decision-making algorithms. Students implement entropy calculations from scratch, learning how information gain drives optimal splitting decisions in classification algorithms.

The curriculum covers building complete decision tree classifiers using the ID3 algorithm, implementing recursive tree construction, handling stopping conditions, and mastering evaluation techniques including train-test splits, confusion matrices, and performance metrics like accuracy, precision, and recall. Advanced topics include handling continuous attributes and missing values, building random forest ensemble models for improved accuracy, and deploying production-ready systems with model persistence and prediction interfaces. The course emphasizes hands-on implementation with demonstrations and lab exercises where students build ML systems from scratch. By the final project, students create an end-to-end customer churn prediction system, synthesizing entropy theory, algorithm implementation, evaluation, and deployment skills."

Java developers and data enthusiasts who want to understand machine learning from the ground up by building decision trees and random forests in Java and applying them to real-world problems.

Basic Java programming skills, familiarity with object-oriented concepts, and experience using common data structures like Lists and Maps.

By the end of this course, you’ll be able to build, evaluate, and deploy entropy-based machine learning models in Java. You’ll implement decision trees and random forests, apply core evaluation metrics, and turn theory into practical, real-world ML solutions.

Build Robust Java ML Models with Entropy


The Economics of AI

The course introduces you to cutting-edge research in the economics of AI and the implications for economic growth and labor markets. We start by analyzing the nature of intelligence and information theory. Then we connect our analysis to modeling production and technological change in economics, and how these processes are affected by AI. Next we turn to how technological change drives aggregate economic growth, covering a range of scenarios including a potential growth singularity. We also study the impact of AI-driven technological change on labor markets and workers, evaluating to what extent fears about technological unemployment are well-founded. We continue with an analysis of economic policies to deal with advanced AI. Finally, we evaluate the potential for transformative progress in AI to lead to significant disruptions and study the problem of how humans can control highly intelligent AI algorithms.


MLOps Tools: MLflow and Hugging Face

This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow and Hugging Face. We’ll go through the foundations on what it takes to get started in these platforms with basic model and dataset operations. You will start with MLflow using projects and models with its powerful tracking system and you will learn how to interact with these registered models from MLflow with full lifecycle examples. Then, you will explore Hugging Face repositories so that you can store datasets, models, and create live interactive demos.

By the end of the course, you will be able to apply MLOps concepts like fine-tuning and deploying containerized models to the Cloud. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their programming skills.


ML Pipelines on Google Cloud - 한국어

이 과정에서는 Google Cloud에서 최신 ML 파이프라인 개발을 담당하는 ML 엔지니어와 트레이너로부터 유익한 지식을 배웁니다. 초반에 진행되는 몇 개 모듈에서는 Google의 TensorFlow 기반 프로덕션 머신러닝 플랫폼으로서 ML 파이프라인과 메타데이터를 관리할 수 있는 TensorFlow Extended(TFX)에 대해 다룹니다. 파이프라인 구성요소와 TFX를 사용한 파이프라인 조정을 알아봅니다. 지속적 통합과 지속적 배포를 통해 파이프라인을 자동화하는 방법과 ML 메타데이터를 관리하는 방법도 배웁니다. 그런 다음 주제를 전환하여 TensorFlow, PyTorch, scikit-learn, xgboost 등 여러 ML 프레임워크에서 ML 파이프라인을 자동화하고 재사용하는 방법을 설명합니다. 또한 Google Cloud의 또 다른 도구인 Cloud Composer를 사용하여 지속적 학습 파이프라인을 조정하는 방법도 알아봅니다. 마지막으로 MLflow를 사용하여 머신러닝의 전체 수명 주기를 관리하는 방법을 살펴봅니다.


Developing AI Applications on Azure

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll  explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning.

Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service.

Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.

Ronald J. Daskevich, DCS
LearnQuest Network


This course delves into advanced deep reinforcement learning (RL) algorithms, exploring state-of-the-art techniques such as DQN extensions, policy gradients, and actor-critic methods. It focuses on optimizing and extending RL models to address complex real-world tasks, making it essential for professionals working with AI in dynamic environments.

Through a blend of theoretical discussions and practical applications, this course enables learners to apply RL strategies across domains like gaming, stock trading, and natural language environments. You’ll learn how to accelerate training processes and improve performance in diverse settings.

By mastering these advanced RL algorithms, learners gain the ability to tackle complex challenges in various domains confidently. The course focuses on not just understanding the theory behind the algorithms but also implementing them effectively in practical scenarios.

The course is perfect for professionals with a solid understanding of machine learning, especially those seeking to enhance their RL skills. Ideal for those working in AI development, game design, or financial modeling, it offers in-depth insights and actionable skills.

This course is part two of a three-course Specialization designed to provide a comprehensive learning pathway in Reinforcement Learning. While it delivers standalone value, learners seeking an in-depth progression may benefit from completing the full Specialization.

Advanced Deep RL Algorithms and Applications


In the rapidly advancing field of AI, fine-tuning, optimizing, and deploying models like DeepSeek are essential for building specialized, scalable systems. This course covers the most advanced techniques in AI model development, focusing on DeepSeek's adaptation for domain-specific applications such as legal reasoning, performance optimization, and deployment strategies.

Through in-depth lessons, learners will explore the fine-tuning process for improving model accuracy, optimizing performance, and deploying DeepSeek models in production environments. You will delve into topics like model distillation, cloud-based deployment strategies, and cost management, enabling you to scale AI systems effectively while ensuring performance meets real-world needs.

What makes this course stand out is its practical focus on deployment scenarios and optimization strategies that help learners apply their knowledge directly to the challenges they will encounter in professional settings. You'll gain the expertise to make strategic decisions regarding deployment frameworks, hardware, and production operations, making your AI models not only efficient but also sustainable in long-term applications.

This course is ideal for AI practitioners, engineers, and data scientists with experience in machine learning or deep learning. It requires familiarity with machine learning concepts and AI deployment practices.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Advanced DeepSeek: Fine-Tuning, Optimization, and Deployment


En este curso, analizaremos los componentes y las prácticas recomendadas de la creación de sistemas de AA de alto rendimiento en entornos de producción. Veremos algunas de las consideraciones más comunes tras la creación de estos sistemas, p. ej., entrenamiento estático, entrenamiento dinámico, inferencia estática, inferencia dinámica, TensorFlow distribuido y TPU. Este curso se enfoca en explorar las características que conforman un buen sistema de AA más allá de su capacidad de realizar predicciones correctas.

Production Machine Learning Systems - Español


Master the latest advancements in deep reinforcement learning, including continuous action spaces, trust region methods, black-box optimization, and multi-agent systems. Explore innovative approaches and real-world case studies at the frontier of RL research.

This course explores cutting-edge topics such as continuous control, trust region policy optimization, advanced exploration strategies, and reinforcement learning with human feedback. Learners will investigate high-profile applications like AlphaGo Zero and MuZero, as well as RL for discrete optimization and multi-agent environments. By engaging with these advanced topics, you will gain a comprehensive understanding of the current landscape and future directions of deep RL.

The course presents complex concepts through accessible explanations and practical examples, guiding learners through the latest research and its implementation. Emphasis is placed on understanding the motivations and mechanics behind each technique, fostering both depth and breadth of knowledge.

Designed for learners with a foundational understanding of RL, this course will deepen your expertise and prepare you for practical implementation in cutting-edge research and industry applications.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in Reinforcement Learning. While it delivers standalone value, learners seeking an in-depth progression may benefit from completing the full Specialization.

Cutting-Edge Topics in Deep Reinforcement Learning