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| # Resource checkpoint module lists, keyed by resource URL. | |
| # | |
| # Loaded by `python manage.py seed_initial_resources` (create-if-absent — it | |
| # never overwrites checkpoints a resource already has, so re-seeding can't drop | |
| # a learner's UserCheckpointProgress). Kept separate from resources.yaml so that | |
| # curated file's comments/ordering stay intact. | |
| # | |
| # `source: jsonld` lists were auto-extracted from the provider's public | |
| # schema.org/Course data via `manage.py import_checkpoints` and reviewed. | |
| # `source: manual` lists were hand-authored from the course's published outline | |
| # (the importer couldn't reach an outline: SPA page, bot wall, or — for the | |
| # YouTube videos — no YOUTUBE_API_KEY at seed time). | |
| # | |
| # Scope: COURSE and VIDEO resources only. DOCS/ARTICLE keep the single | |
| # completion checkbox (a reference ToC isn't a learning sequence). Enforced by | |
| # `manage.py check_checkpoints`. | |
| checkpoints: | |
| # ---- Auto-extracted (schema.org/Course JSON-LD) ---- | |
| - url: "https://www.coursera.org/specializations/python" | |
| source: jsonld | |
| titles: | |
| - Programming for Everybody (Getting Started with Python) | |
| - Python Data Structures | |
| - Using Python to Access Web Data | |
| - Using Databases with Python | |
| - "Capstone: Retrieving, Processing, and Visualizing Data with Python" | |
| - url: "https://www.coursera.org/specializations/machine-learning-introduction" | |
| source: jsonld | |
| titles: | |
| - "Supervised Machine Learning: Regression and Classification" | |
| - Advanced Learning Algorithms | |
| - Unsupervised Learning, Recommenders, Reinforcement Learning | |
| - url: "https://www.coursera.org/specializations/deep-learning" | |
| source: jsonld | |
| titles: | |
| - Neural Networks and Deep Learning | |
| - "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization" | |
| - Structuring Machine Learning Projects | |
| - Convolutional Neural Networks | |
| - Sequence Models | |
| - url: "https://www.coursera.org/specializations/django" | |
| source: jsonld | |
| titles: | |
| - Web Application Technologies and Django | |
| - Building Web Applications in Django | |
| - Django Features and Libraries | |
| - Developing and Deploying a Complete Django Web Application | |
| - url: "https://www.coursera.org/specializations/excel-data-analytics-visualization" | |
| source: jsonld | |
| titles: | |
| - Excel Fundamentals for Data Analysis | |
| - Data Visualization in Excel | |
| - Excel Power Tools for Data Analysis | |
| - url: "https://www.coursera.org/learn/sql-for-data-science" | |
| source: jsonld | |
| titles: | |
| - Getting Started and Selecting & Retrieving Data with SQL | |
| - Filtering, Sorting, and Calculating Data with SQL | |
| - Subqueries and Joins in SQL | |
| - Modifying and Analyzing Data with SQL | |
| - url: "https://www.coursera.org/professional-certificates/tensorflow-in-practice" | |
| source: jsonld | |
| titles: | |
| - "Introduction to TensorFlow for AI, Machine Learning, and Deep Learning" | |
| - Convolutional Neural Networks in TensorFlow | |
| - Natural Language Processing in TensorFlow | |
| - Sequences, Time Series and Prediction | |
| - url: "https://www.datacamp.com/courses/statistical-thinking-in-python-part-1" | |
| source: jsonld | |
| titles: | |
| - Graphical Exploratory Data Analysis | |
| - Quantitative Exploratory Data Analysis | |
| - Thinking Probabilistically — Discrete Variables | |
| - Thinking Probabilistically — Continuous Variables | |
| - url: "https://www.datacamp.com/tracks/data-engineer-in-python" | |
| source: jsonld | |
| titles: | |
| - Introduction to Python for Developers | |
| - Introduction to Importing Data in Python | |
| - Cleaning Data in Python | |
| - Writing Efficient Python Code | |
| - Streamlined Data Ingestion with pandas | |
| - Introduction to Git | |
| - Software Engineering Principles in Python | |
| - ETL and ELT in Python | |
| - Introduction to Apache Airflow in Python | |
| - url: "https://developer.hashicorp.com/terraform/tutorials/certification-003" | |
| source: jsonld | |
| titles: | |
| - Associate learning path (004) | |
| - Associate exam content list (004) | |
| - Associate sample questions (004) | |
| - url: "https://www.udemy.com/course/docker-mastery/" | |
| source: jsonld | |
| titles: | |
| - The Best Way to Set Up Docker for Your OS | |
| - Creating and Using Containers | |
| - Container Images — Finding and Building Them | |
| - "Persistent Data: Volumes" | |
| - "Docker Compose: The Multi-Container Tool" | |
| - Swarm Intro and Creating a Swarm Cluster | |
| - "Container Registries: Image Storage and Distribution" | |
| - The What and Why of Kubernetes | |
| - Kubernetes Architecture and Install | |
| - Docker Security Good Defaults and Tools | |
| - url: "https://www.udemy.com/course/feature-engineering-for-machine-learning/" | |
| source: jsonld | |
| titles: | |
| - Variable Types and Characteristics | |
| - Missing Data Imputation | |
| - Categorical Encoding | |
| - Variable Transformation | |
| - Discretization | |
| - Outlier Handling | |
| - Engineering Datetime Variables | |
| - Feature Scaling | |
| - Assembling a Feature Engineering Pipeline | |
| - url: "https://www.udemy.com/course/javascript-the-complete-guide-2020-beginner-advanced/" | |
| source: jsonld | |
| titles: | |
| - "Basics: Variables, Data Types, Operators & Functions" | |
| - Efficient Development & Debugging | |
| - Working with Control Structures | |
| - More on Functions | |
| - Working with the DOM | |
| - More on Arrays & Iterables | |
| - Classes & Object-oriented Programming | |
| - "Async JavaScript: Promises & Callbacks" | |
| - Working with HTTP Requests | |
| - Modular JavaScript | |
| - url: "https://www.udemy.com/course/microsoft-power-bi-up-running-with-power-bi-desktop/" | |
| source: jsonld | |
| titles: | |
| - Introducing Microsoft Power BI Desktop | |
| - Connecting & Shaping Data | |
| - Creating a Data Model | |
| - Calculated Fields with DAX | |
| - Visualizing Data with Reports | |
| - Artificial Intelligence (AI) Visuals | |
| - Power BI Optimization Tools | |
| - url: "https://www.udemy.com/course/react-the-complete-guide-incl-redux/" | |
| source: jsonld | |
| titles: | |
| - JavaScript Refresher | |
| - "React Essentials: Components, JSX, Props, State" | |
| - Styling React Components | |
| - Working with Refs & Portals | |
| - React's Context API & useReducer | |
| - Handling Side Effects with useEffect() | |
| - Sending HTTP Requests | |
| - Building Custom React Hooks | |
| - Working with Forms & User Input | |
| - Diving into Redux | |
| - Building a Multi-Page SPA with React Router | |
| - Adding Authentication to React Apps | |
| # ---- Hand-authored from the published outline (importer couldn't reach it) ---- | |
| - url: "https://www.edx.org/learn/linux/the-linux-foundation-introduction-to-linux" | |
| source: manual | |
| titles: | |
| - Introduction to Linux and Graphical Interfaces | |
| - The Linux Filesystem | |
| - Command Line Operations | |
| - Finding Linux Documentation | |
| - Text Editors and Manipulating Files | |
| - Bash Shell Scripting Basics | |
| - Users, Groups, and Permissions | |
| - url: "https://developer.confluent.io/learn-kafka/apache-kafka/events/" | |
| source: manual | |
| titles: | |
| - Events and Streams | |
| - Topics and Partitions | |
| - Producers and Consumers | |
| - Brokers and Replication | |
| - Kafka Connect and Kafka Streams | |
| - url: "https://www.databricks.com/spark/getting-started-with-apache-spark" | |
| source: manual | |
| titles: | |
| - Spark Architecture and Execution Model | |
| - DataFrames and Spark SQL | |
| - Transformations and Actions | |
| - Running Spark on Databricks | |
| - Performance Tuning and Optimization | |
| - url: "https://skillbuilder.aws/learn/aws-cloud-practitioner-essentials" | |
| source: manual | |
| titles: | |
| - Cloud Concepts | |
| - Security and Compliance | |
| - Core AWS Services and Global Infrastructure | |
| - Architecture and the Well-Architected Framework | |
| - Pricing, Billing, and Support | |
| - url: "https://learn.microsoft.com/en-us/training/paths/microsoft-azure-fundamentals-describe-cloud-concepts/" | |
| source: manual | |
| titles: | |
| - Describe Cloud Concepts | |
| - Describe Azure Architecture and Services | |
| - Describe Azure Management and Governance | |
| - Describe Security and Identity | |
| - Pricing, SLAs, and Service Lifecycle | |
| - url: "https://courses.getdbt.com/courses/fundamentals" | |
| source: manual | |
| titles: | |
| - Setting Up dbt and Connecting a Warehouse | |
| - Building Models | |
| - Sources and Seeds | |
| - Tests and Documentation | |
| - Deployment and Jobs | |
| - url: "https://grafana.com/tutorials/grafana-fundamentals/" | |
| source: manual | |
| titles: | |
| - Set Up Grafana | |
| - Add Data Sources | |
| - Build Your First Dashboard | |
| - Panels and Visualizations | |
| - Alerting Basics | |
| - url: "https://huggingface.co/learn/nlp-course" | |
| source: manual | |
| titles: | |
| - Transformer Models | |
| - Using Transformers | |
| - Fine-Tuning a Pretrained Model | |
| - The Datasets Library | |
| - The Tokenizers Library | |
| - Main NLP Tasks | |
| - url: "https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/" | |
| source: manual | |
| titles: | |
| - Models, Prompts, and Output Parsers | |
| - Memory | |
| - Chains | |
| - Question Answering over Documents | |
| - Agents | |
| - url: "https://laracasts.com/series/laravel-from-scratch-2026" | |
| source: manual | |
| titles: | |
| - Setup and Routing | |
| - Blade Templates and Layouts | |
| - Eloquent and Migrations | |
| - Controllers and CRUD | |
| - Authentication and Authorization | |
| - Deployment | |
| - url: "https://www.udemy.com/course/sql-and-postgresql/" | |
| source: manual | |
| titles: | |
| - SQL Fundamentals | |
| - Data Types and Constraints | |
| - Joins and Subqueries | |
| - Indexes and Query Performance | |
| - Functions, Triggers, and Views | |
| - Transactions and Concurrency | |
| - url: "https://learn.mongodb.com/courses/m001-mongodb-basics" | |
| source: manual | |
| titles: | |
| - Introduction and the Mongo Shell | |
| - CRUD Operations | |
| - Indexing and Aggregation | |
| - Data Modeling | |
| - Atlas and Compass Tools | |
| - url: "https://nextjs.org/learn" | |
| source: manual | |
| titles: | |
| - Getting Started | |
| - Routing and Navigation | |
| - Data Fetching | |
| - Rendering and Caching | |
| - Styling | |
| - Deployment | |
| - url: "https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/" | |
| source: manual | |
| titles: | |
| - Guidelines for Prompting | |
| - Iterative Prompt Development | |
| - Summarizing and Inferring | |
| - Transforming and Expanding | |
| - Building a Chatbot | |
| - url: "https://www.freecodecamp.org/learn/2022/responsive-web-design/" | |
| source: manual | |
| titles: | |
| - HTML Fundamentals | |
| - CSS Basics | |
| - Flexbox | |
| - CSS Grid | |
| - Responsive Design Principles | |
| - Building Responsive Projects | |
| - url: "https://learn.snowflake.com/" | |
| source: manual | |
| titles: | |
| - Snowflake Architecture | |
| - Loading and Unloading Data | |
| - Querying and Virtual Warehouses | |
| - Data Sharing | |
| - Security and Administration | |
| - url: "https://www.tableau.com/learn/training" | |
| source: manual | |
| titles: | |
| - Connecting to Data | |
| - Building Visualizations | |
| - Dashboards and Stories | |
| - Calculations and Table Calculations | |
| - Sharing and Publishing | |
| # ---- YouTube videos (source youtube_api = real chapter markers via the | |
| # Data API; manual = no chapter timestamps in description, hand-authored) ---- | |
| - url: https://www.youtube.com/watch?v=sVcwVQRHIc8 | |
| source: youtube_api | |
| titles: | |
| - Overview | |
| - Indexing | |
| - Retrieval | |
| - Generation | |
| - Query Translation (Multi-Query) | |
| - Query Translation (RAG Fusion) | |
| - Query Translation (Decomposition) | |
| - Query Translation (Step Back) | |
| - Query Translation (HyDE) | |
| - Routing | |
| - Query Construction | |
| - Indexing (Multi Representation) | |
| - Indexing (RAPTOR) | |
| - Indexing (ColBERT) | |
| - CRAG | |
| - Adaptive RAG | |
| - The future of RAG | |
| - url: https://www.youtube.com/watch?v=r-uOLxNrNk8 | |
| source: manual | |
| titles: | |
| - NumPy Basics | |
| - Pandas DataFrames | |
| - Data Cleaning | |
| - Data Visualization | |
| - Analysis Project | |
| - url: https://www.youtube.com/watch?v=RGOj5yH7evk | |
| source: youtube_api | |
| titles: | |
| - Introduction | |
| - What is git? | |
| - What is version control? | |
| - Terms to be learn in video | |
| - Git commands | |
| - sign up in GitHub | |
| - using git in local machine | |
| - git install | |
| - getting code editor | |
| - inside VS Code | |
| - cloning through VS Code | |
| - git commit command | |
| - git add command | |
| - committing | |
| - git push command | |
| - SSH Keys | |
| - git push | |
| - Review workflow so far | |
| - Compare between GitHub workflow and local git workflow | |
| - git branching | |
| - Undoing in git | |
| - Forking in git | |
| - Ending | |
| - url: https://www.youtube.com/watch?v=hdI2bqOjy3c | |
| source: manual | |
| titles: | |
| - Variables and Data Types | |
| - Functions and Scope | |
| - DOM Manipulation | |
| - Events | |
| - Arrays and Objects | |
| - url: https://www.youtube.com/watch?v=X48VuDVv0do | |
| source: youtube_api | |
| titles: | |
| - Course Overview | |
| - What is K8s | |
| - Main K8s Components | |
| - K8s Architecture | |
| - Minikube and kubectl - Local Setup | |
| - Main Kubectl Commands - K8s CLI | |
| - K8s YAML Configuration File | |
| - 'Demo Project: MongoDB and MongoExpress' | |
| - Organizing your components with K8s Namespaces | |
| - K8s Ingress explained | |
| - Helm - Package Manager | |
| - Persisting Data in K8s with Volumes | |
| - Deploying Stateful Apps with StatefulSet | |
| - K8s Services explained | |
| - url: https://www.youtube.com/watch?v=rfscVS0vtbw | |
| source: youtube_api | |
| titles: | |
| - Introduction | |
| - Installing Python & PyCharm | |
| - Setup & Hello World | |
| - Drawing a Shape | |
| - Variables & Data Types | |
| - Working With Strings | |
| - Working With Numbers | |
| - Getting Input From Users | |
| - Building a Basic Calculator | |
| - Mad Libs Game | |
| - Lists | |
| - List Functions | |
| - Tuples | |
| - Functions | |
| - Return Statement | |
| - If Statements | |
| - If Statements & Comparisons | |
| - Building a better Calculator | |
| - Dictionaries | |
| - While Loop | |
| - Building a Guessing Game | |
| - For Loops | |
| - Exponent Function | |
| - 2D Lists & Nested Loops | |
| - Building a Translator | |
| - Comments | |
| - Try / Except | |
| - Reading Files | |
| - Writing to Files | |
| - Modules & Pip | |
| - Classes & Objects | |
| - Building a Multiple Choice Quiz | |
| - Object Functions | |
| - Inheritance | |
| - Python Interpreter | |
| - url: https://www.youtube.com/watch?v=fBNz5xF-Kx4 | |
| source: manual | |
| titles: | |
| - Node.js Fundamentals | |
| - Modules and npm | |
| - Express Basics | |
| - Routing and Middleware | |
| - Building a REST API | |
| - url: https://www.youtube.com/watch?v=c36lUUr864M | |
| source: youtube_api | |
| titles: | |
| - Intro | |
| - 1 Installation | |
| - 2 Tensor Basics | |
| - 3 Autograd | |
| - 4 Backpropagation | |
| - 5 Gradient Descent | |
| - 6 Training Pipeline | |
| - 7 Linear Regression | |
| - 8 Logistic Regression | |
| - 9 Dataset and Dataloader | |
| - 10 Dataset Transforms | |
| - 11 Softmax and Crossentropy | |
| - 12 Activation Functions | |
| - 13 Feed Forward Net | |
| - 14 CNN | |
| - 15 Transfer Learning | |
| - 16 Tensorboard | |
| - 17 Save & Load Models | |
| - url: https://www.youtube.com/watch?v=HXV3zeQKqGY | |
| source: youtube_api | |
| titles: | |
| - Introduction | |
| - What is a Database? | |
| - Tables & Keys | |
| - SQL Basics | |
| - MySQL Windows Installation | |
| - MySQL Mac Installation | |
| - Creating Tables | |
| - Inserting Data | |
| - Constraints | |
| - Update & Delete | |
| - Basic Queries | |
| - Company Database Intro | |
| - Creating Company Database | |
| - More Basic Queries | |
| - Functions | |
| - Wildcards | |
| - Union | |
| - Joins | |
| - Nested Queries | |
| - On Delete | |
| - Triggers | |
| - ER Diagrams Intro | |
| - Designing an ER Diagram | |
| - Converting ER Diagrams to Schemas | |