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<title>Data Science & AI Masterclass | Aashish Garg</title>
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</head>
<body>
<div class="container">
<header>
<h1>Data Science & AI Masterclass</h1>
<p class="subtitle">Comprehensive curriculum from Fundamentals to GenAI & Agentic AI</p>
</header>
<div class="grid">
<!-- Deep Learning -->
<a href="DeepLearning/index.html" class="card dl-card">
<div>
<span class="badge">π₯ Flagship Course</span>
<h2>Deep Learning Masterclass</h2>
<p>Complete Zero to Hero journey. CNNs, RNNs, LSTMs, Transformers, GANs, and Diffusion Models.
Featuring rigorous "Paper & Pain" math and interactive visualizations.</p>
</div>
<div class="card-footer">
<span style="color: var(--accent-dl)">Explore Curriculum</span>
<span class="arrow">β</span>
</div>
</a>
<!-- DL In-Depth Tutorial -->
<a href="DL/DeepLearning.html" class="card dl2-card">
<div>
<span class="badge">π§ Deep Dive</span>
<h2>Deep Learning β In-Depth Tutorial</h2>
<p>Comprehensive single-page deep learning reference. Detailed theory, math derivations, and hands-on code for every major topic.</p>
</div>
<div class="card-footer">
<span style="color: #ff9a5c">Read Tutorial</span>
<span class="arrow">β</span>
</div>
</a>
<!-- GenAI & Agentic AI -->
<a href="AI-Engineer/index.html" class="card genai-card">
<div class="badge" style="background: var(--accent-math); color: #fff;">New</div>
<h2>π€ AI Engineer Masterclass</h2>
<p>Decoding, RAG, Agents, Multi-Agent Systems, and Production Patterns. 2025 AI Engineering Edition.</p>
<div class="view-btn">Launch Course</div>
</a>
<!-- CME 295 Transformers & LLMs -->
<a href="Transformer-Deep-Dive/index.html" class="card genai-card">
<div>
<span class="badge" style="background: rgba(163, 113, 247, 0.15); color: #a371f7;">π Stanford</span>
<h2>Transformers & LLMs</h2>
<p>A comprehensive, simple, and understandable guide based on Stanford's CME 295. Master architectures, MoE, SFT, DPO, Reasoning Models, and AI Agents.</p>
</div>
<div class="card-footer">
<span style="color: #a371f7">Master LLMs</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Python Masterclass -->
<a href="Python/index.html" class="card python-card">
<div>
<span class="badge">π Core Language</span>
<h2>Python Masterclass</h2>
<p>From essential syntax to advanced production engineering. Master OOP, decorators, asynchronous programming, NumPy, and performance optimization.</p>
</div>
<div class="card-footer">
<span style="color: #f9d346">Learn Python</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Azure DevOps & MLOps -->
<a href="AzureDevops/index.html" class="card devops-card">
<div>
<span class="badge">βοΈ Infrastructure</span>
<h2>Azure DevOps & MLOps</h2>
<p>CI/CD pipelines, Docker, Kubernetes, Security, and MLOps on Azure. From Zero to Production with YAML pipelines and IaC.</p>
</div>
<div class="card-footer">
<span style="color: #0078d4">Master DevOps</span>
<span class="arrow">β</span>
</div>
</a>
<a href="ml_complete-all-topics/index.html" class="card ml-card">
<div>
<span class="badge">Core</span>
<h2>Machine Learning Complete</h2>
<p>The foundation. Regression, Classification, Clustering, SVMs, Decision Trees, and Ensembles.
Master Scikit-Learn.</p>
</div>
<div class="card-footer">
<span style="color: var(--accent-ml)">Start Learning</span>
<span class="arrow">β</span>
</div>
</a>
<!-- ML Lab / Projects -->
<a href="ML/index.html" class="card ml-card">
<div>
<span class="badge">Lab</span>
<h2>ML Experiments & Data</h2>
<p>Hands-on laboratory for datasets, experimental scripts, and practical ML applications.</p>
</div>
<div class="card-footer">
<span style="color: var(--accent-ml)">Enter Lab</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Math -->
<a href="math-ds-complete/index.html" class="card math-card">
<div>
<span class="badge">Foundation</span>
<h2>Mathematics for AI</h2>
<p>Calculus, Linear Algebra, and Probability. The engine room of AI. Derivatives, Matrix Operations,
and Eigenvalues.</p>
</div>
<div class="card-footer">
<span style="color: var(--accent-math)">Study Math</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Statistics -->
<a href="complete-statistics/index.html" class="card stats-card">
<div>
<span class="badge">Foundation</span>
<h2>Statistics Complete</h2>
<p>Descriptive and Inferential Statistics. Hypothesis testing, Distributions, P-values, and Bayesian
concepts.</p>
</div>
<div class="card-footer">
<span style="color: var(--accent-stats)">Analyze Data</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Feature Engineering -->
<a href="feature-engineering/index.html" class="card viz-card">
<div>
<span class="badge">Skill</span>
<h2>Feature Engineering</h2>
<p>Data cleaning, transformation, scaling, encoding, and selection. The art of preparing data for
models.</p>
</div>
<div class="card-footer">
<span style="color: #ffce56">Master Data</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Visualization -->
<a href="Visualization/index.html" class="card viz-card">
<div>
<span class="badge">Skill</span>
<h2>Data Visualization</h2>
<p>Matplotlib, Seaborn, Plotly. Communicating insights effectively through beautiful charts and
dashboards.</p>
</div>
<div class="card-footer">
<span style="color: #ffce56">Visualize</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Prompt Engineering -->
<a href="prompt-engineering-guide/index.html" class="card prompt-card">
<div>
<span class="badge">New</span>
<h2>Prompt Engineering</h2>
<p>Mastering LLMs. Zero-shot, Few-shot, Chain-of-Thought, and advanced prompting strategies for
GPT-4/Claude.</p>
</div>
<div class="card-footer">
<span style="color: #f771b6">Learn Prompting</span>
<span class="arrow">β</span>
</div>
</a>
<!-- Claude Prompt Engineering Course -->
<a href="Claude%20Prompt%20Engineering%20Course/index.html" class="card prompt-card">
<div>
<span class="badge">New</span>
<h2>Claude Prompt Engineering</h2>
<p>In-depth specialized course for Anthropic's Claude. Learn system prompts, complex tool use, chaining, and advanced safety techniques.</p>
</div>
<div class="card-footer">
<span style="color: #f771b6">Master Claude</span>
<span class="arrow">β</span>
</div>
</a>
</div>
</div>
</body>
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