AI vs ML vs Deep Learning vs GenAI

How Neural Networks Actually Learn

Statistics Foundations: GLM, Bayesian, Trees & Response Curves

Transformers & Attention Explained

Tokenization, Embeddings & Context Windows

How LLMs Are Trained: Pretrain → SFT → RLHF

Prompt Engineering Mastery

GenAI Beyond Text: Diffusion, Multimodal & Audio

LLM Limitations, Hallucination & Evaluation

RAG Architecture Deep Dive

Chunking, Embeddings & Vector Databases

Advanced RAG, Reranking & Evaluation

What Is An AI Agent?

Agent Reasoning Patterns: ReAct, Plan-Execute, Reflection

Designing An Agent Flow Chart (Detailed Walkthrough)

Tools, Function Calling & Memory

Multi-Agent Systems & Popular Frameworks

AGI: Definitions, Debate & Timelines

AI Safety, Alignment & Responsible AI

Real-World Use Cases & Solutions Playbook

Capstone: Build Your Own AI Agent In Python