Generative AI to Agentic AI

Master the Full Modern GenAI Stack

A structured, practical curriculum from foundational LLMs to fully autonomous Agentic systems - built by an engineer who shipped this stuff in production, not just read about it.

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131 Deep-dive notes|19 Modules|657 Review Q&A|Free Always

131 deep-dive notes

Zero fluff, dual-audience (business and technical) explanations for every concept.

657 review questions

Interview-grade Q&A banks for every module, plus graded quizzes built from each page's checks.

18 hands-on code labs

PyTorch, QLoRA, vLLM, Helm, Terraform, GPU profiling, red-teaming, and agents in LangChain, LangGraph, CrewAI and Google ADK.

Real benchmarks

Base-vs-tuned comparisons and load tests with actual numbers, not just theory.

Your Path

Foundations

LLM Foundations, Prog Langs, Math for ML

Building Models

Pretraining at Scale, Post-Training & Reasoning, Fine-Tuning Lab, Evaluation & Benchmarks

Serving & Production

Inference & Serving, Production Engineering, Cloud Platforms

Building Apps

Prompt & Context Engineering, RAG

Agents

Agent Foundations, MCP & A2A, Agent Patterns & Multi-Agent, Agent Frameworks, Production Agents, Agent Engineering

Field Engineering

Solutions Architecture & Communication

Curriculum

19 modules in 6 tracks, start to finish

Hover (or tap) a module to preview it - the topic list slides in on the right.

Learning Paths

Conceptual

New to GenAI - start with LLM Foundations, then Prompt & Context Engineering, RAG and Agent Foundations.

Interview Prep

Accelerated review through each module's Q&A bank and its graded quiz.

Hands-On

Code labs from a raw PyTorch training loop to QLoRA fine-tuning, vLLM serving and multi-framework agents.

Full Sequence

Every module in order, from how an LLM works to building and operating production agents - the recommended path.

Ready to go from GenAI to Agentic AI?

100% free, always up to date, built from production experience - not a rehash of documentation.

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