Learn AI: Generative AI to Agentic AI
A structured, practical curriculum from foundational LLMs to fully autonomous Agentic systems.
How large language models work under the hood — transformers, attention, training, fine-tuning, and inference optimization.
The art and science of talking to models — from basics to advanced techniques and production prompt systems.
Retrieval-Augmented Generation — how to give LLMs access to your own knowledge and keep answers grounded.
Model Context Protocol — the emerging standard that lets AI models securely interact with tools, APIs, and data sources.
AI agents and frameworks — LangChain, LangGraph, CrewAI, and GCP ADK from simple to complex agent architectures.
Full agentic AI systems — architectural patterns, multi-agent coordination, evaluation, and production deployment.