A step-by-step guide to go from complete beginner to AI practitioner. Click on any stage to explore the topics.
Build your mathematical foundation for AI.
Python basics, data structures, libraries.
Learn core ML concepts from scratch.
Neural networks, training and optimization.
Text processing and language understanding.
Attention, architecture and beyond.
LLMs, RAG, tools and AI agents.
Retrieval augmented generation.
Tools, memory, and autonomous agents.
