Learn AI in the right order.

Follow structured paths from fundamentals to practical AI systems and architecture.

AI Fundamentals

Build the foundation: AI, machine learning, models, training, inference, parameters, and neural networks.

Generative AI

Foundation models, LLMs, transformers, tokens, prompting, and fine-tuning.

RAG & Retrieval

Embeddings, vector search, retrieval, reranking, and retrieval-augmented generation.

AI Agents

Tool calling, agent loops, planning, memory, orchestration, multi-agent systems, and MCP.

AI Engineering

LLM gateways, streaming, caching, evaluation, guardrails, and cost control.

AI Architecture

How real systems like RAG pipelines and AI gateways are designed end to end.

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