A practical AI learning roadmap: 8 video courses, 11 GitHub repos, guides and books
hey_abusiddik · x · 2026-10-21
A curated AI learning roadmap bundles videos, GitHub repos, guides, and books into one practical track:
- Videos: LLM intro, LLMs from Scratch, Stanford's Agentic AI Overview, Building & Evaluating Agents, Building Agents with MCP, building an agent from scratch, and more
- GitHub repos: GenAI Agents, Microsoft AI Agents for Beginners, Prompt Engineering Guide, Hands-On Large Language Models, Made with ML, Chip Huyen's Designing Machine Learning Systems, and an LLM Course
- Guides: Google's Agent whitepaper and companion, Anthropic's Building Effective Agents, Claude Code best practices, OpenAI's practical guide to building agents
- Books: Understanding Deep Learning, Build a Large Language Model (from Scratch), The LLM Engineering Handbook, AI Agents: The Definitive Guide
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