Harvard, Andrew Ng and Karpathy Teach AI Engineering Free: A 9-Step Learning Path
mdancho84 · x · 2026-09-23
Data scientist mdancho84 shared a free AI engineering learning roadmap where order matters as much as the resources:
- Start with Python via Harvard's CS50P.
- AI-focused Python with Andrew Ng's free 4-part "AI Python for Beginners".
- LLM fundamentals through 3Blue1Brown's visual explainers on transformers and attention.
- Build a small model yourself with Karpathy's "Zero to Hero" series, neuron by neuron.
- Learn how agents work from Anthropic's "Building Effective Agents" — use composable patterns, not heavy frameworks.
- Hands-on agents via the CrewAI short course.
- Connect to the real world with MCP, wiring models to tools, APIs, and databases.
- Build real projects using the open-source ai-engineering-hub repo with dozens of LLM/RAG/agent examples.
- Read one book: Chip Huyen's "AI Engineering".
Bonus tips: don't pigeonhole yourself to one framework, and master fundamentals once — everything on top gets easier.
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