# How should product managers learn AI?

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Full guide Markdown: https://learnetto.com/ai-guides/best-ai-product-management-courses.md
Last updated: 2026-06-23
Source: Learnetto AI learning directory

## Short answer
PMs should learn AI literacy, use-case selection, workflow design, evaluation, UX risk, and enough technical vocabulary to ask engineering good questions. Tool lists are not enough.

## Context from the full guide
Use Duke's AI Product Management Specialization for a structured path, Peter Yang and Lenny Rachitsky for operator examples, and eval resources when product quality has to be measured rather than guessed.

## Useful resources
1. [AI Product Management Specialization](https://www.coursera.org/specializations/ai-product-management-duke) - Specialization by Duke University; level: Beginner to intermediate. You want a structured product-management route for scoping, evaluating, and shipping AI products.
2. [Generative AI for Everyone](https://www.deeplearning.ai/courses/generative-ai-for-everyone/) - Course by DeepLearning.AI; level: Beginner. You want a non-technical foundation for deciding where generative AI fits in a team or business.
3. [AI SDK v6 Crash Course](https://www.aihero.dev/workshops/ai-sdk-v6-crash-course) - Workshop by Matt Pocock; level: Intermediate. You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.
4. [The AI Engineer Roadmap](https://www.aihero.dev/ai-engineer-roadmap) - Free tutorial by Matt Pocock; level: Beginner to intermediate. You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.
5. [LLM Evals](https://hamel.dev/blog/posts/evals/) - Guide by Hamel Husain; level: Intermediate. Your AI app needs quality checks before users see it.
6. [Evaluating AI Agents](https://www.deeplearning.ai/short-courses/evaluating-ai-agents/) - Short course by DeepLearning.AI; level: Intermediate. You need to test, trace, and improve agent workflows instead of judging only single LLM responses.
7. [Building and Evaluating Advanced RAG Applications](https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag/) - Short course by DeepLearning.AI; level: Intermediate. You already know basic RAG and need better retrieval, evaluation, and production-quality patterns.
8. [OpenAI Secure MCP Tunnel](https://developers.openai.com/api/docs/guides/secure-mcp-tunnels) - Guide by OpenAI; level: Intermediate to advanced. You need to expose a private MCP server to OpenAI products without opening inbound firewall ports or publishing the server on the public internet.

## Related questions
- [What is the best AI product management course?](https://learnetto.com/ai-questions/what-is-the-best-ai-product-management-course-best-ai-product-management-courses)
- [Which AI course helps PMs ship useful AI features?](https://learnetto.com/ai-questions/which-ai-course-helps-pms-ship-useful-ai-features-best-ai-product-management-courses)

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