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What is the best AI product management course?

Short answer from Learnetto's Best AI product management courses guide.

Short answer

Duke's AI Product Management Specialization is a strong structured route. Combine it with operator-led material from Peter Yang, Lenny Rachitsky, and eval resources for practical product judgement.

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.

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Useful resources

  1. AI Product Management Specialization

    Specialization · Duke University · Beginner to intermediate

    You want a structured product-management route for scoping, evaluating, and shipping AI products.

  2. Generative AI for Everyone

    Course · DeepLearning.AI · Beginner

    You want a non-technical foundation for deciding where generative AI fits in a team or business.

  3. AI SDK v6 Crash Course

    Workshop · Matt Pocock · 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

    Free tutorial · Matt Pocock · 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

    Guide · Hamel Husain · Intermediate

    Your AI app needs quality checks before users see it.

  6. Evaluating AI Agents

    Short course · DeepLearning.AI · Intermediate

    You need to test, trace, and improve agent workflows instead of judging only single LLM responses.

  7. Building and Evaluating Advanced RAG Applications

    Short course · DeepLearning.AI · Intermediate

    You already know basic RAG and need better retrieval, evaluation, and production-quality patterns.

  8. OpenAI Secure MCP Tunnel

    Guide · OpenAI · 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.

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