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Business Analyst / PO → AI Business Analyst / Product Owner

Learn how AI works, then find the right AI opportunities and write requirements that make AI features succeed.

For: Business analysts, product owners and product managers. 18 lessons in this path.

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Start lesson 1: What AI really is (and what it isn't) →

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Step 1

Foundations

How AI works, why it fails, how to ask it well and how to use it safely.

  1. 1What AI really is (and what it isn't)
  2. 2How machines learn: data, training and models
  3. 3How large language models work
  4. 4Why AI gets things wrong: hallucinations, bias and limits
  5. 5Prompting fundamentals: getting useful answers
  6. 6Using AI safely at work

Step 2

Practitioner

The building blocks behind real AI products, explained without code.

  1. 7Advanced prompting and structured output
  2. 8Embeddings and semantic search
  3. 9Retrieval-augmented generation (RAG)
  4. 10Tool calling and AI agents
  5. 11Evaluating AI quality
  6. 12Cost, speed and scale
  7. 13AI across the software lifecycle

Step 3

Track: AI Business Analyst & Product Owner

Find the right AI opportunities and specify them clearly.

  1. 32Finding good AI use casesComing soon
  2. 33Requirements and acceptance criteria for AIComing soon
  3. 34Data requirements and readinessComing soon

Step 4

Capstone and career

Put it all together, build proof of your skills and plan your next role.

  1. 37Capstone projects by roleComing soon
  2. 38Your AI career planComing soon

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