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Scrum Master / Agile → AI-ready Agile Coach

Learn how AI works, then help your teams adopt AI with experiments, clear working agreements and continuous learning.

For: Scrum Masters and agile coaches. 21 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: Agile Teams and Scrum Masters

Help teams adopt AI well, with experiments and good working agreements.

  1. 35Agile for AI workComing soon
  2. 36Using AI in team ceremoniesComing soon

Step 4

Track: AI Technical Project & Delivery Manager

Plan, run and deliver AI projects that actually reach production.

  1. 28The AI project lifecycleComing soon
  2. 29Estimating and planning AI workComing soon
  3. 30Managing AI risk and responsible AIComing soon
  4. 31Measuring value and ROIComing soon

Step 5

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

Other learning paths

💻 Developer🧪 Tester / QA📋 Business Analyst / PO🏗️ Tech Lead / Architect📈 Project / Delivery Manager