AI team lead

Lead a team that builds AI: judge designs, quality, risk and cost.

This is you

You lead engineers or data scientists, or you will soon. You may be an engineering manager, a tech lead, or a senior engineer who is stepping up. Your team is starting to build AI features, and you must make good decisions about them.

Where you are going

A confident leader of an AI team

Talk with your team about models, data and evaluation in their own terms
Know from the evidence when an AI feature is ready
Find the security, privacy and cost risks before launch
Plan, hire for and run the AI work of your team

3 stages
13 courses, 13 available now
About 70–95 hours of study
2 certificates of completion + 10 concepts certificates

How much code you need

No code
Read code
Some code
Code is central

You do not need to write code on this path. The lessons show code, and it helps if you can read it, because you will review designs and results. Where a course has notebooks, you can read them instead of running them.

Your route, stage by stage

Each stop is a course. Its shape tells you how much of it to take.

Full course. The whole course, with its practice. It leads to a certificate of completion.
Concepts. Only the concept modules, read without running code. They lead to a concepts certificate.
Optional. Useful for some people. You do not need it, and it is not counted in the time.

You, today
Stage 1 Understand the workabout 15–21 h
1. AI Career Foundations: Roles, Skills and Roadmaps
  Full course4–6 h
  Know the roles of an AI team and what each one does.
2. LLMs: How They Work and How to Choose One
  Concepts4–6 h
  How LLMs work, and how your team should choose one.
  Focus: Modules 1–4. Read the code and the notebooks; you do not need to run them.
3. Machine Learning: From Problem to Reliable Model
  Concepts6–7 h
  How machine learning projects succeed, and how they fail.
  Focus: Modules 1–3. Read the code and the notebooks; you do not need to run them.
4. Git and Team Development Essentials
  Concepts1–2 h
  How your team shares and reviews its work.
  Focus: Modules 1 and 3. Read the code and the notebooks; you do not need to run them.
Stage 2 Judge quality and riskabout 29–39 h
1. Evaluating and Testing AI Systems
  Concepts10–13 h
  How you and your team know that a feature is good enough.
  Focus: Modules 1–5. Read the code and the notebooks; you do not need to run them.
2. RAG: Building AI That Uses Your Data
  Concepts10–13 h
  The most common AI feature: answers from your own documents.
  Focus: Modules 1 and 4–6. Read the code and the notebooks; you do not need to run them.
3. AI Security, Privacy and Responsible Design
  Concepts7–10 h
  The risks that you are responsible for.
  Focus: Modules 1, 2, 4 and 5. Read the code and the notebooks; you do not need to run them.
4. AI-Assisted Software Development
  Concepts2–3 h
  Set a good policy for AI-assisted coding in your team.
  Focus: Modules 2 and 3. Read the code and the notebooks; you do not need to run them.
5. AI Agents and Workflow Orchestration
  Optional22–30 h
  When your team wants to build agents.
Stage 3 Ship and leadabout 26–35 h
1. CI/CD, Testing and Safe Releases
  Concepts2–3 h
  How changes reach users safely.
  Focus: Modules 1 and 5. Read the code and the notebooks; you do not need to run them.
2. MLOps and LLMOps: Operating AI in Production
  Concepts5–7 h
  Keep AI systems healthy after launch.
  Focus: Modules 1, 4 and 6. Read the code and the notebooks; you do not need to run them.
3. AI System Design and Cost Engineering
  Concepts7–9 h
  The design and cost decisions that you approve.
  Focus: Modules 1–3 and 6. Read the code and the notebooks; you do not need to run them.
4. Leading AI Products and Teams
  Full course12–16 h
  The core of this path: plan, hire for and run AI work.
You arriveA confident leader of an AI team

Earn certificates as you go

You do not need to finish the whole path to show what you learned. Each full course gives a certificate of completion, and each concepts course gives a concepts certificate. Share each one when you get it.

Make it my path All learning paths

Choose this goal in your profile. My learning then shows your progress on this route, and the weeks it takes at your pace.