AI Agents for Teams – Build a Shared and Structured Way of Working
Eight modules with lessons, exercises and five fictional AI responses to review. Your team defines shared terms, chooses a first task, builds a role map, approves sources, writes five ground rules and plans a 30-day pilot where every perspective fits. A completed example shows the format but is never saved as your answer. You do not build a working agent. Work alone as preparation, or get the most value by discussing the material together as a team. Allow 115–135 minutes. Score at least seven out of eight to earn the certificate.
After the course you can:
- ✓Create a shared language about agents
- ✓Choose a task that works across roles
- ✓Decide what humans and AI each do
USD 39 incl. applicable taxes
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12 months of access · updates included
Buy the course – USD 39Try it free first – 18 min, no account- Payment via Stripe
- 12 months of access
- Certificate with verification link
- Swedish company, reg. no. 559599-6850
What you will build
AI assistant
You will learn to: Create a shared AI assistant with common rules for the team
What you will be able to do
- ✓Create a shared language about agents
- ✓Choose a task that works across roles
- ✓Decide what humans and AI each do
- ✓Agree on ground rules for safe use
- ✓Plan and evaluate a shared pilot
- ✓A personal course certificate once you have completed all parts and passed the knowledge test – with its own verification link, easy to share on LinkedIn or add to your profile.
Course content
- 1Start and goals
- 2Shared vocabulary
- 3Choose a team task
- 4Map the roles
- 5Shared knowledge
- 6Team rules
- 7Test together
- 8Team pilot
- 9Quiz and 30-day plan
The courses are created by Michael Hammarstedt, founder of AI-agentutbildning. I'm not a programmer by background – I started with vibe coding myself. That's why the courses explain everything step by step, with no prior knowledge needed.
More about us →Read on and compare
- Shared AI agents for teams
The follow-up course: you build and test your own solution and leave with ready-to-use material. Prerequisite: basic familiarity with AI chat tools.
Source-checked content
The course is reviewed against official documentation and established standards. The organizations below are examples of sources whose material the content builds on.
- OpenAI
- Anthropic
- NIST
- OWASP GenAI Security Project
- Swedish Authority for Privacy Protection (IMY)
- Last checked:
- September 19, 2026
- Next scheduled review:
- December 19, 2026