Testing and Quality Assurance for AI Agents
Move from “it seems to work” to a repeatable quality decision. You define measurable quality, representative cases, blocking errors, human and automated graders, regression checks and a documented release decision.
After the course you can:
- ✓Build a test suite with representative cases
- ✓Measure quality in a comparable way
- ✓Set limits for when a human must review
USD 79 incl. applicable taxes
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12 months of access · updates included
Buy the course – USD 79Try it free first – 18 min, no account- Payment via Stripe
- 12 months of access
- Certificate with verification link
- Swedish company, reg. no. 559599-6850
The course has nine parts. You decide what quality means for the task, risk-classify failures, build a representative reference dataset covering normal, edge, missing, conflicting and untrusted cases, and write a rubric with six criteria.
You combine deterministic checks with human review, test difficult cases and stopping behavior, compare versions to find regressions, and run a test lab with five cases plus a separate go/no-go decision. The final quiz has eight questions; answer at least seven correctly to earn your certificate of completion.
What you will build
AI agent
You will learn to: Test, measure, and assure the quality of an AI agent before it goes live
What you will be able to do
- ✓Build a test suite with representative cases
- ✓Measure quality in a comparable way
- ✓Set limits for when a human must review
- ✓Track quality over time
- ✓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
- 1Quality is something you define
- 2Classify failures by risk and scope the tests
- 3Build a representative reference dataset
- 4Write a rubric
- 5Combine automatic and human graders
- 6Test hard cases and stopping behavior
- 7Regression and version comparison
- 8Run the test lab and decide
- 9Final assignment and quiz
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
- Agentic AI and multi-agent systems
Background on autonomous steps, risks and human oversight.
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
- Last checked:
- September 19, 2026
- Next scheduled review:
- December 19, 2026