The program, module by module

1. Module 1 — Beyond the single agent

   Recognize the three signals showing a single agent has hit its limit and a multi-agent architecture is justified.

2. Module 2 — Specialized roles: planner, executor, verifier

   Split a complex task across three specialized roles — planner, executor, verifier — rather than one generalist agent.

3. Module 3 — Inter-agent communication and context sharing

   Structure inter-agent messages in a fixed format and give each agent only the context it strictly needs for its task.

4. Module 4 — Long-term memory and shared knowledge bases

   Set up a shared knowledge base so agents retain useful information across tasks instead of starting from scratch each time.

5. Module 5 — Managing cascading failures

   Validate data at agent boundaries and add a controlled stop to keep one isolated error from cascading through the system.

6. Module 6 — Cost and latency: practical trade-offs

   Calculate the real cost and latency of a multi-agent system — model calls, sequential vs. parallel execution — before deploying it.

7. Module 7 — Human oversight in a multi-agent system

   Place human validation checkpoints based on each decision's reversibility and impact, instead of automating or validating everything.

8. Module 8 — Hands-on case: an end-to-end multi-agent system

   Assemble the seven architecture decisions from this course into one end-to-end business process, from incoming request to final response.

9. Module 9 — Professional Integration and Certification

   Certification

   Cross-cutting module: CV/portfolio, professional brand, interview practice, and job market activation — specific to this course's real career outcomes. Triggers generation of the final certificate.

How certification works

Three levels, from simplest to most demanding. Each one only claims what it actually verifies.

The distinction is added to your certificate of achievement — it never replaces it: nothing off-platform ever blocks the certificate itself.