Certification
Certification in Architecting AI Agent Systems with Design Patterns
Get certified in AI Agent Design Patterns and show employers you know exactly which pattern fits which problem,cutting costs, improving reliability, and building production-ready agent workflows from scratch.
The exam
Take the certification exam
Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.
What the exam covers
2 questions from each of the 9 chapters of the course
18 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.
- 01Why patterns matter2:00
- 02Tools and actions4:28
- 03Reasoning and reflection5:07
- 04Retrieval6:03
- 05Memory3:54
- 06Sampling and search5:22
- 07Multi-agent4:28
- 08Safety and guardrails2:18
- 09Specialty patterns and choosing2:10
The "AI Agent Design Patterns: I Tested All 35 So You Don't Have To" video course is a practical, no-nonsense walkthrough of the agent patterns that actually hold up in real-world projects. By the end, you'll have a sharper competitive advantage, improved decision-making skills, and the kind of forward-looking expertise that keeps your career future-proof no matter how the industry shifts. If you're tired of trial-and-error and want to build cheaper, more reliable agents right away, this course hands you the answer key.
This certification covers the following topics:
- What really makes a workflow agentic
- Tools and actions: giving your agent hands
- Reasoning and reflection techniques
- Retrieval-Augmented Generation (RAG) done right
- Memory architectures for context and personalization
- Sampling and search strategies that work
- Multi-agent systems and delegation
- Safety, guardrails, and reliability
- Specialty patterns for edge use cases
- How to select the right pattern for your workflow
- Key insights from testing all 35 patterns
- Practical applications across different domains
Jobs this certification suits
Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.