| Hey Everyone, If you look at the AI education space right now, it’s flooded with basic "Prompt Engineering" certificates that you can pass just by knowing what a system prompt is. But as anyone building in production knows, chatting with an LLM is 1% of the work. The real nightmare is orchestration, state management, tool execution, and guardrails. To create a real benchmark for developers, we just launched the Agentic AI Practitioner Exam on agentswarms.fyi. And it is completely free. Why this isn’t a standard certification: You cannot guess your way through this. To get the certification, you have to pass two phases:
What the curriculum covers:
If you fail, there is a 15-day cooldown, and your next attempt will draw from a completely different set of questions. If you want to get another early attempt, you can contribute to the community by publishing your agents and swarms and get free re-attempts! If you think you know how to build autonomous agents, I challenge you to take the exam and try to pass on your first attempt. Let me know which section of the exam feels the hardest! Link to take the exam: https://agentswarms.fyi/certification [link] [comments] |
"Prompt Engineering" certs are a joke. So we built a FREE Agentic AI Practitioner Exam that actually forces you to build working swarms to pass.
Reddit r/artificial / 5/2/2026
📰 NewsDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical UsageIndustry & Market MovesModels & Research
Key Points
- The article criticizes existing “prompt engineering” certifications as superficial and focuses on the harder parts of building AI in production, such as orchestration, state management, tool execution, and guardrails.
- It announces a free “Agentic AI Practitioner Exam” at agentswarms.fyi that requires passing both a theory section and a hands-on environment-based evaluation.
- The exam’s theory phase uses 50 MCQs with an 80% pass threshold, covering topics like memory STM windowing, text-to-SQL AST validation, A2A handoffs, and production tracing/evals.
- The practical phase forces candidates to build and deploy 5 working agents and 2 multi-agent swarms from scratch (templates cause automatic failure), and includes coverage of agentic patterns, guardrails, multi-agent swarm architectures, and Responsible AI compliance.
- Candidates who fail face a 15-day cooldown and receive a different set of questions next time, with an incentive to contribute by publishing agents and swarms for free re-attempts.
💡 Insights using this article
This article is featured in our daily AI news digest — key takeaways and action items at a glance.




