As a candidate for this exam, you’re an expert-level practitioner who has subject matter expertise in designing, building, and optimizing scalable, production‑ready, multi-agent AI systems and workflows. You manage the development from design to production.
You work closely with developers, machine learning engineers, platform engineers, data scientists, and business stakeholders to translate complex requirements into production-ready, multi-agent solutions.
For this exam, you should have experience developing AI and machine learning, deploying agentic systems in production environments, and orchestrating agent logic using Microsoft Foundry. You should also be proficient in Python.
Additionally, you need experience developing solutions that include Azure compute, network, storage, and data services. You should be familiar with open-source frameworks and standards, including Microsoft Agent Framework, Model Context Protocol (MCP), retrieval-augmented generation (RAG), and LangGraph.
Tip
- Review the AI-500 study guide to help you prepare for the exam.
- Demo the exam experience by visiting our exam sandbox.
- The Practice Assessment for this exam is not currently available. Practice Assessments are usually available within 8 weeks of the exam being out of beta and generally available.