Hands-on, lab-driven courses for the Microsoft AI-901 and AI-103 certifications. Choose your path, launch a real cloud lab, and prove your skills.
Looking for exam tips? Read our AI certification blog for expert study guides.
Foundational, no-code introduction to Azure AI services. Successor to AI-900. Hands-on labs in Microsoft Foundry, Azure AI Language, Vision, and Responsible AI.
Aspiring AI practitioners and business stakeholders evaluating Azure AI
View plansBuild, deploy, and orchestrate AI agents and generative AI applications using Azure AI Foundry, prompt engineering, and RAG patterns. The successor to AI-102.
AI engineers transitioning from AI-102 or building agentic AI apps
View plansEvery lab is a real enterprise task. See exactly what you will build before you buy.
AI engineers transitioning from AI-102 or building agentic AI apps
Deploy a GPT model in Microsoft Foundry and make your first successful call to it from a real Azure environment.
Navigate every Foundry surface, create a project, and deploy gpt-5-mini, so you know where each capability lives before you build.
Deploy three models side by side and choose between them with evidence, using the Model Leaderboard, the comparison playground, and an LLM as judge script.
Call models with the Azure OpenAI Responses API, keep conversation memory across turns, and stream replies so a chat app feels responsive.
Turn a raw model into a reusable Foundry agent with instructions and tools, and ground its answers in real data instead of guesses.
Apply Azure AI Language to real guest feedback: sentiment, key phrases, named entities, PII detection, and summarisation.
Attack your own assistant with jailbreaks, prompt injection, and data leakage attempts, then close the gaps with a custom content filter and blocklist.
Connect an agent to a live Model Context Protocol server so it can take real actions against external systems, not just talk about them.
Build a knowledge base from internal documents with Foundry IQ and attach it to an agent so answers are grounded in company sources.
Run a production style evaluation with Foundry Evaluations: synthetic datasets, judge models, and the core quality and safety evaluators.
Design a team of specialist agents in the Workflows canvas and wire them into sequential and group chat patterns, then read the routing in traces.
Use model vision to turn photographs into structured inspection reports and accessibility alt text, and learn where a visual answer stops being reliable.
Generate images with gpt-image-2, edit what you generated rather than starting over, and turn a still into a short video with Sora 2.
Use Content Understanding to turn an invoice PDF and a contract into structured fields you can check against each other.
More labs are rolling out and are added to your account automatically at no extra cost.
Aspiring AI practitioners and business stakeholders evaluating Azure AI
More labs are rolling out and are added to your account automatically at no extra cost.
