Azure AI Engineer
For developers and architects building intelligent solutions with Azure AI Services and Azure OpenAI.
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AI-901: Microsoft Azure AI Fundamentals for Python Developers
Get hands-on with Microsoft Azure AI and Microsoft Foundry to prepare for the AI-901 certification exam. This foundational, AI-led course walks you through the two exam objectives: identifying AI concepts and capabilities (responsible AI, model components, AI workloads) and implementing AI solutions using Microsoft Foundry (generative AI apps & agents, text & speech, computer vision & image generation, and information extraction with Azure Content Understanding). Every topic is paired with a guided hands-on lab in the browser-based Python + AI VS Code environment. You will build chat clients, agents, text analysis apps, speech-enabled applications, vision/image-gen experiences, and a Content Understanding document pipeline all against a real Azure subscription before finishing with a capstone multimodal Foundry assistant.
AI-901: Microsoft Azure AI Fundamentals for Business Professionals
Get hands-on with Microsoft Azure AI and Microsoft Foundry to prepare for the AI-901 certification exam no coding required. This foundational, AI-led course walks you through the two exam objectives: identifying AI concepts and capabilities (responsible AI, model components, AI workloads) and implementing AI solutions using Microsoft Foundry (generative AI apps & agents, text & speech, computer vision & image generation, and information extraction with Azure Content Understanding). Every topic is paired with a guided hands-on lab you complete entirely in the Azure portal and Microsoft Foundry portal deploy models, chat in the playground, build agents, test speech and vision capabilities, and run a Content Understanding document pipeline against a real Azure subscription. Perfect for business analysts, consultants, product managers, and IT professionals who want to understand Microsoft's AI stack and earn the AI-901 certification without writing code.
AI-103: Developing AI Apps and Agents on Azure for Python Developers
Prepare for the AI-103 certification by designing, building, securing, and evaluating generative AI solutions on Microsoft Foundry. Across 14+ hands-on lessons, you will provision Foundry accounts and projects, implement keyless managed-identity auth, design responsible AI safeguards, wire up tool-calling chats via the OpenAI Responses API, build RAG pipelines with evaluation, orchestrate single and multi-agent systems using the Foundry Agent Service SDK and the Microsoft Agent Framework (including Agent-to-Agent federation), fine-tune your own models, process images and speech, build voice-live agents, and extract structured data with Azure AI Content Understanding for both documents and video. The course culminates in the Northwind Horizon capstone a unified FastAPI service that combines chat, RAG, agents, vision, speech, and extraction behind a single API surface.
AI-3026: Agent Development on Microsoft Foundry
Design, build, and orchestrate production-quality AI agents on Microsoft Foundry. You will build single agents with the Foundry Agent Service SDK (function tools, MCP tools, RAG grounding via Foundry IQ), then graduate to the Microsoft Agent Framework for multi-agent orchestration and the Agent-to-Agent (A2A) protocol. Every lesson is anchored in Halcyon Insurance, a mid-sized property + auto carrier building an agent platform to accelerate claim resolution you build the pipeline lesson by lesson (intake triage, policy lookup, damage assessment, adjuster brief). Prepares for AI-500 + APL-3032 + APL-3034.
AI-300: Operationalizing Machine Learning and Generative AI Solutions
Master the discipline of operating machine learning and generative AI in production. Learn how to build the infrastructure, delivery pipelines, evaluation practices, and observability that turn a working model or prompt into a reliable service your organization can depend on. Through hands-on labs across the full AI lifecycle you will design production-grade AI platforms on Azure, deploy models safely with progressive rollout, continuously evaluate quality and safety, monitor live traffic and cost, and optimize performance through retrieval-augmented generation tuning and fine-tuning. By the end you will be able to design, ship, and operate a complete MLOps and GenAIOps solution end-to-end. Prepares you for Microsoft's AI-300 certification exam.
AI-500: Designing and Implementing Multi-Agent AI Solutions
Design, build, evaluate, secure, and deploy production-ready multi-agent AI systems on Microsoft Foundry. Across 18 hands-on lessons anchored in the Ridgevault Financial wealth-management scenario, you will architect multi-agent workflows with clear personas and tool scopes, implement advanced prompt engineering and memory strategies, build MCP tool ecosystems, orchestrate agents with the Microsoft Agent Framework and LangGraph, add rigorous evaluations and observability, and ship your solution through DTAP with canary rollouts and full guardrails. By the end you will be able to take a multi-agent AI system from architecture through production release with confidence aligned to the AI-500 certification objectives.