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 Azure. Across 14 hands-on lessons, you will provision Foundry hubs and projects, implement keyless managed-identity auth, design responsible AI safeguards, wire up tool-calling chats, build RAG pipelines with evaluation, orchestrate single and multi-agent systems with the Azure AI Agents Service, process images and speech, and extract structured data with Azure AI Content Understanding. 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.
Building AI-Powered Applications with Python on Azure Coming Soon
Build production-grade AI applications using Azure OpenAI and Azure AI services. This course covers chat completions, structured outputs with Pydantic, function calling, text embeddings, vector search with Azure AI Search, RAG pipelines with source citations, AI agents with tool use, and production patterns including evaluation, cost control, and streaming. The capstone builds a complete AI-powered document assistant deployed on Azure. Requires Azure SDK experience and FastAPI knowledge. Course 9 of 10 in the Python Learning Path.
OpenHack: Building an AI Legal Assistant with Azure OpenAI & AI Search Coming Soon
Take on the role of an engineering team hired by Meridian & Associates LLP, a mid-size law firm with over 200 attorneys, to build "MeridianAI" an internal AI-powered legal research assistant using Azure OpenAI and Azure AI Search. This OpenHack-style challenge course puts you in a realistic scenario where you must design, build, and harden a production-ready RAG (Retrieval-Augmented Generation) system.The firm's attorneys spend an average of 3 hours per day searching through case summaries, contract templates, regulatory guidance memos, and client engagement letters. Your mission is to build an AI assistant that answers attorney questions grounded exclusively in the firm's document library where hallucinations are unacceptable, every answer must be traceable to a source document, and the system must comply with strict data security policies for sensitive client information.This is not a tutorial. You will make real architectural decisions, provision Azure infrastructure, build a document ingestion and retrieval pipeline with Azure AI Search, integrate Azure OpenAI for intelligent responses, implement grounding and citation strategies to prevent hallucinations, and secure the system for production use. You'll debug real problems and deliver a working system that meets enterprise requirements.Designed for cloud engineers, AI engineers, and developers with basic Azure experience who want hands-on experience building RAG-based AI applications. This challenge-based format emphasizes problem-solving and engineering judgment over step-by-step instructions.