Azure AI Engineer

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.

Ship a production-quality generative AI copilot on Microsoft Foundry and prep for the APL-3016 Applied Skills assessment. Over 11 lessons you'll rebuild the fictional Halcyon Insurance claims-adjuster copilot end-to-end Foundry account + project + connected resources, model deployment, Microsoft Agent Framework orchestration, RAG grounding against a policy-document library, custom content-safety filters, quality + risk-safety evaluation, and a full end-to-end capstone. Every artifact is grounded against the current Microsoft Foundry product (AIServices topology, Agent Framework replacing Prompt Flow, current model versions).

Prepare for the APL-3016 Applied Skills assessment by learning how to design, build, evaluate, and safely operate generative AI applications on Microsoft Foundry. You will explore the modernized Foundry portal, choose and deploy models from the catalog, build Python chat apps that authenticate with `DefaultAzureCredential`, ground answers with the Responses API's built-in file_search and web_search tools, fine-tune a base model, and apply custom content-safety guardrails to a production deployment. Every lesson is anchored in Margie's Travel a boutique travel agency whose sales agents need an AI assistant they can trust.

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.

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.

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.