AI-102: Become An Azure AI Engineer In One Weekend [2025]

About this course

Covers the requirements of Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. Updated for the April 30, 2025 skills outline so you’re learning exactly what’s measured today.Continuously improved since launch with new quizzes, hands-on labs, and downloadable resources—so you can track progress and practice with realistic scenarios that mirror the exam’s style and scope.Built for the Azure AI Engineer role. As an Azure AI engineer, you’ll design, build, and ship solutions using Azure AI services across the full lifecycle—requirements, development, deployment, integration, performance tuning, and monitoring—often in partnership with architects, data scientists, and engineers.Prerequisites & target audience. You should be comfortable developing in C# or Python and able to work with REST APIs and SDKs to build secure solutions in computer vision, video, natural language processing, knowledge mining, and generative AI—with a working knowledge of Azure AI components, data storage options, and Responsible AI practices. What the exam measures (latest blueprint)Plan and manage an Azure AI solution (20–25%)Implement generative AI solutions (15–20%)Implement an agentic solution (5–10%)Implement computer vision solutions (10–15%)Implement natural language processing solutions (15–20%)Implement knowledge mining and information extraction solutions (15–20%) Why this courseAligned to the official skills outline and refreshed when Microsoft updates the exam.Hands-on first: build real Azure AI solutions—vision, language, search, bots, and gen-AI—so you’