AI-102: Microsoft Certified: Azure AI Engineer Test Series

About this course

This comprehensive course prepares you to design, implement, and deploy enterprise-grade AI solutions on Microsoft Azure. Whether you're a software developer building AI-powered applications, a data engineer operationalizing machine learning models, or a solutions architect implementing responsible AI frameworks, this course covers everything the AI-102 certification exam validates.

Course structure is based on focusing learning the concepts through multiple questions and explanations along with a focus of dumps which actually comes in the exam. The choice is with learners whether he/she wants to just get the certificate or to learn and grow with the course.

Aligned with the latest 2026 Microsoft Certified curriculum, you'll master Azure Foundry Services, generative AI with Azure OpenAI, computer vision, natural language processing, and agentic solutions—the exact domains tested in the exam.​What You'll Master1. Plan and Manage Azure AI Solutions (20–25% of exam)Learn to architect scalable AI solutions using Azure AI Foundry, select appropriate services for business requirements, manage costs, implement security and governance frameworks, and apply responsible AI principles to production workloads.​2. Implement Generative AI Solutions (15–20% of exam)Deploy large language models using Azure OpenAI, master prompt engineering techniques, implement Retrieval-Augmented Generation (RAG) patterns for grounded AI, fine-tune models, and monitor production performance with real-world use cases.​3. Implement Computer Vision Solutions (10–15% of exam)Build image analysis applications using Azure AI Vision, implement optical character recognition (OCR), detect objects in images, classify visual content, and create custom vision models for domain-specific requirements.​4.

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