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AI-103: Azure AI Apps & Agents Developer Certification
Rating: 2.1 out of 5(2 ratings)
11 students

AI-103: Azure AI Apps & Agents Developer Certification

Master Microsoft Foundry generative AI, agents, RAG, vision and responsible AI for the AI-103 exam
Created byAseem Mankotia
Last updated 7/2026
English

What you'll learn

  • Pass the Microsoft AI-103: Azure AI Apps and Agents Developer Associate exam on your first attempt
  • Build generative applications and autonomous agents with Microsoft Foundry, including RAG and grounding
  • Implement computer vision, image and video generation, and multimodal understanding on Azure AI
  • Build text analysis, speech, retrieval and information-extraction pipelines with responsible AI controls

Course content

10 sections • 10 lectures • 2h 36m total length
  • Planning and Managing Azure AI Solutions21:19

Requirements

  • Working knowledge of Azure and general programming; familiarity with REST APIs and Python or C# is helpful but not required

Description

This course contains the use of artificial intelligence.

Prepare for the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) exam. This course is built end to end around Microsoft Foundry and the modern Azure AI developer stack, and it is aligned to every AI-103 exam domain at its official weight.

Exam facts, covered precisely: AI-103 is approximately 40 to 60 questions in 100 minutes, passing score 700 out of 1000, delivered online-proctored or at a test center, with question types including multiple choice, multiple select, and drag-and-drop. The course maps directly to all five exam domains: Plan and manage an Azure AI solution (25-30%), Implement generative AI and agentic solutions (30-35%), Implement computer vision solutions (10-15%), Implement text analysis solutions (10-15%), and Implement information extraction solutions (10-15%).

What you will build and master:

  • Planning, provisioning, securing, monitoring, and applying responsible AI controls to Azure AI solutions
  • Generative applications and autonomous agents with Microsoft Foundry, including RAG and grounding
  • Optimizing and operationalizing generative solutions for production
  • Image and video generation, multimodal understanding, and video analysis
  • Text analysis, speech, retrieval, and information-extraction pipelines
  • A full exam-simulation chapter with a 100-minute time-management strategy for the 700/1000 pass bar

Designed for developers and AI engineers building on Azure who want the current, agent-focused Microsoft AI credential that replaced the older AI-102 track.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official AI-103 exam guide.

Who this course is for:

  • Developers and AI engineers building on Azure who want the current, agent-focused Microsoft AI credential that replaced AI-102