Master Microsoft Foundry generative AI, agents, RAG, vision and responsible AI for the AI-103 exam
This course contains the use of artificial intelligence.
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
- Planning and Managing Azure AI Solutions –> 1 lecture • 21min.
- Monitoring, Securing, and Responsible AI Controls –> 1 lecture • 13min.
- Building Generative Applications with Foundry –> 1 lecture • 19min.
- Building Agents with Microsoft Foundry –> 1 lecture • 11min.
- Optimizing and Operationalizing Generative Solutions –> 1 lecture • 13min.
- Image and Video Generation Solutions –> 1 lecture • 13min.
- Multimodal Understanding and Video Analysis –> 1 lecture • 14min.
- Text Analysis and Speech Solutions –> 1 lecture • 16min.
- Retrieval and Information Extraction Pipelines –> 1 lecture • 17min.
- Full Exam Simulation and Test-Taking Strategy –> 1 lecture • 18min.
Requirements
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.