AI-103 28/40: Image Generation and Editing | Developing AI Apps and Agents on Azure

Image Generation and Editing explained for the Developing AI Apps and Agents on Azure exam: Foundry apps generate images from text and edit existing images, including inpainting with a mask, using gpt-image series models such as GPT-Image-2; DALL-E 3 was retired on March 4, 2026; parameters include size, quality, output format and number of images; image generation is also available as a Responses API tool; prompts and outputs pass content filters, and generated images carry C2PA content credentials. Image Generation and Editing is in Domain 3, Implement Computer Vision Solutions, which is 10–15% of the AI-103 exam. This exam-focused lesson is for developers who build generative AI apps and agents on Azure with Microsoft Foundry preparing for the certification. What you will learn: • Image models in Foundry • Generating from text • Editing and inpainting • Parameters • Prompting for images • Exam traps and self-check questions CHAPTERS 00:00 Image generation and editing for AI-103 00:27 Image models in Foundry 00:57 Generating from text 01:25 Editing and inpainting 01:49 Parameters 02:17 Prompting for images 02:45 Exam traps for image generation 03:10 Self-check questions AI-103 full course: video 28 of 40, in blueprint order (Domain 1 to Domain 5). Next: Video Generation with Sora 2. Facts checked against the official Microsoft AI-103 study guide and Microsoft Learn documentation on 2026-10-21. Skills measured and weights are from the official Microsoft study guide for AI-103 (skills measured as of April 16, 2026; checked October 2026). Unofficial study material, not affiliated with or endorsed by Microsoft. Confirm against the current study guide before you sit the exam. Subscribe to Core Concept Learning for clear, visual explanations of AI and software engineering concepts. #AI103 #MicrosoftFoundry #MicrosoftFoundry