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Microsoft Azure AI Apps & Agents Developer training (AI-103) - build generative-AI applications and AI agents on Azure.
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The Microsoft Certified: Azure AI Apps and Agents Developer Associate credential (exam AI-103) validates the ability to build, deploy and manage generative-AI applications and AI agents on Azure. This course prepares you for the exam: planning and managing an Azure AI solution; building with Microsoft Foundry (formerly Azure AI Foundry), Azure OpenAI and the Azure AI Agent Service; retrieval-augmented generation (RAG) with Azure AI Search; building and orchestrating AI agents, including multi-agent patterns; content safety and responsible AI; and monitoring and securing AI solutions. Python is the assumed language. AI-103 is the successor to AI-102: Microsoft retired the AI-102 exam and the "Azure AI Engineer Associate" credential on 30 June 2026, rebuilding the role around generative AI and agents. You earn the credential by passing one exam (about 120 minutes, roughly 40 to 60 questions) delivered by Pearson VUE - at a test centre or online. The passing score is 700 on a scale of 100 to 1000 (a scaled score, not a percentage), and the fee is US $165 (varies by country). There is no mandatory prerequisite, though Microsoft recommends Python development experience and familiarity with generative AI and Azure services.
Generative AI and AI agents are the fastest-growing area of cloud development, and this is Microsoft's current, flagship AI developer certification for 2026. It proves you can build, deploy and manage production generative-AI applications and agents on Azure - RAG pipelines, tool-calling and multi-agent solutions, content safety and responsible AI - using Microsoft Foundry and Azure OpenAI. As the successor to AI- 102, it is the credential employers now look for from Azure AI developers.
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AI-103 is for people who build AI solutions on Azure: - Software developers building AI-infused applications - Engineers moving into generative AI and agent development - Azure developers adding AI skills to their profile There is no mandatory prerequisite, but Microsoft recommends experience developing apps in Python and familiarity with generative AI and Azure services - this is an Associate, implementation-level exam.
How to earn it:
1. Build hands-on experience with Microsoft Foundry, Azure OpenAI, the Azure AI Agent Service and Azure AI Search (Python).
2. Prepare with the official AI-103 study guide, Microsoft Learn paths, and a prep course with labs and practice questions - that is what ...
The Microsoft Azure AI Apps & Agents Developer (AI-103) certification exam evaluates your ability to develop, deploy, and manage AI applications and intelligent agents using Microsoft Azure services. It focuses on generative AI solutions, Azure AI services, agent development, prompt engineering, retrieval-augmented generation (RAG), application integration, and responsible AI practices. Understanding the exam structure, key technical domains, and certification requirements can help candidates prepare effectively and demonstrate their ability to build practical, scalable, and secure AI solutions on Azure.
Certification details verified on 25 August 2026. Confirm the current AI-103 exam study guide, format, passing score and fee on the Microsoft site. AI-103 is the successor to the retired AI-102. The exam is about 120 minutes via Pearson VUE, with a passing score of 700 on a 100-1000 scale and a fee of US $165 (varies by country). There is no mandatory prerequisite (Python recommended). The certification is valid for 12 months and renews for free online through Microsoft Learn.
This certification is for people who build AI solutions on Azure: - Software developers building AI-infused applications - Engineers moving into generative AI and agent development - Azure developers adding AI skills to their profile There is no mandatory prerequisite, but Microsoft recommends Python development experience and familiarity with generative AI and Azure services - this is an Associate, implementation-level exam. Our course builds the skills with hands-on Python labs and includes practice questions and mock exams to get you ready to pass.
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