Microsoft Azure AI Apps and Agents Developer (AI-103)

• Video training

  Published video lessons covering the course, with free previews where marked.

• Practice questions

  Topic practice with explanations and feedback after you sign in.

• Explanations

  Review why an answer is right or wrong after you attempt a question.

• Knowledge checks

  Short module quizzes to confirm the lesson stuck before you move on.

• Progress tracking

  See completion, scores and weaker topics once you are signed in.

1. Domain 1

   Plan and manage an Azure AI solution

   25–30%

   Choose appropriate Microsoft Foundry services, models and retrieval approaches, then set up, monitor and secure AI apps and agents. Typical work includes deployments, quotas and cost, safety filters and responsible AI controls. SkillsNest lessons on this page follow the published Foundry module; they may not map one-to-one with every Microsoft planning objective.

2. Domain 2

   Implement generative AI and agentic solutions

   30–35%

   Build generative applications and agents in Microsoft Foundry, including retrieval-augmented generation, tool use, multi-agent workflows and operational monitoring. Hands-on Foundry practice matters more than memorising product names.

3. Domain 3

   Implement computer vision solutions

   10–15%

   Implement image and video generation or editing, and multimodal understanding such as captions, visual question-answering and content understanding. The SkillsNest visual-data module on this page covers published computer vision lessons as they stand.

4. Domain 4

   Implement text analysis solutions

   10–15%

   Apply language-model text analysis and speech, including entities, summaries, sentiment, translation, speech-to-text and text-to-speech. The published natural language module is the live SkillsNest curriculum for this area.

5. Domain 5

   Implement information extraction solutions

   10–15%

   Build retrieval and grounding pipelines and extract content from documents using OCR, layout analysis and Content Understanding. Microsoft can change the detailed skills list; always check the current official study guide.

SkillsNest is an independent exam preparation platform. We are not affiliated with, endorsed by, or sponsored by Microsoft. AI-103, Microsoft Azure, Microsoft Foundry and related names are trademarks of Microsoft Corporation. SkillsNest lessons are original training material, not official Microsoft courses or exams.

1. Step 1

   Work through the structured AI-103 lessons

   Follow the published video modules in order: generative AI apps with Microsoft Foundry, AI agents on Azure, natural language solutions, and extracting insights from visual data. Pause to try the same tasks in Foundry rather than only watching.

2. Step 2

   Build hands-on Foundry and Python experience

   Microsoft expects Azure AI engineers to build, manage and deploy agents and AI solutions using Microsoft Foundry, with experience developing applications in Python and familiarity with general AI, generative AI and Azure services. Practise in a subscription you control.

3. Step 3

   Check Microsoft’s current exam objectives

   Compare the live curriculum on this page with Microsoft’s current AI-103 study guide. Microsoft can update skills measured; this page is SkillsNest training, not the official outline.

4. Step 4

   Confirm each module with a knowledge check

   Use the published knowledge checks after each module to confirm the lesson stuck before you move on. SkillsNest currently publishes 4 knowledge checks for this course.

5. Step 5

   Practise by exam area

   Use published AI-103 practice questions to find weaker topics, then return to the matching course module.