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AI-103 Azure AI apps and agents developer

Design, build and run AI applications and agents on Microsoft Foundry, with .NET: services and deployment, agents and tools, images and video, text and speech, information extraction. The topics of exam AI-103, building on the AI track.

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Who it is for

For .NET developers who have to build and run AI applications on Azure or who are aiming at exam AI-103 and already know the AI track.

Prerequisites

The AI track (at least modules T1 to T7 and T10) or equivalent experience with Microsoft.Extensions.AI, RAG, agents and evaluation, plus K2 and the Azure basics from K3. You need an Azure account only for the optional steps; model availability and quotas differ per subscription and region. The exam itself expects Python experience: the course teaches .NET and only reads Python.

Afterward, you can

  • Choose Foundry services, models and deployment types from requirements and justify the choice
  • Design infrastructure, security, quotas, monitoring and responsible AI for a Foundry solution
  • Build agents with the Foundry SDK: tools, memory, several agents, approvals, evaluation
  • Generate images and videos, understand images and analyze content with Content Understanding
  • Analyze and translate text, process speech and use it as an agent's modality
  • Ingest, enrich and index content and connect it to agents

Contents

  1. I0

    Orientation

    map of the exam and the AI track, the exercise account with cost and clean-up, reading Python and writing .NET

    3 h
  2. I1

    Plan and manage

    choosing services and models, infrastructure and CI/CD, quotas and monitoring, security, responsible AI in operation

    8 h
  3. I2

    Generative and agentic solutions

    Foundry SDK, RAG, agents and tools, several agents and approvals, evaluation, tuning, observability

    12 h
  4. I3

    Images and video

    generating and editing images and videos, understanding images, Content Understanding, responsible AI for images

    7 h
  5. I4

    Text and speech

    text analysis, translation, speech to text and back, speech as an agent's modality

    6 h
  6. I5

    Information extraction

    indexing, semantic and hybrid search, enrichment, Content Understanding for documents, retrieval for agents

    7 h
  7. I6

    Wrap-up

    final project: the travel assistant as a design and sketch, defending the design, checking gaps

    4 h

About 47 hours in all (indicative).

Lessons

You see the text and video of every lesson here on the site after buying the course; the titles and goals are already shown. A self-study course: you work through the lessons in order and check your exercises yourself against the solutions.

You can read the first module (I0) for free, with text and video, without signing in: so you see how the course works before you buy.

The lessons stand under their modules, in the order of the course. Click a module to open or close its lessons.

I0 Orientation

Indicative: 3 hours · 3 lessonsfree to read
  1. Lesson 1 · about 60 minutes

    The map: exam, AI track and this course

I1 Plan and manage

Indicative: 8 hours · 5 lessons
  1. Lesson 6 · about 90 minutes

    Quotas, scaling, cost and monitoring

I2 Generative and agentic solutions

Indicative: 12 hours · 8 lessons
  1. Lesson 13 · about 120 minutes

    Multiple agents, workflows and approvals

I3 Images and video

Indicative: 7 hours · 5 lessons
  1. Lesson 18 · about 90 minutes

    Generating and editing videos

I4 Text and speech

Indicative: 6 hours · 4 lessons

I5 Information extraction

Indicative: 7 hours · 5 lessons

I6 Wrap-up

Indicative: 4 hours · 2 lessons

Final project: the Kladde

What the Kladde can do after this course

No further work on the Kladde but a final project: the travel assistant of the made-up Nordlicht Reisen GmbH as a decision folder with an architecture overview and a Bicep sketch, compiled and not deployed.

At the end you have designed every area of the exam on one continuous case and built or sketched it in .NET, and assembled a decision folder. You check the final project yourself against a list.

More about the Kladde

Certifications

An offer, never a requirement: these Microsoft exams fit this stage. You take them at Microsoft; we are not a Microsoft training partner.

The course follows the topics Microsoft lists for exam AI-103 (the version of the skills list dated April 16, 2026, read on Microsoft Learn on November 12, 2026) and replaces neither Microsoft's material nor exam preparation. The exam expects Python experience; the course teaches .NET. You take the exam with Microsoft; registration, price and dates are there.

Keep learning with Microsoft Learn

Microsoft's learning paths and documentation that go with this course.

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