AI-103

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

Build manage and deploy agents and AI solutions using Microsoft Foundry. Learn to implement generative AI agentic solutions computer vision text analysis and information extraction on Azure.

75 lessons
15 hours
5 modules
Loading...
Godlike Exams

Spend your points to unlock real exam questions

The points you’re earning right now aren’t just for show — redeem them on Godlike Exams to unlock real exam-style questions for the certifications you study here. 20 questions are free per exam to try right away.

Browse practice exams

Course Content

5 modules · 75 lessons

Module 1: Plan and Manage an Azure AI Solution

Plan and manage Azure AI solutions including choosing appropriate services and deployment options. (25-30% of exam)

Choose Appropriate Foundry Services

Choose appropriate services for generative AI and agents.

Set Up AI Solutions in Foundry

Design infrastructure and deploy AI solutions.

Manage Monitor Secure AI Systems

Manage quotas scaling and security for AI.

Implement Responsible AI

Configure safety filters and responsible AI.

Module 2: Implement Generative AI and Agentic Solutions

Implement generative AI and agentic solutions using Foundry including RAG and multi-agent workflows. (30-35% of exam)

Build Generative Applications

Deploy and consume models in Foundry.

Build Agents Using Foundry

Build and deploy agents in Foundry.

Optimize Generative AI Systems

Optimize and operationalize generative AI.

Module 3: Implement Computer Vision Solutions

Implement computer vision solutions including image and video generation and multimodal understanding. (10-15% of exam)

Image and Video Generation

Generate images and videos from prompts.

Multimodal Understanding

Analyze visual context with multimodal models.

Responsible AI for Vision

Implement responsible AI for visual content.

Module 4: Implement Text Analysis Solutions

Implement text analysis solutions including entity extraction summarization and speech services. (10-15% of exam)

Language Model Text Analysis

Apply language model text analysis.

Speech Solutions

Implement speech solutions.

Module 5: Implement Information Extraction Solutions

Implement information extraction solutions including document processing and content understanding. (10-15% of exam)

Retrieval and Grounding Pipelines

Build retrieval and grounding pipelines.

Document Content Extraction

Extract content from documents.

Advanced Extraction Scenarios

Advanced extraction scenarios and patterns.

Your Progress
Godlike Exams

Spend your points to unlock real exam questions

Spend your points on real exam questions.

Browse practice exams