Program Outline
Develop AI Solutions in Azure
AI-102 focuses on developing AI solutions in Azure, including generative AI applications, intelligent agents, natural language, computer vision, and information extraction workloads.
Delivery
Virtual, On-site, or Hybrid
Duration
5 days
Product
Azure
Role
AI Engineer
Microsoft
AI Engineer TrackFoundry, agents, language, vision
Azure AI
Best Fit
Audience Profile
Who This Program Is For
Software engineers building AI-powered applications with Azure AI Foundry and Azure AI services.
Overview
Program Summary
Official Microsoft Learn course aligned to Azure AI engineering responsibilities, covering generative AI apps, agents, computer vision, language, and information extraction scenarios.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Get Started with Azure AI Services
+
Module 1
Get Started with Azure AI Services
Configure, secure, and monitor Azure AI services, including resource provisioning, authentication, and responsible AI controls.
- and monitor Azure AI services
- including resource provisioning
- authentication
- and responsible AI controls
2Module 2
Computer Vision and Multimodal AI
+
Module 2
Computer Vision and Multimodal AI
Build vision-enabled applications with Azure AI Vision, Video Indexer, and multimodal model capabilities for image and video understanding.
- Build vision-enabled applications with Azure AI Vision
- Video Indexer
- and multimodal model capabilities for image
- video understanding
3Module 3
Natural Language Processing and Speech
+
Module 3
Natural Language Processing and Speech
Implement NLP solutions including text analysis, translation, and conversational language; add speech-to-text and text-to-speech capabilities.
- Implement NLP solutions including text analysis
- and conversational language; add speech-to-text
- text-to-speech capabilities
4Module 4
Azure AI Search and Information Extraction
+
Module 4
Azure AI Search and Information Extraction
Design AI-enriched search pipelines with Azure AI Search for knowledge mining, extraction, and intelligent document processing.
- Design AI-enriched search pipelines with Azure AI Search for knowledge mining
- and intelligent document processing
5Module 5
Generative AI and Intelligent Agents
+
Module 5
Generative AI and Intelligent Agents
Build generative AI applications with Azure OpenAI, design agent workflows with Semantic Kernel, and apply evaluation and governance practices.
- Build generative AI applications with Azure OpenAI
- design agent workflows with Semantic Kernel
- and apply evaluation
- governance practices
Coverage Areas
Topic Coverage
Coverage Item 1
Azure AI services setup, configuration, and security
Coverage Item 2
Computer vision and multimodal AI capabilities
Coverage Item 3
Natural language processing and speech solutions
Coverage Item 4
Azure AI Search and information extraction
Coverage Item 5
Generative AI applications and intelligent agents
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Align labs to your AI use case and domain data
- •Add deeper agent engineering and orchestration coverage
- •Extend into production governance and evaluation workflows
