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AI-3016: Develop generative AI apps in Azure
Build generative AI apps that chat, reason and work with your own data. This practical, self-paced course shows developers how to deploy language models in Microsoft Foundry, create chat apps, connect tools, ground responses with your data and apply responsible AI practices.
Duration
8 Hours (1 Day)
Modules
1 Modules
Course type
Microsoft
Course Overview
This intermediate-level learning path teaches AI engineers and data scientists how to build generative AI applications using Azure AI Foundry. You’ll learn to plan AI projects, choose and fine-tune models, develop apps using the Foundry SDK, implement Retrieval Augmented Generation (RAG), and evaluate performance—all while applying responsible AI principles.
Before You Begin
- Familiarity with fundamental AI concepts and Azure services
- Programming experience (e.g., Python, C#)
- Understanding of model deployment and API integration
- Access to Azure AI Foundry portal
Key outcomes
- Prepare for AI Development Plan and set up generative AI workflows.
- Deploy and Fine-Tune Models Use Azure AI Foundry for model customization.
- Build with SDK and Prompts Create apps using SDK and prompt flow tools.
- Optimize and Scale AI Implement RAG and improve performance across workflows.
Tools you’ll use
Visual Studio Code
Azure Portal
Azure AI Foundry Portal
Prompt Flow
Skills you’ll gain
- Generative AI Development
- Azure AI Tools
- Language Model Fine-Tuning
- Model Deployment Strategy
- RAG Implementation Techniques
- Custom Data Integration
- Prompt Flow Usage
- Model Performance Evaluation
What You’ll Learn
1 module
1Lesson 1: Develop generative AI apps in Azure
Module 1: Plan and prepare to develop AI solutions on Azure Module 2: Choose and deploy models from the model catalog in Azure AI Foundry portal Module 3: Develop an AI app with the Azure AI Foundry SDK Module 4: Get started with prompt flow to develop language model apps in the Azure AI Foundry Module 5: Develop a RAG-based solution with your own data using Azure AI Foundry Module 6: Fine-tune a language model with Azure AI Foundry Module 7: Implement a responsible generative AI solution in Azure AI Foundry Module 8: Evaluate generative AI performance in Azure AI Foundry portal
Certification & Credentials
Certificate track
8 Hours (1 Day)
Target Audience
Intended roles
- AI Solutions Architect
- Generative AI Engineer
- Software Developer
Frequently asked questions
What is Azure AI Foundry?
It’s a development platform for building, deploying, and managing generative AI applications using prebuilt and custom models.
Do I need coding experience?
Yes, programming experience is required to work with SDKs and APIs.
What is RAG in generative AI?
Retrieval Augmented Generation combines external data sources with language models to improve response accuracy.
Is this course hands-on?
Yes, it includes labs and exercises for building real-world generative AI apps.
Who should take this course?
AI engineers and data scientists developing intelligent applications using Azure’s generative AI capabilities.
| Duration | 8 Hours (1 Day) |
|---|---|
| Modules | 1 Modules |
| Course type | Microsoft |
| Category | Microsoft |
| Intended roles | AI Solutions Architect, Generative AI Engineer, Software Developer |
| Prerequisites | Familiarity with fundamental AI concepts and Azure services, Programming experience (e.g., Python, C#), Understanding of model deployment and API integration, Access to Azure AI Foundry portal |
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