Develop generative AI apps in Azure AI Foundry portal

Overview

Learn how to design and build your own AI copilots with Azure AI Studio. This learning path takes you through the full lifecycle of generative AI applications — from planning and model selection to development, integration, and responsible deployment. By the end, you’ll be ready to create a copilot that engages in natural conversations and is grounded in your own business data.

Who It’s For

• AI engineers and data scientists

• Developers familiar with Azure and language models

• Teams looking to embed conversational AI into business applications

• Learners with foundational knowledge of AI concepts and Azure services

Modules Included

1. Plan and Prepare — define your generative AI strategy and environment

2. Choose and Deploy Models — select, test, and optimize models from the Azure AI catalog

3. Develop with the SDK — implement core logic using the Azure AI SDK

4. Prompt Flow — orchestrate conversational flows and design effective prompts

5. RAG with Your Data — integrate Retrieval-Augmented Generation to ground responses

6. Fine-Tuning — adapt models for your specific scenarios

7. Responsible AI — apply best practices for safety, fairness, and governance

8. Evaluate and Iterate — measure performance and continuously improve your copilot

Learning Outcomes

• Build and deploy conversational AI systems with Azure AI Studio

• Ground copilots in your own data using RAG techniques

• Fine-tune and optimize models for better performance

• Apply responsible AI practices in real-world applications

• Evaluate, monitor, and iterate on your copilot for continuous improvement

Why It Matters

AI copilots are transforming how organizations interact with data, customers, and processes. With Azure AI Studio, you can create copilots that are customized, secure, and responsive to the needs of your business.