Develop generative AI apps in Azure AI Foundry portal

About this course

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 ForAI 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

Plan and Prepare — define your generative AI strategy and environment

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

Develop with the SDK — implement core logic using the Azure AI SDKPrompt Flow — orchestrate conversational flows and design effective promptsRAG with Your Data — integrate Retrieval-Augmented Generation to ground responses

Fine-Tuning — adapt models for your specific scenarios

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

Evaluate and Iterate — measure performance and continuously improve your copilot

Learning Outcomes

Build and deploy conversational AI systems with Azure AI StudioGround 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 MattersAI copilots are tra

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