Develop generative AI apps in Azure AI Foundry portal
Develop generative AI apps in Azure AI Foundry portal
Published 9/2025
Duration: 1h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 587.74 MB
Genre: eLearning | Language: English
Published 9/2025
Duration: 1h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 587.74 MB
Genre: eLearning | Language: English
Learn to design, build, and deploy custom AI copilots in Azure AI Studio with real data and responsible AI.
What you'll learn
- Plan and Prepare — define your generative AI strategy and environment
- Choose and Deploy Models — select, test, and optimize models from the Azure AI catalog
- RAG with Your Data — integrate Retrieval-Augmented Generation to ground responses
- Develop with the SDK — implement core logic using the Azure AI SDK
- Fine-Tuning — adapt models for your specific scenarios
Requirements
- Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. You should also have programming experience.
Description
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
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 SDK
Prompt Flow— orchestrate conversational flows and design effective prompts
RAG 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 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.
Who this course is 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
More Info