AI-3016 Develop generative AI apps in Azure
Building generative AI applications is no longer reserved for research teams with deep pockets. Azure AI Foundry puts a comprehensive development platform in the hands of engineers and data scientists who want to build, evaluate and deploy real language model applications, and this one-day course gives you the practical skills to do exactly that.
Delivered by Julian Sharp, MCT and former Microsoft MVP, this session takes you from planning and model selection through to building apps with the Azure AI Foundry SDK, implementing Retrieval Augmented Generation, fine-tuning language models, and evaluating generative AI performance. Julian brings the kind of real-world perspective that turns a technical curriculum into something you can actually apply, covering responsible AI implementation alongside the hands-on development work throughout the day.
By the end of the day you will have worked across the full generative AI development lifecycle on Azure, from choosing the right model to deploying a solution that performs responsibly in production.
You will leave with the confidence and the code to build generative AI applications that are ready for the real world.
1. Plan and prepare to develop solutions
2. Choose and deploy models from the catalog
3. Develop an AI App with Azure AI Foundry SDK
4. Get started with prompt flow to develop language model apps
5. Develop a Retrieval Augmented Generation (RAG) based solution
6. Fine tune a language model
7. Implement a responsible generative AI solution
8. Evaluate generative AI performance
Calendar
| Webinar | Price | Actions |
|---|---|---|
| 02/09/2026 (09:00 - 16:30 CET/CEST) | € 450,00 | Register |
| 19/11/2026 (09:00 - 16:30 CET/CEST) | € 450,00 | Register |
Enjoy a discount and leverage your Companial Service Funds.
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Who is this course for?
Intermediate-level AI engineers and data scientists with foundational AI knowledge, equivalent to AI-900 or similar, who want to build and deploy generative AI solutions on Azure. Programming experience is required.
What will you learn?
- How to plan and prepare a generative AI solution and select the right models from the Azure model catalog
- How to build AI applications using the Azure AI Foundry SDK
- How to use Prompt Flow to develop and orchestrate language model applications
- How to implement a Retrieval Augmented Generation solution to ground your app in real data
- How to fine-tune a language model to better fit your specific use case
- How to evaluate generative AI performance and implement responsible AI practices in production