Engaging visual content to enhance understanding and learning experience.
Insightful audio sessions featuring expert discussions and real-world cases.
Listen and learn anytime with convenient audio-based knowledge sharing.
Comprehensive digital guides offering in-depth knowledge and learning support.
Interactive assessments to reinforce learning and test conceptual clarity.
Supplementary references and list of tools to deepen knowledge and practical application.
Visual Studio Code
Azure Portal
Azure AI Foundry Portal
Prompt Flow
Plan and set up generative AI workflows.
Use Azure AI Foundry for model customization.
Create apps using SDK and prompt flow tools.
Implement RAG and improve performance across workflows.
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
It’s a development platform for building, deploying, and managing generative AI applications using prebuilt and custom models.
Yes, programming experience is required to work with SDKs and APIs.
Retrieval Augmented Generation combines external data sources with language models to improve response accuracy.
Yes, it includes labs and exercises for building real-world generative AI apps.
AI engineers and data scientists developing intelligent applications using Azure’s generative AI capabilities.