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    • Develop Gen AI apps
  • More
    • Home
    • Capabiliities
      • Mixed Reality
      • AI and Machine Learning
      • IoT & Cloud
    • Careers
    • iMentor
      • Mastering LLM Engineering
      • Data Engineering Workshop
      • OpenAI Services Workshop
      • Develop Gen AI apps
  • Home
  • Capabiliities
    • Mixed Reality
    • AI and Machine Learning
    • IoT & Cloud
  • Careers
  • iMentor
    • Mastering LLM Engineering
    • Data Engineering Workshop
    • OpenAI Services Workshop
    • Develop Gen AI apps
Gen AI Training

Develop generative AI apps

Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models to chat with your users. 

Workshop Contents

Plan and prepare to develop AI solutions on Azure

Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.

Choose and deploy models from the model catalog in Azure AI Foundry

Choose the various language models that are available through the Azure AI Foundry's model catalog. Understand how to select, deploy, and test a model, and to improve its performance.

Develop an AI app with the Azure AI Foundry SDK

Use the Azure AI Foundry SDK to develop AI applications with Azure AI Foundry projects.

Prompt flow to develop language model apps

Learn about how to use prompt flow to develop applications that leverage language models in the Azure AI Foundry.

Develop a RAG-based solution with your own data

Retrieval Augmented Generation (RAG) is a common pattern used in generative AI solutions to ground prompts with your data. Azure AI Foundry provides support for adding data, creating indexes, and integrating them with generative AI models to help you build RAG-based solutions. 

Fine-tune a language model

Train a base language model on a chat-completion task. The model catalog in Azure AI Foundry offers many open-source models that can be fine-tuned for your specific model behavior needs. 

Implement a responsible generative AI solution

 Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation. 

Evaluate generative AI performance

 Evaluating copilots is essential to ensure your generative AI applications meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your generative AI applications using the tools and features available in the Azure AI Studio 

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