1-Day Instructor-Led Training
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Microsoft Applied Skills Course
Develop Generative AI Apps in Azure (AI-3016) - Special Event
Course 9093
- Duration: 1 day
- Language: English
- Level: Intermediate
Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. See live demonstrations building generative AI applications that use language models to chat with your users in this live, instructor-led training.
Develop generative AI apps in Azure Delivery Methods
Online
Develop generative AI apps in Azure Training Information
Skills & Outcomes:
- Learn how to build generative AI applications that act as custom copilots.
- Choose and deploy appropriate language models from Azure’s model catalog.
- Use Prompt Flow to develop interactive LLM apps.
- Integrate your own data with Retrieval-Augmented Generation (RAG) techniques.
- Fine-tune and evaluate model performance for real-world usage.
- Understand and implement responsible AI best practices.
These outcomes help participants go from concept to deployable custom copilots that solve real business problems.
Prerequisites / Who Should Attend
- Technical professionals with foundational understanding of AI concepts and Azure services.
- People interested in building AI-driven tools that extend enterprise workflows and productivity.
Develop generative AI apps in Azure Training Outline
Plan and prepare to develop AI solutions on Azure
- What is AI?
- Azure AI services
- Azure AI Foundry
- Developer tools and SDKs
- Responsible AI
- Exercise – Prepare for an AI development project
Choose and deploy models from the model catalog in Azure AI Foundry portal
- Explore the model catalog
- Deploy a model to an endpoint
- Optimize model performance
- Exercise – Explore, deploy, and chat with language models
Develop an AI app with the Azure AI Foundry SDK
- What is the Azure AI Foundry SDK?
- Work with project connections
- Create a chat client
- Exercise – Create a generative AI chat app
Get started with prompt flow to develop language model apps in the Azure AI Foundry
- Understand the development lifecycle of a large language model (LLM) app
- Understand core components and explore flow types
- Explore connections and runtimes
- Explore variants and monitoring options
- Exercise – Get started with prompt flow
Develop a RAG-based solution with your own data using Azure AI Foundry
- Understand how to ground your language model
- Make your data searchable
- Create a RAG-based client application
- Implement RAG in a prompt flow
- Exercise – Create a generative AI app that uses your own data
Fine-tune a language model with Azure AI Foundry
- Understand when to fine-tune a language model
- Prepare your data to fine-tune a chat completion model
- Explore fine-tuning language models in Azure AI Foundry portal
- Exercise – Fine-tune a language model
Implement a responsible generative AI solution in Azure AI Foundry
- Plan a responsible generative AI solution
- Map potential harms
- Measure potential harms
- Mitigate potential harms
- Manage a responsible generative AI solution
- Exercise – Apply content filters to prevent the output of harmful content
Evaluate generative AI performance in Azure AI Foundry portal
- Assess the model performance
- Manually evaluate the performance of a model
- Automated evaluations
- Exercise – Evaluate generative AI model performance
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Develop generative AI apps in Azure FAQs
Familiarity with fundamental AI concepts and Azure services is required. Completing the Microsoft Azure AI Fundamentals (AI-900) training course is recommended.
Participants will receive a certificate of completion after successfully finishing the course.