Introduction to Azure AI Foundry: Exploring Services and Capabilities
1h 37mIntermediate2025-03-14
Authors
Walt Ritscher
Programmer, UI Designer, Staff Instructor at LinkedIn Learning
Learn-it Labs
Course details
Discover the power of Azure AI Foundry. In this course from Learn-it Labs, instructor Walt Ritscher shows you how to make your web applications smarter and more efficient using advanced AI models and services. Explore what the Foundry is and where to find it, including hubs, projects, and the management center, along with how to use essential tools such as models, playgrounds, AI services, agents, code, and fine-tuning techniques. Find out how to locate, compare, and benchmark different models within the model catalog, and learn the steps to deploy them effectively. Walt shares tips for enhancing models using playgrounds by testing DALL-E models and chat models, and creating and editing simple prompt flows using the prompt flow editor and Python template code. This course is an ideal fit for web developers, data scientists, AI enthusiasts, and anyone interested in leveraging AI to elevate their application development skills.
Skills covered
Azure AI FoundryMachine LearningCloud AdministrationGenerative AIAzureCloud PlatformsArtificial Intelligence (AI)Cloud ComputingMicrosoftOne-Off
Concepts
0. Introduction
- 01 - Make Visual Studio more productive for your web applications
1. Getting Started
- 02 - What is the Foundry
- 03 - Where to find the foundry
- 04 - Hubs, projects, etc.
- 05 - Management center
2. The Tools
- 06 - Models, playgrounds, and AI services
- 07 - Agents, code, fine-tuning, prompt flow
- 08 - Tracing, evaluation safety, security
- 09 - Assets, endpoints, data, indexes
3. Find a Model in the Model Catalog
- 10 - Explore the models
- 11 - Learn details about a model
- 12 - Compare models and benchmarks
- 13 - Deploy a model
4. Enhance the Model
- 14 - Explore the playgrounds
- 15 - Test a DALL E model in the images playground
- 16 - Test the chat model in the playground
5. Prompt Flow
- 17 - What is a prompt flow
- 18 - Load and edit system instructions
- 19 - Create a simple prompt flow
- 20 - Explore the prompt flow editor
- 21 - The Python template code
- 22 - Use a standard prompt flow
- 23 - Use search engine results with Serp API
- 24 - Deploy a prompt flow or playground
6. Research and More
- 25 - Explore new models in Azure AI Foundry Labs
- 26 - Learn more about Azure and AI