Azure AI for Developers: Using the Azure AI Model Catalog

Course details

This comprehensive course introduces developers to the Azure AI Model Catalog and its applications. Discover the purpose, benefits, and key features of the catalog, along with techniques for accessing and navigating it effectively. Explore various types of models available, including curated non-Microsoft models, exclusive Azure OpenAI models, and open models from Hugging Face. The course also covers reviewing model cards, comparing benchmarks, selecting the right model for specific scenarios, and deploying models using managed compute or serverless APIs. By the end of the course, you’ll be better equipped to leverage the Azure AI Model Catalog for AI development and deployment.

Concepts

0. Introduction

01 - Effortlessly navigate Azure's AI model catalog
02 - What you should know

1. Introduction to the Azure AI Model Catalog

03 - Overview of the Azure AI model catalog
04 - Importance and benefits of using the model catalog
05 - Key features and capabilities

2. Navigating the Model Catalog

06 - Accessing the Azure AI model catalog
07 - Understanding the user interface
08 - Searching and filtering models

3. Types of Models Available

09 - Curated by Azure AI - Popular non-Microsoft models
10 - Azure OpenAI models - Exclusive models available on Azure
11 - Open models from Hugging Face - Real-time inference models
12 - Industry models from partners

4. Model Selection and Comparison

13 - Reviewing model cards and sample inferences
14 - Comparing benchmarks across models and datasets
15 - Selecting the right model for your business scenario

5. Deploying Models

16 - Deployment options - Managed compute vs. serverless APIs
17 - Step-by-step guide to deploying a model
18 - Integrating models into applications

Conclusion

19 - Recap
20 - Additional resources for continued learning