Work with generative artificial intelligence (AI) models in Azure Machine Learning

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Overview

"Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning" is a hands-on course designed for data scientists, AI engineers, and developers interested in building and deploying generative AI solutions using Microsoft Azure’s robust machine learning platform. The course focuses on leveraging Azure Machine Learning to create, train, and operationalize generative models that can produce text, images, and other creative outputs. Participants will learn how to integrate popular generative AI architectures, such as transformer-based models, into the Azure ecosystem. The...

Syllabus

Module 1: Module 1: Understand the Transformer architecture and explore large language models in Azure Machine Learning
- Introduction
- Understand statistical techniques used for natural language processing (NLP)
- Understand the deep learning techniques used for natural language processing (NLP)
- Understand the transformer architecture used for natural language processing (NLP)
- Explore foundation models in the model catalog
- Exercise - Explore foundation models in the model catalog
- Knowledge check
- Summary

Module 2: Module 2: Fine-tune a foundation model with Azure Machine Learning
- Introduction
- Understand when to fine-tune a foundation model
- Explore fine-tuning foundation models in Azure Machine Learning
- Evaluate, deploy, and test a fine-tuned foundation model
- Exercise - Fine-tune a foundation model
- Knowledge check
- Summary