This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.

The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.

The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful

You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts

After completing this course, you will be able to:

• Describe Artificial Intelligence workloads and considerations
• Describe fundamental principles of machine learning on Azure
• Describe features of computer vision workloads on Azure
• Describe features of Natural Language Processing (NLP) workloads on Azure
• Describe features of conversational AI workloads on Azure

• Introduction to AI concepts
  • In this module, you'll learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.
• Introduction to machine learning concepts
  • Describe core concepts of machine learning
  • Identify different types of machine learning
  • Describe considerations for training and evaluating machine learning models
  • Describe core concepts of deep learning and Transformers
• Get started with machine learning in Azure
  • Design a solution to get and prepare data.
  • Choose a service and compute to train a model.
  • Prepare for model deployment options.
  • Lab: Explore Automated Machine Learning in Azure Machine Learning
• Introduction to generative AI concepts
  • Understand what generative AI can do and how it appears in today's applications.
  • Understand how language models can understand and generate language.
  • Describe ways you can engineer good prompts and quality responses.
  • Describe responsible generative AI concepts.
• Get started with generative AI in Azure
  • Get started with generative AI in Azure
  • Lab: Explore generative AI in Azure AI Foundry portal
• Introduction to natural language processing concepts
  • Explore natural language processing (NLP).
• Get started with natural language processing in Azure
  • Learn how to use Azure AI Language for text analysis
  • Lab: Analyze text in Azure AI Foundry portal
• Get started with speech in Azure
  • Learn about speech recognition and synthesis
  • Learn how to use Azure AI Speech
  • Lab: Explore Speech in Azure AI Foundry portal
• Introduction to computer vision concepts
  • Introduction to computer vision concepts
• Get started with computer vision in Azure
  • Learn how to use the Azure AI Vision service to analyze images.
  • Lab: Analyze images in Azure AI Foundry portal
• Introduction to AI-powered information extraction concepts
  • Learn concepts of information extraction and search.