AI-901: Introduction to AI in Azure

• Introduction to AI concepts
• Introduction to machine learning concepts
• Get started with machine learning in Azure
• Introduction to generative AI concepts
• Get started with generative AI in Azure
• Introduction to natural language processing concepts
• Get started with natural language processing in Azure
• Get started with speech in Azure
• Get started with computer vision in Azure
• Introduction to AI-powered information extraction concepts
• Get started with AI-powered information extraction in Azure

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
 
Specifically:
 

• Experience using computers and the internet.
• Interest in use cases for AI applications and machine learning models.
• A willingness to learn through hands-on exploration.

 

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

Module 1: Introduction to AI concepts

Introduction to AI

Generative AI

Computer Vision

Speech

Natural Language Processing

Extract Data and Insights

Responsible AI

Module Assessment

Summary
 
Module 2: Introduction to machine learning concepts

Introduction

What is machine learning?

Types of machine learning

Regression

Binary classification

Multiclass classification

Clustering

Deep learning

Transformers

Module assessment

Summary
 
Module 3: Get started with machine learning in Azure

Introduction

Define the problem

Get and prepare data

Train the model

Use Azure Machine Learning Studio

Integrate a model

Exercise: Explore Automated Machine Learning in Azure Machine Learning

Module assessment

Summary
 
Module 4: Introduction to generative AI concepts

Introduction

What is generative AI?

How do language models work?

Understand how transformers advance language models

Understand differences in language models

Improve prompt results

Create responsible generative AI solutions

Module assessment

Summary
 
Module 5: Get started with generative AI in Azure

Introduction

Understand generative AI applications

Understand tools to develop generative AI

Understand Azure AI Foundry’s model catalog

Understand Azure AI Foundry capabilities

Understand observability

Exercise: Explore generative AI in Azure AI Foundry portal

Module assessment

Summary
 
Module 6: Introduction to natural language processing concepts

Introduction

Understand how language is processed

Understand statistical techniques for NLP

Understand semantic language models

Module assessment

Summary
 
Module 7: Get started with natural language processing in Azure

Introduction

Understand how natural language processing works on Azure

Understand Azure AI Language’s text analysis capabilities

Understand Azure AI Language’s conversational AI capabilities

Understand Azure AI Translator capabilities

Get started in Azure AI Foundry

Exercise – Analyze text in Azure AI Foundry portal

Module assessment

Summary
 
Module 8: Get started with speech in Azure

Introduction

Understand speech recognition and synthesis

Get started with speech on Azure

Use Azure AI Speech

Exercise: Explore Speech in Azure AI Foundry portal

Module assessment

Summary
 
Module 9: Introduction to computer vision concepts

Introduction

Overview

Understand image processing

Machine learning for computer vision

Understand modern vision models

Module assessment

Summary
 
Module 10: Get started with computer vision in Azure

Introduction

Understand Azure AI Services for Computer Vision

Understand Azure AI Vision – Image Analysis capabilities

Understand Azure AI Vision – Face Service capabilities

Get started in Azure AI Foundry portal

Exercise: Analyze images in Azure AI Foundry portal

Module assessment

Summary
 
Module 11: Introduction to AI-powered information extraction concepts

Introduction

Overview

Understand the extraction of data from images

Understand the extraction of data from forms

Understand multimodal data extraction

Understand data extraction for knowledge mining

Module assessment

Summary
 
Module 12: Get started with AI-powered information extraction in Azure

Introduction

Azure AI Services for Information Extraction

Extract Information with Azure AI Vision

Extract Multimodal Information with Azure AI Content Understanding

Extract Information from Forms with Azure AI Document Intelligence

Create a Knowledge Mining Solution with Azure AI Search

Exercise: Extract Information

Module assessment

Summary
 

Microsoft Certified: Azure AI Fundamentals.
 
The Azure AI Fundamentals certification validates your foundational knowledge of machine learning and AI concepts, along with related Azure services. You earn it by passing Exam AI-901: Microsoft Azure AI Fundamentals.