Introduction to AI in Azure (AI-900)

Duration: 1 Day

Course Overview

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

How can I attend my course?

On-line from
your chosen location

At our dedicated
training facility

On-site at
your premises

Target Audience

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. 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.

COURSE OBJECTIVES

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

Course Content

Chapter 1: Introduction to AI Concepts

• Explore core AI topics including generative AI, computer vision, speech, natural language processing, and responsible AI.

Chapter 2: Introduction to Machine Learning Concepts

Machine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

• Introduction to Machine Learning
• Azure Machine Learning

After completing this module you will be able to
• Describe fundamental principles of machine learning on Azure

Chapter 3: Get Started with Machine Learning in Azure

Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you’ll explore multiple computer vision techniques and services.

• Computer Vision Concepts
• Computer Vision in Azure

After completing this module you will be able to
• Describe features of computer vision workloads on Azure

Chapter 4: Introduction to Generative AI Concepts

• Discover how language models and transformers generate original content and apply responsible practices.

Module 5: Conversational AI

• Use Azure AI Foundry’s tools, model catalog, and playgrounds to build generative AI apps.

Chapter 6: Introduction to Natural Language Processing Concepts

• Learn the fundamentals of NLP, from statistical techniques to semantic models.

Chapter 7: Get Started with Natural Language Processing in Azure

• Apply Azure AI Language services for sentiment analysis, conversational AI, and translation.

Chapter 8: Get Started with Speech in Azure

• Recognize and synthesize speech with Azure AI Speech services.

Chapter 9: Introduction to Computer Vision Concepts

• Explore image processing, modern vision models, and machine learning for vision.

Chapter 10: Get Started with Computer Vision in Azure

• Use Azure AI Vision services to analyze images and detect faces.

Chapter 11: Introduction to AI-Powered Information Extraction Concepts

• Understand how to extract data from images, forms, and multimodal sources.

Chapter 12: Get Started with AI-Powered Information Extraction in Azure

• Use Azure AI services to extract insights, build knowledge mining solutions, and analyze documents

COURSE PREREQUISITES

Prerequisite certification is not required before taking this course. However, successful Azure AI Fundamental students start with essential knowledge of computing and internet concepts and an interest in using Azure AI services.

Before taking this course, participants should have:
• 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.

TEST CERTIFICATION

This course can help you prepare for the following Microsoft role-based certification exam:
Exam AI-900: Microsoft Certified: Azure AI Fundamentals.

You will receive a full set of course notes
and all supporting materials for your course.

Hard Copy Delivered to your premises or Downloaded to a chosen device.

To book this course please call 
+44 (0) 1444 410296 or email Info@kplknowledge.co.uk

Microsoft Gold Learning Partner 250px

Training and accreditation is provided through Global Knowledge