MECER MS-AI 900 TOO Microsoft Azure AI Fundamentals User Guide
- June 8, 2024
- MECER
Table of Contents
MECER MS-AI 900 TOO Microsoft Azure AI Fundamentals
INTRODUCTION
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 course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
DURATION| LEVEL| TECHNOLOGY| DELIVERY METHOD|
TRAINING CREDITS
---|---|---|---|---
1 Day| Beginner| AI Platform| Instructor-led| NA
AUDIENCE PROFILE
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.
PREREQUISITES
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.
COURSE OB.JECTIVES
- 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
Module 1: Introduction to AI
In this module, you’ll learn about common uses of artificial intelligence
(AI), and the different types of workload associated with AI. You’ll then
explore considerations and principles for responsible AI development. Lessons
- Artificial Intelligence in Azure Responsible AI After completing this module you will be able to
- Describe Artificial Intelligence workloads and considerations
Module 2: Machine Learning
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. Lessons Introduction to Machine Learning
- Azure Machine Learning After completing this module you will be able to
- Describe fundamental principles of machine learning on Azure
Module 3: Computer Vision
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. Lessons
- Computer Vision Concepts
- Computer Vision in Azure After completing this module you will be able to
- Describe features of computer vision workloads on Azure
Module 4: Natural Language Processing
This module describes scenarios for AI solutions that can process written and
spoken language. You’ll learn about Azure services that can be used to build
solutions that analyze text, recognize and synthesize speech, translate
between languages, and interpret commands. After completing this module you
will be able to
- Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5: Conversational AI
Conversational AI enables users to engage in a dialog with an AI agent, or
bot, through communication channels such as email, webchat interfaces,
social media, and others. This module describes some basic principles for
working with bots and gives you an opportunity to create a bot that can
respond intelligently to user questions. Lessons
- Conversational AI Concepts
- Conversational AI in Azure After completing this module you will be able to
- Describe features of conversational AI workloads on Azure
ASSOCIATED CERTIFICATIONS 6 EXAM
This course will prepare delegates to write the Microsoft AI-900: Microsoft
Azure AI Fundamentals exam.
References
Read User Manual Online (PDF format)
Read User Manual Online (PDF format) >>