AI-900T00: Microsoft Azure AI Fundamentals | IT Training & Certification | Info Trek
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AI-900T00: Microsoft Azure AI Fundamentals

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AI-900T00: Microsoft Azure AI Fundamentals

WHAT YOU WILL LEARN

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.

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.

PREREQUISITES

Familiarity with computers and using a web browser.

METHODOLOGY

This program will be conducted with interactive lectures, PowerPoint presentation, discussions, and practical exercise.

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


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Modules

Module 1: Introduction to AI

In this module, you will learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You will 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 will 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 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 will 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


Gerald Hoong Seng Kah

Gerald Hoong Seng Kah

Gerald has 19 years of information technology experience and on community service and event experiences, he excels impressively. He was invited as a speaker for 3 break-out sessions for Microsoft TechED SEA 2008 on SQL Server 2008 at Kuala Lumpur Convention Center.

He even participated at the “Ask-The-Expert" booth for Microsoft Visual Studio 2008 and Microsoft SQL Server 2008 at the Heroes Launch 2008 and conducted a Microsoft Visual Studio Team System 2008, formerly code-named “Orcas" Metro workshop for Microsoft Certified Partners and independent software vendors (ISVs).

He was invited as a speaker on various occasions such as during the 2 break-out sessions and 3 instructor-led sessions at Microsoft TechED SEA 2007 on SQL Server 2008 and Office SharePoint Server 2007 respectively at Kuala Lumpur Convention Center. He was also a speaker for an instructor-led session at Microsoft TechEd SEA 2006 on development of web parts using Windows SharePoint Services Version 3.0 at Kuala Lumpur Convention Center.

He conducted a few Microsoft Office 2007 Touchdown workshops for Microsoft Certified Partners and independent software vendors and Microsoft Windows Vista Beta 1 Touchdown workshop and Microsoft Windows Vista Beta 1 Touchdown workshop for Microsoft Certified Partners and ISVs. He also conducted a Microsoft Windows Server code-named “Longhorn" Touchdown workshop and Microsoft Visual Studio Team System workshop for Microsoft Certfied Partners and ISVs.

He was invited as a guest speaker on Microsoft Office 2007 development for the MIND community, which is an active IT community under the helm of Microsoft. He is a committee member of SQL Practitioners Alliance Network (SPAN).

He was the co- speaker and tag team presenter at the recently concluded World SharePoint Conference 2014 at Las Vegas, USA. He was the only Malaysian presenter among the other presenters from Asia.

In March 2014, he participated as co-speaker and tag team presenter at the World SharePoint Conference 2014 at Venetian Hotel and Resorts, Las Vegas, USA.

Recently, he conducted a specialized Microsoft SharePoint training and consultancy for a team of 17 people from Carlsberg Group at Carlsberg & Jacobsen Brewhouse in Copenhagen, Denmark.

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