Microsoft Azure AI Fundamentals AI-900T00

★★★★★ 4.5/5

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 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.

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Course Information

Course Syllabus
Who It’s for
FAQs

Module 1: Explore Fundamentals of Artificial Intelligence

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

Introduction to Artificial Intelligence
Artificial Intelligence in Microsoft Azure

After completing this module, students will be able to:

Describe Artificial Intelligence workloads and considerations

Module 2: Explore Fundamentals of 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, students will be able to:

Describe fundamental principles of machine learning on Azure

Module 3: Explore Fundamentals of 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
Creating Computer Vision solutions in Azure

After completing this module, students will be able to:

Describe features of computer vision workloads on Azure

Module 4: Explore Fundamentals of 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.

Lessons

Introduction to Natural Language Processing
Building Natural Language Solutions in Azure

After completing this module, students will be able to:

Describe features of Natural Language Processing (NLP) workloads on Azure

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.

Q: What is the duration and target audience of the Microsoft Azure AI Fundamentals AI-900T00 course?

A: The duration of this course is 1 day, however, the targeted audience of the Microsoft Azure AI Fundamentals AI-900T00 course is anyone who is interested in learning about the types of solutions like artificial intelligence (AI) that makes possible, and the benefits of Microsoft Azure that you can use to create them. You just need a basic level of understanding of computer technology and the Internet is assumed. The course will cover all the hands-on activities that involve working with data and running code, so knowledge of fundamental programming principles will be useful.

Q: What is the requirement to get enrolled in Microsoft Azure AI Fundamentals AI-900T00 course?

A: The requirement for this course is to have experience of using computers and the internet. And interest in use cases for AI applications and machine learning models.

Q: What are the course objectives?

A: This course will let you learn about the artificial Intelligence workloads and considerations, core principles of machine learning on Azure, features of computer vision workloads on Azure, Natural Language Processing (NLP) workloads on Azure, and everyday AI workloads on Azure.

Q: What are the advantages of enrolling in the Microsoft Azure AI Fundamentals course?

A: The AI-900 course teaches you specific AI uses and workloads, ML concepts, and Azure services to create and publish ML models. Moreover, it will help you prepare for the AI-900 exam to earn the Azure AI-900 certification.

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Testimonials?

Mohammed Aljbreen Operation Specialist, SAMA

The Clarity of the Content was very good. The explanation of the trainer with in-depth knowledge in a proper flow really impressed me to give 5 star rating.

Arindam Chakraborty Systems Specialist, King Abdullah University of Sciences & Technology

The Instructor was really impressive. Clear cut explanation of every topic he covered with real time scenarios.

Sher Afzal Khan Cloud Engineer, Cloud 9 Networks

The Trainer and the Course Material, both are good. Good flow of explanation with simple examples. The complete training was focused on current industry challenges.

Jawed Ahmad Siddiqui Sr. System Administrator, Saudi Ceramics

The Trainer’s presentation was impressed me to continue the course till end. Never feel bore till the entire sessions. She studied our mindset and follows.