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Microsoft Azure AI Fundamentals / AI - 900

30 Hours
Online Instructor-led Training
USD 2800
Microsoft Azure AI Fundamentals / AI - 900 course and certification
111 Learners

About this Course
This is a fundamental course that defines Artificial Intelligence (AI) and Microsoft Azure services that can be used to create AI solutions. This course is mainly intended for individuals seeking AI workloads with the ability to identify Azure services to support them. The learning path for this course is designed in such a way that it will help the learners to prepare for the AI-900 Microsoft Azure AI Fundamentals exam.

Some of the learning objectives include describing AI workloads and considerations, the fundamental principles of machine learning on Azure, the features of computer vision workloads on Azure, Natural Language Processing (NLP) workloads on Azure, and conversational AI workloads on Azure.

This course does not require any prior knowledge of AI or Azure services. The basic pre-requisite is just some fundamental understanding of mathematics, along with hands-on activities that involve working with data and running code.

This Microsoft Azure AI Fundamentals training is for Engineers, Data Scientists, Developers, and Solutions Architects who have a basic understanding of AL and ML and Azure services related to them. Like all the Azure Fundamentals certifications, this one is for people with both technical and non-technical backgrounds. That means data science and software engineering experience aren’t mandatory — but Microsoft says some general programming understanding or experience is a plus.

Skills covered:

  • AI workloads and considerations

  • Principles of machine learning on Azure

  • Computer vision workloads on Azure

  • Natural Language Processing (NLP) workloads on Azure

  • Conversational AI workloads on Azure

At the end of this course, students will be awarded a Course Completion Certificate from Uplatz on MICROSOFT AZURE AI FUNDAMENTALS / AI – 900 Training. 

Candidates who are interested in earning this new fundamental level certification must have a basic knowledge of artificial intelligence (AI) and machine learning (ML) and how to implement them on Microsoft Azure.

Areas Covered Describe AI workloads and considerations, identify features of common AI workloads, and guiding principles for responsible AI Describe fundamental principles of machine learning on Azure, identify common machine learning types and scenarios Describe features of computer vision workloads on Azure, identify common types of computer vision solution, identify Azure tools and services for computer vision tasks, and identify Azure tools and services for NLP workloads Describe features of conversational AI workloads on Azure and identify common use cases for conversational AI Azure services for conversational AI

Microsoft Azure AI Fundamentals / AI - 900

Course Details & Curriculum

Course outline

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


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