Udemy

Platform

English

Language

IT Certification

Category

AI-900: Microsoft Azure AI Fundamentals Prep Course

AI-900 Microsoft Azure AI Fundamentals Preparation Course - Includes 100+ practice questions

4.61 (184 reviews)

1337

Students

6 hours

Content

Mar 2021

Last Update
$94.99
Regular Price


What you will learn

Students will be better prepared for the AI-900 certification exam

Students will learn the important aspects for what is required from an exam perspective

Students will be learning Fundamental concepts for Artificial Intelligence


Description

This course is a preparation course for students who want to attempt the Exam AI-900: Microsoft Azure AI Fundamentals

This course has contents for the Exam AI-900

The objectives covered in this course are

  • Describe AI workloads and considerations (15-20%) - Here we will discuss the the basics on AI-based workloads.

  • Describe fundamental principles of machine learning on Azure (30-35%) - Here we will understand what is Machine Learning. We will also look at labs on how to work with the Machine Learning service.

  • Describe features of computer vision workloads on Azure (15-20%) - Here we will look at the different features of the Computer Vision service. We will also look at the Custom Vision service, the Face service and the Form Recognizer service.

  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) - Here we will look at services such the Text Analytics service, the Language Understanding Intelligence Service , the Speech service.

  • Describe features of conversational AI workloads on Azure (15-20%) - Here we will see the basics on the QnA Maker service and the Bot Framework.

This course also has a number of practice questions that will help students get better prepared to take on the exam.

There is also a number of labs available in this course. These labs focus on the different services available in Azure when it comes to Machine Learning and Artificial Intelligence.


Screenshots

AI-900: Microsoft Azure AI Fundamentals Prep Course
AI-900: Microsoft Azure AI Fundamentals Prep Course
AI-900: Microsoft Azure AI Fundamentals Prep Course
AI-900: Microsoft Azure AI Fundamentals Prep Course

Content

Introduction and basics on Azure

Important Course instructions - Important

How is this course is structured

Introduction to Azure

The Azure Free Account

Concepts in Azure

Quick view of the Azure portal

Lab - An example of creating a resource in Azure

PDF Download

Describe AI workloads and considerations

Machine Learning and Artificial Intelligence

Prediction and Forecasting workloads

Anomaly Detection Workloads

Natural Language Processing Workloads

Computer Vision Workloads

Conversational AI Workloads

Microsoft Guiding principles for response AI - Accountability

Microsoft Guiding principles for response AI - Reliability and Safety

Microsoft Guiding principles for response AI - Privacy and Security

Microsoft Guiding principles for response AI - Transparency

Microsoft Guiding principles for response AI - Inclusiveness

Microsoft Guiding principles for response AI - Fairness

Section Quiz

Describe fundamental principles of machine learning on Azure

Section Introduction

Why even consider Machine Learning?

The Machine Learning Model

The Machine Learning Algorithms

Different Machine Learning Algorithms

Machine Learning Techniques

Machine Learning Data - Features and Labels

Lab - Azure Machine Learning - Creating a workspace

Lab - Building a Classification Machine Learning Pipeline - Your Dataset

Lab - Building a Classification Machine Learning Pipeline - Splitting data

Optional - Lab - Creating an Azure Virtual Machine

Lab - Building a Classification Machine Learning Pipeline - Compute Target

Lab - Building a Classification Machine Learning Pipeline - Completion

Lab - Building a Classification Machine Learning Pipeline - Results

Recap on what's been done so far

Lab - Building a Classification Machine Learning Pipeline - Deployment

Lab - Installing the POSTMAN tool

Lab - Building a Classification Machine Learning Pipeline - Testing

Lab - Building a Classification Machine Learning Pipeline - Testing - Resources

Lab - Building a Regression Machine Learning Pipeline - Cleaning Data

Lab - Building a Regression Machine Learning Pipeline - Complete Pipeline

Lab - Building a Regression Machine Learning Pipeline - Results

Feature Engineering

Automated Machine Learning

Deleting your resources

Section Quiz

Describe features of computer vision workloads on Azure

Section Introduction

Azure Cognitive Services

Introduction to Azure Computer Vision solutions

A look at the Computer Vision service

Lab - Setting up Visual Studio 2019

Lab - Computer Vision - Basic Object Detection - Visual Studio 2019

Lab - Computer Vision - Basic Object Detection - Visual Studio 2019 - Resources

Lab - Computer Vision - Restrictions example

Lab - Computer Vision - Object Bounding Coordinates - Visual Studio 2019

Lab - Computer Vision - Object Bounding Coordinates-Visual Studio 2019-Resources

Lab - Computer Vision - Brand Image - Visual Studio 2019

Lab - Computer Vision - Brand Image - Visual Studio 2019 - Resources

Lab - Computer Vision - Via the POSTMAN tool

The benefits of the Cognitive services

Another example on Computer Vision - Bounding Coordinates

Another example on Computer Vision - Bounding Coordinates - Resources

Lab - Computer Vision - Optical Character Recognition

Face API

Lab - Computer Vision - Analyzing a Face

A quick look at the Face service

Lab - Face API - Using Visual Studio 2019

Lab - Face API - Using Visual Studio 2019 - Resources

Lab - Face API - Using POSTMAN tool

Lab - Face Verify API - Using POSTMAN tool

Lab - Face Find Similar API - Using POSTMAN tool

Lab - Custom Vision

A quick look at the Form Recognizer service

Lab - Form Recognizer

Section Quiz

Describe features of Natural Language Processing and Conversational AI workloads

Section Introduction

Natural Language Processing

A quick look at the Text Analytics

Lab - Text Analytics API - Key phrases

Lab - Text Analytics API - Key phrases - Resources

Lab - Text Analytics API - Language Detection

Lab - Text Analytics Service - Sentiment Analysis

Lab - Text Analytics Service - Entity Recognition

Lab - Text Analytics Service - Entity Recognition - Resources

Lab - Translator Service

A quick look at the Speech Service

Lab - Speech Service - Speech to text

Lab - Speech Service - Speech to text - Resources

Lab - Speech Service - Text to speech

Lab - Speech Service - Text to speech - Resources

Language Understanding Intelligence Service

Lab - Working with LUIS - Using pre-built domains

Lab - Working with LUIS - Adding our own intents

Lab - Working with LUIS - Adding Entities

Lab - Working with LUIS - Publishing your model

QnA Maker service

Lab - QnA Maker service

Bot Framework

Example of Bot Framework in Azure

Section Quiz

Exam Practice Section

About the exam

Practice Test 1

Practice Test 2



Reviews

I
Ian25 March 2021

Thanks Alan R for this excellent course. Was able to crack my exam...The systematic explanation was great.. Thanks a ton... Learners: This course is really good. Dont go by the negative ratings.... Very helpful support team as well...

W
Wilson24 March 2021

Maybe it's intentionally done to accomodate all students, it seems the speaker is making an effort to speak slowly.... so listening to the lesson in 1.5x speed so it feels like a flow... Thanks,

H
Harshit11 March 2021

EXcellent course Alan.Love your courses,Request you to make powerapps,powerbi and power platform courses also.

P
Pam1 March 2021

Great course again. Meets expectations. Covers all the topics required to clear AI-900 exam. Labs are a bonus to understand the concepts thoroughly.

R
Raghu17 February 2021

Labs are easy to follow and gives more knowledge, not only for exam. Short videos are good here, without loosing interest



3829288

Udemy ID

2/6/2021

Course created date

2/15/2021

Course Indexed date
Bot
Course Submitted by