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AI-900 Azure AI Fundamentals Training Bootcamp 2021

Enrolled: 122 students
Duration: 5 hours
Lectures: 72
Video: 5 hours
Level: Beginner
AI-900

AI-900 – COURSE OVERVIEW

 
Welcome! I’m here to help you prepare and PASS the newest Microsoft Azure AI Fundamentals AI-900 exam.
 
Beginners welcome: no need to know anything about Microsoft Azure!
 
This is going to be a 5 hours long journey, and passing the AI-900 AI Fundamentals exam will be worth it!
 

HOW THIS AI-900 COURSE IS DIFFERENT

 
The course is 100% aligned to AI-900 official exam guide. I have designed an easy structure so that you can study at a pace that suits you best. I start with the basics to get everyone up to speed, and continue with each exam knowledge domain.
 
Using hands-on labs will improve memory retention and maximise knowledge. So, the course includes many hands-on guided labs, to help you build a practical skillset. After completing this course, you’ll be ready to pass the AI-900 exam first time, with confidence.
 
This course is different and very much unique, let’s see why.
 
  • We will spend over 5 hours discussing Azure in depth.
  • It covers in-depth all the new topics on the Microsoft Azure AI Fundamentals AI-900 exam
  • Packed with practical knowledge on how to deploy Azure AI and ML fundamental services
  • You’ll learn how to prepare for the AI-900 exam AND how to prepare for the real world
  • It’s a logical progression of topics, not a list of random services
  • Fast-paced and to the point
  • All 250+ slides available as downloadable PDF
 
Here’s what we’ll learn to PASS the Microsoft AI-900 AI Fundamentals exam:
 
  • Artificial Intelligence (AI) and Machine Learning (ML) fundamentals
  • Responsible AI Guiding Principles, such as: fairness, reliability and safety, transparency, and more.
  • Deploy new ML model using Azure ML Studio – hands-on lab series
  • Deploy new ML model using Azure ML Designer – hands-on lab series
  • Cognitive services on Azure: Computer Vision, Face service, Azure Forms Recognizer and more.
  • Natural Language Processing on Azure: Text Analytics, Azure Speech, Translation services, and more.
  • Conversational AI on Azure: Azure QnA Maker and Azure Bot services
 

IN A NUTSHELL …

 
AI-900 Training Bootcamp course is full of opportunities to apply your knowledge:
 
  • Hands-on lab lectures in every module
  • Quizzes at the end of every module
  • We’ll be using the Azure Free Tier most of the time
 

This course also comes with:

 
  • Lifetime access to all future updates
  • A responsive instructor in the Q&A Section
  • Course Audiobook to Learn on the go
  • All course slides available for download
 

MONEY-BACK GUARANTEE

 
I am fully confident in the value of this Training Bootcamp. So, this course comes with a 14-day money-back guarantee. Fast-track your Azure exam success and get lifetime access now – risk-free!
 
Ready for first lecture? Click here to start.
 
Going for AZ-900 exam as well? Check out my AZ-900 Training Bootcamp here.

Course Introduction

1
Course Introduction and Content Overview

Download Course Supplemental Material - Important Information

1
Download Course Resources & Important Notes

Module 1: Course Introduction

1
1.1 Module Introduction
2
1.2 Create Your Free Azure Account
3
1.3 Hands-on Lab – Azure Portal Navigation Overview
4
1.4 Hands-on Lab – Create a Billing Alarm for Your Azure Account
5
1.5 AI-900 Exam Format & Official Blueprint
6
1.6 Module Completion & Exam Hints

Module 2: Introduction to AI. AI on Azure Overview

1
2.1 Module Introduction
2
2.2 What is AI?
3
2.3 Introduction to Machine Learning
4
2.4 Anomaly Detection in Azure
5
2.5 Computer Vision in Azure
6
2.6 Natural Language Processing in Azure
7
2.7 Conversational AI in Azure
8
2.8 Module Completion & Exam Hints

Module 3: Responsible AI Guiding Principles

1
3.1 Module Introduction
2
3.2 Responsible AI – Fairness Principle
3
3.3 Responsible AI – Reliability and Safety Principle
4
3.4 Responsible AI – Privacy and Security Principle
5
3.5 Responsible AI – Inclusiveness Principle
6
3.6 Responsible AI – Transparency Principle
7
3.7 Responsible AI – Accountability Principle
8
3.8 Module Completion & Exam Hints

Module 4: Machine Learning (ML) on Azure

1
4.1 Module Introduction
2
4.2 Machine Learning Types Overview
3
4.3 Running Machine Learning (ML) in Azure
4
4.4 Hands-on Lab 1.1 – Auto ML in Azure ML Studio | Create Azure ML Workspace
5
4.5 Hands-on Lab 1.2 – Auto ML in Azure ML Studio | Create and Load Dataset
6
4.6 Hands-on Lab 1.3 – Auto ML in Azure ML Studio | Configure Run
7
4.7 Hands-on Lab 1.4 – Auto ML in Azure ML Studio | Models Overview
8
4.8 Hands-on Lab 1.5 – Auto ML in Azure ML Studio | Deploy the Best Model
9
4.9 Hands-on Lab 2.1 – Azure ML Designer | Create Azure ML Workspace
10
4.10 Hands-on Lab 2.2 – Azure ML Designer | Create Pipeline & Compute Target
11
4.11 Hands-on Lab 2.3 – Azure ML Designer | Import & Prepare the Data
12
4.12 Hands-on Lab 2.4 – Azure ML Designer | Train a ML model
13
4.13 Hands-on Lab 2.5 – Azure ML Designer | Submit Pipeline and Evaluate Results
14
4.14 Hands-on Lab 2.6 – Azure ML Designer | Create Real-time Pipeline
15
4.15 Hands-on Lab 2.7 – Azure ML Designer | Create Inference Cluster & Deploy Endpoint
16
4.16 Hands-on Lab 2.8 – Azure ML Designer | Test Real-time Endpoint
17
4.17 Module Completion & Exam Hints

Module 5: Cognitive Services on Azure

1
5.1 Module Introduction
2
5.2 Cognitive Services Overview
3
5.3 Image Analysis with Computer Vision
4
5.4 Hands-on Lab – Deploy a Computer Vision resource
5
5.5 Hands-on Lab – Deploy a Cognitive Services resource
6
5.6 Custom Vision Service Overview
7
5.7 Hands-on Lab – Custom Vision Overview | Train new ML model with Custom Vision
8
5.8 Reading text with Computer Vision
9
5.9 Analyzing faces with Azure Face Service
10
5.10 Analyzing documents with Azure Forms Recognizer
11
5.11 Demo – Computer Vision on Azure
12
5.12 Module Completion & Exam Hints

Module 6: Natural Language Processing (NLP) on Azure

1
6.1 Module Introduction
2
6.2 Natural Language Processing (NLP) on Azure Overview
3
6.3 Text Analytics Service Capabilities
4
6.4 Hands-on Lab & Demo – Azure Text Analytics Service
5
6.5 Speech Recognition and Synthesis Overview
6
6.6 Hands-on Lab & Demo – Azure Speech Service
7
6.7 Text and Speech Translation Overview
8
6.8 Hands-on Lab and Demo – Text and Speech Translation
9
6.9 Language Understanding Overview
10
6.10 Hands-on Lab & Demo – Language Understanding
11
6.11 Module Completion & Exam Hints

Module 7: Conversational AI on Azure

1
7.1 Module Introduction
2
7.2 Introduction to Conversational AI
3
7.3 Azure QnA Maker and Azure Bot Service Overview
4
7.4 Hands-on Lab – Create QnA Maker Knowledge base
5
7.5 Hands-on Lab – Create and Test a Bot
6
7.6 Module Completion & Exam Hints

Module 8: Azure Account Cleanup

1
8.1 Let’s cleanup your Azure Account

Module 9: Course Summary | Booking AI-900 Exam

1
9.1 Booking Microsoft Azure AI Fundamentals AI-900 Exam

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