AI-900: Microsoft Azure AI Fundamentals

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Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.

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Video Courses

Introduction and basics on Azure

Lectures	Duration
1. Introduction to Azure	5m
2. The Azure Free Account	5m
3. Concepts in Azure	4m
4. Quick view of the Azure portal	4m
5. Lab - An example of creating a resource in Azure	11m

1. Introduction to Azure

2. The Azure Free Account

3. Concepts in Azure

4. Quick view of the Azure portal

5. Lab - An example of creating a resource in Azure

11m

Describe AI workloads and considerations

Lectures	Duration
1. Machine Learning and Artificial Intelligence	2m
2. Prediction and Forecasting workloads	1m
3. Anomaly Detection Workloads	1m
4. Natural Language Processing Workloads	2m
5. Computer Vision Workloads	1m
6. Conversational AI Workloads	1m
7. Microsoft Guiding principles for response AI - Accountability	2m
8. Microsoft Guiding principles for response AI - Reliability and Safety	1m
9. Microsoft Guiding principles for response AI - Privacy and Security	1m
10. Microsoft Guiding principles for response AI - Transparency	1m
11. Microsoft Guiding principles for response AI - Inclusiveness	1m
12. Microsoft Guiding principles for response AI - Fairness	1m

1. Machine Learning and Artificial Intelligence

2. Prediction and Forecasting workloads

3. Anomaly Detection Workloads

4. Natural Language Processing Workloads

5. Computer Vision Workloads

6. Conversational AI Workloads

7. Microsoft Guiding principles for response AI - Accountability

8. Microsoft Guiding principles for response AI - Reliability and Safety

9. Microsoft Guiding principles for response AI - Privacy and Security

10. Microsoft Guiding principles for response AI - Transparency

11. Microsoft Guiding principles for response AI - Inclusiveness

12. Microsoft Guiding principles for response AI - Fairness

Describe fundamental principles of machine learning on Azure

Lectures	Duration
1. Section Introduction	1m
2. Why even consider Machine Learning?	4m
3. The Machine Learning Model	9m
4. The Machine Learning Algorithms	9m
5. Different Machine Learning Algorithms	3m
6. Machine Learning Techniques	4m
7. Machine Learning Data - Features and Labels	5m
8. Lab - Azure Machine Learning - Creating a workspace	6m
9. Lab - Building a Classification Machine Learning Pipeline - Your Dataset	11m
10. Lab - Building a Classification Machine Learning Pipeline - Splitting data	7m
11. Optional - Lab - Creating an Azure Virtual Machine	9m
12. Lab - Building a Classification Machine Learning Pipeline - Compute Target	6m
13. Lab - Building a Classification Machine Learning Pipeline - Completion	6m
14. Lab - Building a Classification Machine Learning Pipeline - Results	8m
15. Recap on what's been done so far	2m
16. Lab - Building a Classification Machine Learning Pipeline - Deployment	7m
17. Lab - Installing the POSTMAN tool	4m
18. Lab - Building a Classification Machine Learning Pipeline - Testing	6m
19. Lab - Building a Regression Machine Learning Pipeline - Cleaning Data	9m
20. Lab - Building a Regression Machine Learning Pipeline - Complete Pipeline	3m
21. Lab - Building a Regression Machine Learning Pipeline - Results	3m
22. Feature Engineering	3m
23. Automated Machine Learning	6m
24. Deleting your resources	2m

1. Section Introduction

2. Why even consider Machine Learning?

3. The Machine Learning Model

4. The Machine Learning Algorithms

5. Different Machine Learning Algorithms

6. Machine Learning Techniques

7. Machine Learning Data - Features and Labels

8. Lab - Azure Machine Learning - Creating a workspace

9. Lab - Building a Classification Machine Learning Pipeline - Your Dataset

11m

10. Lab - Building a Classification Machine Learning Pipeline - Splitting data

11. Optional - Lab - Creating an Azure Virtual Machine

12. Lab - Building a Classification Machine Learning Pipeline - Compute Target

13. Lab - Building a Classification Machine Learning Pipeline - Completion

14. Lab - Building a Classification Machine Learning Pipeline - Results

15. Recap on what's been done so far

16. Lab - Building a Classification Machine Learning Pipeline - Deployment

17. Lab - Installing the POSTMAN tool

18. Lab - Building a Classification Machine Learning Pipeline - Testing

19. Lab - Building a Regression Machine Learning Pipeline - Cleaning Data

20. Lab - Building a Regression Machine Learning Pipeline - Complete Pipeline

21. Lab - Building a Regression Machine Learning Pipeline - Results

22. Feature Engineering

23. Automated Machine Learning

24. Deleting your resources

Describe features of computer vision workloads on Azure

Lectures	Duration
1. Section Introduction	2m
2. Azure Cognitive Services	1m
3. Introduction to Azure Computer Vision solutions	3m
4. A look at the Computer Vision service	5m
5. Lab - Setting up Visual Studio 2019	4m
6. Lab - Computer Vision - Basic Object Detection - Visual Studio 2019	12m
7. Lab - Computer Vision - Restrictions example	2m
8. Lab - Computer Vision - Object Bounding Coordinates - Visual Studio 2019	3m
9. Lab - Computer Vision - Brand Image - Visual Studio 2019	2m
10. Lab - Computer Vision - Via the POSTMAN tool	5m
11. The benefits of the Cognitive services	2m
12. Another example on Computer Vision - Bounding Coordinates	2m
13. Lab - Computer Vision - Optical Character Recognition	5m
14. Face API	2m
15. Lab - Computer Vision - Analyzing a Face	3m
16. A quick look at the Face service	3m
17. Lab - Face API - Using Visual Studio 2019	6m
18. Lab - Face API - Using POSTMAN tool	5m
19. Lab - Face Verify API - Using POSTMAN tool	7m
20. Lab - Face Find Similar API - Using POSTMAN tool	8m
21. Lab - Custom Vision	9m
22. A quick look at the Form Recognizer service	2m
23. Lab - Form Recognizer	8m

1. Section Introduction

2. Azure Cognitive Services

3. Introduction to Azure Computer Vision solutions

4. A look at the Computer Vision service

5. Lab - Setting up Visual Studio 2019

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

12m

7. Lab - Computer Vision - Restrictions example

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

9. Lab - Computer Vision - Brand Image - Visual Studio 2019

10. Lab - Computer Vision - Via the POSTMAN tool

11. The benefits of the Cognitive services

12. Another example on Computer Vision - Bounding Coordinates

13. Lab - Computer Vision - Optical Character Recognition

14. Face API

15. Lab - Computer Vision - Analyzing a Face

16. A quick look at the Face service

17. Lab - Face API - Using Visual Studio 2019

18. Lab - Face API - Using POSTMAN tool

19. Lab - Face Verify API - Using POSTMAN tool

20. Lab - Face Find Similar API - Using POSTMAN tool

21. Lab - Custom Vision

22. A quick look at the Form Recognizer service

23. Lab - Form Recognizer

Describe features of Natural Language Processing and Conversational AI workloads

Lectures	Duration
1. Section Introduction	1m
2. Natural Language Processing	3m
3. A quick look at the Text Analytics	1m
4. Lab - Text Analytics API - Key phrases	4m
5. Lab - Text Analytics API - Language Detection	1m
6. Lab - Text Analytics Service - Sentiment Analysis	1m
7. Lab - Text Analytics Service - Entity Recognition	3m
8. Lab - Translator Service	3m
9. A quick look at the Speech Service	1m
10. Lab - Speech Service - Speech to text	4m
11. Lab - Speech Service - Text to speech	1m
12. Language Understanding Intelligence Service	2m
13. Lab - Working with LUIS - Using pre-built domains	8m
14. Lab - Working with LUIS - Adding our own intents	4m
15. Lab - Working with LUIS - Adding Entities	2m
16. Lab - Working with LUIS - Publishing your model	2m
17. QnA Maker service	2m
18. Lab - QnA Maker service	9m
19. Bot Framework	2m
20. Example of Bot Framework in Azure	3m

1. Section Introduction

2. Natural Language Processing

3. A quick look at the Text Analytics

4. Lab - Text Analytics API - Key phrases

5. Lab - Text Analytics API - Language Detection

6. Lab - Text Analytics Service - Sentiment Analysis

7. Lab - Text Analytics Service - Entity Recognition

8. Lab - Translator Service

9. A quick look at the Speech Service

10. Lab - Speech Service - Speech to text

11. Lab - Speech Service - Text to speech

12. Language Understanding Intelligence Service

13. Lab - Working with LUIS - Using pre-built domains

14. Lab - Working with LUIS - Adding our own intents

15. Lab - Working with LUIS - Adding Entities

16. Lab - Working with LUIS - Publishing your model

17. QnA Maker service

18. Lab - QnA Maker service

19. Bot Framework

20. Example of Bot Framework in Azure

Exam Practice Section

Lectures	Duration
1. About the exam	5m

1. About the exam