AI-900: Microsoft Azure AI Fundamentals

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.

What’s included

85 : Lectures
5h 40m : Duration

$14.99 / $24.99

Introduction and basics on Azure

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

Describe AI workloads and considerations

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

Describe fundamental principles of machine learning on Azure

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

Describe features of computer vision workloads on Azure

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

Describe features of Natural Language Processing and Conversational AI workloads

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

Exam Practice Section

1. About the exam
5m