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
video-file-formats

$14.99/24.99


Lectures
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

Lectures
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

Lectures
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

Lectures
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

Lectures
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

Lectures
1. About the exam- 5m

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