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- AI-900 (Microsoft Azure AI Fundamentals)
AI-900: Microsoft Azure AI Fundamentals
Your Microsoft AI-900 exam is just around the corner, right? So, it's high time to find an effective preparation tool! Our training course is what you really need! This is a series of videos led by the experienced IT instructors who will provide you with a detailed overview of the AI-900 certification test. Ace your Microsoft AI-900 at the first attempt and obtain the Microsoft Azure AI Fundamentals credential with ease.
104
85
5 h
5.0
Price $27.49
Today $24.99
Curriculum for AI-900 Video Course
1. Introduction and...
5 Lectures
00:29:00
2. Describe AI...
12 Lectures
00:15:00
3. Describe fundamental...
24 Lectures
02:13:00
4. Describe features of...
23 Lectures
01:41:00
5. Describe features of...
20 Lectures
00:57:00
6. Exam Practice Section
1 Lectures
00:05:00
Introduction and basics on Azure
| Video Name | Time | |
|---|---|---|
| 1. Introduction to Azure | 5:00 | |
| 2. The Azure Free Account | 5:00 | |
| 3. Concepts in Azure | 4:00 | |
| 4. Quick view of the Azure portal | 4:00 | |
| 5. Lab - An example of creating a resource in Azure | 11:00 |
| Video Name | Time | |
|---|---|---|
| 1. Machine Learning and Artificial Intelligence | 2:00 | |
| 2. Prediction and Forecasting workloads | 1:00 | |
| 3. Anomaly Detection Workloads | 1:00 | |
| 4. Natural Language Processing Workloads | 2:00 | |
| 5. Computer Vision Workloads | 1:00 | |
| 6. Conversational AI Workloads | 1:00 | |
| 7. Microsoft Guiding principles for response AI - Accountability | 2:00 | |
| 8. Microsoft Guiding principles for response AI - Reliability and Safety | 1:00 | |
| 9. Microsoft Guiding principles for response AI - Privacy and Security | 1:00 | |
| 10. Microsoft Guiding principles for response AI - Transparency | 1:00 | |
| 11. Microsoft Guiding principles for response AI - Inclusiveness | 1:00 | |
| 12. Microsoft Guiding principles for response AI - Fairness | 1:00 |
| Video Name | Time | |
|---|---|---|
| 1. Section Introduction | 1:00 | |
| 2. Why even consider Machine Learning? | 4:00 | |
| 3. The Machine Learning Model | 9:00 | |
| 4. The Machine Learning Algorithms | 9:00 | |
| 5. Different Machine Learning Algorithms | 3:00 | |
| 6. Machine Learning Techniques | 4:00 | |
| 7. Machine Learning Data - Features and Labels | 5:00 | |
| 8. Lab - Azure Machine Learning - Creating a workspace | 6:00 | |
| 9. Lab - Building a Classification Machine Learning Pipeline - Your Dataset | 11:00 | |
| 10. Lab - Building a Classification Machine Learning Pipeline - Splitting data | 7:00 | |
| 11. Optional - Lab - Creating an Azure Virtual Machine | 9:00 | |
| 12. Lab - Building a Classification Machine Learning Pipeline - Compute Target | 6:00 | |
| 13. Lab - Building a Classification Machine Learning Pipeline - Completion | 6:00 | |
| 14. Lab - Building a Classification Machine Learning Pipeline - Results | 8:00 | |
| 15. Recap on what's been done so far | 2:00 | |
| 16. Lab - Building a Classification Machine Learning Pipeline - Deployment | 7:00 | |
| 17. Lab - Installing the POSTMAN tool | 4:00 | |
| 18. Lab - Building a Classification Machine Learning Pipeline - Testing | 6:00 | |
| 19. Lab - Building a Regression Machine Learning Pipeline - Cleaning Data | 9:00 | |
| 20. Lab - Building a Regression Machine Learning Pipeline - Complete Pipeline | 3:00 | |
| 21. Lab - Building a Regression Machine Learning Pipeline - Results | 3:00 | |
| 22. Feature Engineering | 3:00 | |
| 23. Automated Machine Learning | 6:00 | |
| 24. Deleting your resources | 2:00 |
| Video Name | Time | |
|---|---|---|
| 1. Section Introduction | 2:00 | |
| 2. Azure Cognitive Services | 1:00 | |
| 3. Introduction to Azure Computer Vision solutions | 3:00 | |
| 4. A look at the Computer Vision service | 5:00 | |
| 5. Lab - Setting up Visual Studio 2019 | 4:00 | |
| 6. Lab - Computer Vision - Basic Object Detection - Visual Studio 2019 | 12:00 | |
| 7. Lab - Computer Vision - Restrictions example | 2:00 | |
| 8. Lab - Computer Vision - Object Bounding Coordinates - Visual Studio 2019 | 3:00 | |
| 9. Lab - Computer Vision - Brand Image - Visual Studio 2019 | 2:00 | |
| 10. Lab - Computer Vision - Via the POSTMAN tool | 5:00 | |
| 11. The benefits of the Cognitive services | 2:00 | |
| 12. Another example on Computer Vision - Bounding Coordinates | 2:00 | |
| 13. Lab - Computer Vision - Optical Character Recognition | 5:00 | |
| 14. Face API | 2:00 | |
| 15. Lab - Computer Vision - Analyzing a Face | 3:00 | |
| 16. A quick look at the Face service | 3:00 | |
| 17. Lab - Face API - Using Visual Studio 2019 | 6:00 | |
| 18. Lab - Face API - Using POSTMAN tool | 5:00 | |
| 19. Lab - Face Verify API - Using POSTMAN tool | 7:00 | |
| 20. Lab - Face Find Similar API - Using POSTMAN tool | 8:00 | |
| 21. Lab - Custom Vision | 9:00 | |
| 22. A quick look at the Form Recognizer service | 2:00 | |
| 23. Lab - Form Recognizer | 8:00 |
| Video Name | Time | |
|---|---|---|
| 1. Section Introduction | 1:00 | |
| 2. Natural Language Processing | 3:00 | |
| 3. A quick look at the Text Analytics | 1:00 | |
| 4. Lab - Text Analytics API - Key phrases | 4:00 | |
| 5. Lab - Text Analytics API - Language Detection | 1:00 | |
| 6. Lab - Text Analytics Service - Sentiment Analysis | 1:00 | |
| 7. Lab - Text Analytics Service - Entity Recognition | 3:00 | |
| 8. Lab - Translator Service | 3:00 | |
| 9. A quick look at the Speech Service | 1:00 | |
| 10. Lab - Speech Service - Speech to text | 4:00 | |
| 11. Lab - Speech Service - Text to speech | 1:00 | |
| 12. Language Understanding Intelligence Service | 2:00 | |
| 13. Lab - Working with LUIS - Using pre-built domains | 8:00 | |
| 14. Lab - Working with LUIS - Adding our own intents | 4:00 | |
| 15. Lab - Working with LUIS - Adding Entities | 2:00 | |
| 16. Lab - Working with LUIS - Publishing your model | 2:00 | |
| 17. QnA Maker service | 2:00 | |
| 18. Lab - QnA Maker service | 9:00 | |
| 19. Bot Framework | 2:00 | |
| 20. Example of Bot Framework in Azure | 3:00 |
| Video Name | Time | |
|---|---|---|
| 1. About the exam | 5:00 |
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