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AI-900: Microsoft Azure AI Fundamentals

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Prepare for your Microsoft examination with our training course. The AI-900 course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Microsoft certification exam. Pass the Microsoft AI-900 test with flying colors.
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Curriculum For This Course
  • 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. 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 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 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. About the exam 5m

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