Microsoft Azure AI Fundamentals Video Course

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.

# of Students
104
# of Lectures
85
Course Length
5 h
Course Rating
5.0
Price $27.49
Today $24.99

Curriculum for AI-900 Video Course

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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