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AI-900: Microsoft Azure AI Fundamentals Certification
Introduction
Introduction to Course (5:03)
What is Artificial Intelligence (6:09)
Machine Learning Model (10:23)
AI-900 Exam Requirements (5:31)
AI Workloads and Considerations
Common AI workloads (9:45)
Guiding principles for Responsible AI (6:53)
Privacy and Security (5:28)
Transparence and Accountability (5:53)
MS Official website for AI Principles (2:03)
Common ML Types and core ML Components
Common ML Types (7:12)
Dataset Features and Labels (4:28)
Training and Validation Dataset (7:55)
FPR and AUC (7:17)
No-Code ML
Auto ML (5:50)
Demo-Create Azure ML Workspace (6:49)
Use AutoML to Build a no-Code Model (7:26)
ML Designer (5:01)
ML Designer to Build a no-Code Model (14:38)
Computer Vision Workloads on Azure
Common types of Computer Vision Workloads (4:45)
Computer Vision Services in Microsoft Azure (8:10)
Using Computer Vision Service (6:10)
Using Custom Vision Service (7:17)
NLP on Azure
NLP Workloads (7:13)
NLP Services (5:08)
Conversational AI Workloads on Azure
Common Types of Conversational AI workloads (4:50)
Conversational AI Services in Azure (2:50)
Conclusion
Conclusion (0:48)
Teach online with
Transparence and Accountability
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