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Foundations of Azure AI
Curriculum
1 Section
34 Lessons
30 hours
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Unit 1 — Foundations of Azure AI
34
1.1
Introduction to Artificial Intelligence
20 mins
1.2
Types of AI Workloads in Azure
20 mins
1.3
Client-Server Applications in AI
20 mins
1.4
Cloud Concepts for AI
20 mins
1.5
AI Workloads in Content Moderation and Personalization
20 mins
1.6
Knowledge Mining and Document Intelligence Workloads
20 mins
1.7
Summary
20 mins
1.8
Exam Essentials
20 mins
1.9
Review Questions
20 mins
1.10
Importance of Responsible AI Principles
20 mins
1.11
Fairness in AI Solutions
20 mins
1.12
Reliability and Safety in AI Solutions
20 mins
1.13
Privacy and Security Considerations
20 mins
1.14
Inclusiveness in AI Solutions
20 mins
1.15
Transparency and Accountability in AI Solutions
20 mins
1.16
Azure Responsible AI Tools and Services
20 mins
1.17
Summary
20 mins
1.18
Exam Essentials
20 mins
1.19
Review Questions
20 mins
1.20
What Are AI Models?
20 mins
1.21
Training, Validating, and Testing AI Models
20 mins
1.22
Data Requirements for AI Models
20 mins
1.23
Pretrained and Custom Models
20 mins
1.24
Deploying AI Models to Azure
20 mins
1.25
Continuous Learning and Model Updating
20 mins
1.26
Summary
20 mins
1.27
Exam Essentials
20 mins
1.28
Review Questions
20 mins
1.29
Understanding Machine Learning
20 mins
1.30
Types of Machine Learning
20 mins
1.31
Core Concepts in Machine Learning
20 mins
1.32
Data Preparation and Feature Engineering
20 mins
1.33
Training and Evaluating ML Models
20 mins
1.34
Overfitting and Underfitting
20 mins
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