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Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications
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Overview
This course teaches how to use Azureâs machine learning tools including Azure ML Studio and Cognitive Services to address business problems. Learners create models for classification, regression, and anomaly detection. The curriculum covers deployment and monitoring best practices in Azure environments. Data scientists and engineers gain expertise in applying cloud AI effectively within Microsoft Azure.
Syllabus
Introduction
- Intro to AI on Azure
- AI on Azure
- What you should know
1. AI Basics
- AI processing on Azure
- Knowledge creation on Azure
- AI applications on Azure
- AI and cloud computing on Azure
- AI and Microsoft
2. AI Use Cases
- Healthcare
- Finance
- Law enforcement
- Manufacturing
- Education
3. Azure Machine Learning (AML)
- AML build
- AML train
- AML deploy
- AML demo
4. Azure Search (AS)
- What's different?
- Using cognitive search
- Putting AS to good use
5. AML Application Walkthrough
- Requirement
- Design
- Build
- Train
- Deployment
6. Other Considerations
- Performance
- Cost
- Operations
- Security
- Governance
Conclusion
- Resources
Instructor
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