Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications

Help your organization tap into the power of machine learning with Amazon Web Services. Learn how to use SageMaker and other AWS tools to build AI-based applications.

Introduction

• Tap into the power of artificial intelligence (AI) with AWS
• AI on AWS
• What you should know

1. AI Basics

• AI processing
• Knowledge creation
• AI applications
• AI and cloud computing
• AI and AWS

2. AI Use Cases

• Healthcare
• Finance
• Law enforcement
• Manufacturing
• Education

3. AWS SageMaker

• SageMaker build
• SageMaker train
• SageMaker deploy
• Create a SageMaker notebook
• Create test data and train the model

4. AWS SageMaker Ground Truth

• What's different?
• Use case

5. AI Application Walkthrough

• Requirement
• Design
• Build
• Train
• Deploy

6. Other Considerations

• Performance
• Cost
• Operations
• Security
• Governance

Conclusion

• Next steps