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Starts 8 June 2025 06:08
Ends 8 June 2025
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Real World AI - Tackling Dynamic MLOps Challenges for Edge Devices
Explore how integrated platforms for data, connectivity, and over-the-air software delivery solve unique challenges in deploying Edge AI across remote, cellular-connected devices.
EDGE AI FOUNDATION
via YouTube
EDGE AI FOUNDATION
2544 Courses
1 hour
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Overview
Explore how integrated platforms for data, connectivity, and over-the-air software delivery solve unique challenges in deploying Edge AI across remote, cellular-connected devices.
Syllabus
- Introduction to Edge AI
- MLOps Fundamentals
- Integrated Platforms for Edge AI
- Data Pipeline Design for Edge Devices
- Over-the-Air (OTA) Software Delivery
- Edge AI Model Deployment
- Monitoring and Maintaining Edge AI Systems
- Security and Compliance in Edge AI
- Case Studies and Real-World Applications
- Hands-on Labs and Projects
- Final Assessment and Course Wrap-Up
Overview of Edge Computing and AI
Benefits and Challenges of Edge AI
Introduction to MLOps Concepts
The MLOps Lifecycle
Data Integration and Management
Connectivity Solutions for Remote and Cellular Devices
Data Collection and Preprocessing Techniques
Real-Time Data Management Strategies
Principles of OTA Updates for Edge Devices
Ensuring Security and Reliability in Software Deployment
Architectures for Edge AI Models
Tools and Frameworks for Edge Model Management
Performance Metrics and Monitoring Techniques
Troubleshooting and Incident Management
Addressing Security Risks in Edge Deployments
Legal and Regulatory Considerations
Industry-Specific Examples of Edge AI
Lessons Learned from Successful Deployments
Building a Simple Edge AI Application
Over-the-Air Deployment Simulation
Review of Key Concepts
Future Trends in Edge AI and MLOps
Subjects
Computer Science
