Overview
Explore edge computing's potential to revolutionize data collection and analytics, enabling new business opportunities through AI-powered devices and cloud integration.
Syllabus
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- Introduction to Edge Computing
-- Definition and key concepts
-- Differences between edge computing and traditional cloud computing
-- Importance and relevance in modern technology
- The Architecture of Edge Computing
-- Components of edge computing systems
-- How edge devices, gateways, and cloud interact
- Benefits of Edge Computing
-- Reduced latency and faster data processing
-- Improved data privacy and security
-- Bandwidth efficiency and cost reduction
- Edge Computing and AI
-- Integration of AI with edge computing
-- Examples of AI-powered edge devices
-- Use cases in various industries
- Business Opportunities with Edge Computing
-- New business models and revenue streams
-- Real-world case studies of successful implementations
-- Challenges and considerations for businesses
- Edge Computing and Data Analytics
-- Enhancements in data collection and real-time analytics
-- Impact on decision-making processes
-- Tools and technologies for edge-based analytics
- Developing Edge Computing Solutions
-- Design principles and best practices
-- Managing data across edge and cloud
-- Security and compliance considerations
- Future Trends in Edge Computing
-- Emerging technologies and innovations
-- The role of 5G and its impact on edge computing
-- Predictions for the future landscape of edge computing
- Course Conclusion
-- Recap of key learnings
-- Q&A and discussion
-- Resources for further exploration
Taught by
Tags
On-Demand
