Edge Computing
Master the essentials through 21 focused micro-lessons you can complete at your own pace.
What You’ll Learn
Course Modules
Defining Edge Computing Fundamentals
Introduces the core concepts and principles of edge computing.
Cloud Computing vs. Edge Computing
Compares and contrasts edge computing with traditional cloud computing architectures.
Edge Computing Architectures Explained
Explores various architectural patterns and models for edge deployments.
Edge Device Hardware Considerations
Discusses the types of hardware suitable for edge computing environments.
Edge Network Connectivity Options
Covers the various network technologies used for edge device communication.
Data Processing at the Edge
Explains how data is processed locally on edge devices.
Edge AI and Machine Learning
Focuses on deploying AI and ML models on edge devices.
Edge Security Best Practices
Details crucial security measures for protecting edge deployments.
Edge Data Management Strategies
Explores methods for managing data generated and processed at the edge.
Edge Orchestration and Management
Covers tools and techniques for managing and orchestrating edge devices.
Edge Gateways Functionality
Explains the role and capabilities of edge gateways.
Real-time Data Analytics on Edge
Discusses the importance and implementation of real-time analytics at the edge.
Edge Computing for IoT Devices
Highlights the synergy between edge computing and the Internet of Things.
Edge Computing in Industrial IoT (IIoT)
Explores specific applications and benefits of edge computing in industrial settings.
Edge Computing for Smart Cities
Examines the role of edge computing in developing smart city infrastructure.
Edge Computing in Healthcare
Discusses the transformative applications of edge computing in the healthcare sector.
Edge Computing for Autonomous Vehicles
Investigates the critical need for edge computing in self-driving cars.
Edge Computing Platforms Overview
Introduces popular platforms and services for building edge solutions.
Developing Edge Applications
Covers the fundamental considerations for building applications designed for the edge.
Edge Computing Challenges and Limitations
Addresses common obstacles and constraints encountered in edge deployments.
The Future of Edge Computing
Explores emerging trends and the future trajectory of edge computing.
Ready to Start Learning?
Master Edge Computing at your own pace. Begin with Module 1 and progress through all 21 modules.
Key Takeaways
| Module | What You Learn | Time |
|---|---|---|
| Defining Edge Computing Fundamentals | You will be able to explain what edge computing is and why it is important. | 3 min |
| Cloud Computing vs. Edge Computing | You will be able to identify the key differences and use cases for cloud and edge. | 4 min |
| Edge Computing Architectures Explained | You will be able to describe different edge computing architectural styles. | 4 min |
| Edge Device Hardware Considerations | You will be able to select appropriate hardware for edge computing scenarios. | 3 min |
| Edge Network Connectivity Options | You will be able to evaluate different network connectivity solutions for the edge. | 4 min |
| Data Processing at the Edge | You will be able to understand the benefits of processing data closer to its source. | 3 min |
| Edge AI and Machine Learning | You will be able to explain the concept of running AI/ML at the edge. | 4 min |
| Edge Security Best Practices | You will be able to implement fundamental security practices for edge devices and data. | 5 min |
| Edge Data Management Strategies | You will be able to design strategies for effective edge data management. | 4 min |
| Edge Orchestration and Management | You will be able to understand the principles of managing distributed edge systems. | 4 min |
| Edge Gateways Functionality | You will be able to describe the purpose and function of edge gateways. | 3 min |
| Real-time Data Analytics on Edge | You will be able to identify use cases for real-time edge analytics. | 4 min |
| Edge Computing for IoT Devices | You will be able to explain how edge computing enhances IoT solutions. | 3 min |
| Edge Computing in Industrial IoT (IIoT) | You will be able to understand the impact of edge in IIoT environments. | 4 min |
| Edge Computing for Smart Cities | You will be able to identify edge computing applications in smart city initiatives. | 4 min |
| Edge Computing in Healthcare | You will be able to recognize edge computing's role in modern healthcare. | 3 min |
| Edge Computing for Autonomous Vehicles | You will be able to explain why edge computing is essential for autonomous vehicles. | 4 min |
| Edge Computing Platforms Overview | You will be able to name and briefly describe key edge computing platforms. | 4 min |
| Developing Edge Applications | You will be able to outline the process of developing edge-native applications. | 5 min |
| Edge Computing Challenges and Limitations | You will be able to identify and discuss major challenges in edge computing. | 4 min |
| The Future of Edge Computing | You will be able to anticipate future developments and innovations in edge computing. | 3 min |