What you will learn
By the end of this course, participants will be able to:
- Understand the fundamentals and benefits of edge computing
- Recognize different types of edge devices and sensors
- Implement secure communication protocols in edge networks
- Manage and analyze data generated at the edge
- Develop and deploy edge applications on various platforms
- Design and configure edge networks for optimal performance
- Plan, manage, and implement edge computing projects from conception to completion
Beneficial for
This course is suitable for:
- IT Professionals
- Developers
- Network Engineers
- IoT Enthusiasts
Course Pre-requisite
Participants should have a basic understanding of:
- Basic understanding of networking concepts
- Familiarity with general IT and computer science principles
- No specific programming knowledge is required, but basic coding skills are beneficial
Course Outline
Definition and evolution of edge computing
Key components and architecture of edge computing ecosystems
Use cases and benefits of edge computing implementations
Overview of edge devices and sensors
Types of sensors suitable for edge computing
Connecting edge devices to the network
Common communication protocols in edge computing (MQTT, CoAP, HTTP)
Choosing the right protocol for edge computing applications
Implementing secure and efficient communication in edge networks
Processing and analyzing data at the edge
Basics of edge analytics and machine learning
Extracting real-time insights from edge data
Importance of security in edge computing implementations
Common security threats and vulnerabilities at the edge
Best practices for securing edge devices and networks
Overview of popular edge computing platforms (e.g., AWS IoT Greengrass, Azure IoT Edge)
Selecting and configuring edge computing platforms for specific use cases
Integrating edge platforms with devices and applications
Synergy between edge computing and IoT
Implementing edge computing for real-time IoT data processing
Benefits and challenges of integrating edge computing with IoT
Basics of edge application development
Programming languages and frameworks for edge applications
Building and deploying edge applications on different platforms
Designing and configuring edge networks for optimal performance
Scaling edge networks for large-scale deployments
Implementing edge computing in low-latency and high-throughput scenarios
Planning and scoping edge computing projects
Project management considerations for edge implementations
Hands-on project implementation and showcase
