Mastering Edge Computing Course


Course Cover

Register for this course

We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.


I Want To See More Dates...
I Want To See More Dates...
I Want To See More Dates...
I Want To See More Dates...

Introduction

Edge computing is a revolutionary paradigm that brings computation and data storage closer to the data source, reducing latency and improving real-time decision-making. This comprehensive course will guide you through the world of edge computing, from its fundamentals to advanced applications. You will learn how to design and implement edge computing solutions, leverage the power of IoT devices, and optimize edge infrastructure for a wide range of use cases.

Duration

10 days

Who Should Attend:

  • IT professionals.
  • Software developers.
  • System architects and engineers.
  • IoT  Developers.
  • Organization and Business leaders exploring edge computing for their organizations.

Course Level:

Course Objectives

By the end of this course, you will be able to:

  • Define Edge Computing and explain its significance in modern technology.
  • Differentiate between Edge Computing and Fog Computing, as well as centralized and distributed architectures.
  • Identify key hardware components in Edge Computing, such as edge servers, IoT devices, and gateways.
  • to design and manage networking solutions for Edge Computing, with an understanding of low-latency protocols and the challenges of edge-to-cloud communication.
  • to analyze and discuss various real-world use cases where Edge Computing is applied, including smart cities, industrial automation, healthcare, and autonomous vehicles.

Course Outline

Module 1: Introduction to Edge Computing

  • What is Edge Computing and Understanding the need for edge computing
  • Key concepts and definitions
  • Edge computing vs. cloud computing
  • Real-world use cases

Module 2: Edge Devices and Sensors

  • Types of edge devices and sensors
  • IoT architecture and communication protocols
  • Device management and security
  • Edge device selection criteria

Module 3: Edge Computing Infrastructure

  • Fog Computing vs. Edge Computing
  • Edge computing architecture
  • Edge servers, gateways, and micro data centers
  • Network topology for edge environments
  • Hardware and software requirements

Module 4: Edge Computing Software Stack

  • Edge operating systems and containerization
  • Edge data processing frameworks
  • Orchestration and management tools
  • Security and compliance considerations

Module 5: Developing Edge Applications

  • Edge application development platforms
  • Programming languages and frameworks
  • Building and deploying edge applications
  • Debugging and testing in edge environments

Module 6: Edge Analytics and Machine Learning

  • Edge analytics for real-time insights
  • Machine learning at the edge
  • Model deployment and optimization
  • Anomaly detection and predictive maintenance

Module 7: Security and Privacy in Edge Computing

  • Threats and vulnerabilities in edge environments
  • Edge security best practices
  • Data privacy and compliance regulations
  • Securing communication and data at the edge

Module 8: Edge Computing Use Cases

  • Smart cities and IoT applications.
  • Edge in industrial automation.
  • Healthcare and autonomous vehicles.

Related Courses


Course Administration Details:

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected] or [email protected]

Mobile: +254 715 077 817/+250789621067

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817/+250789621067

Mobile: +254 792516000+254 792516010 , +250789621067 ,or mail [email protected] or [email protected]

PAYMENT

Payment should be transferred to IRES account through bank on or before start of the course.

Send proof of payment to [email protected] or [email protected]


Share this course:


Related Courses

People who took this course also viewed: