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5G and Edge Computing for Smart Energy Systems Course

5G and Edge Computing for Smart Energy Systems Course

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title 5G and Edge Computing for Smart Energy Systems Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview

This course explores how 5G and edge computing technologies are revolutionizing smart energy systems. Participants will gain insights into how these technologies enhance grid reliability, optimize energy management, and enable real-time data processing for improved efficiency. The course provides a deep dive into applications, challenges, and future trends of 5G and edge computing in energy operations.

Duration:

5 Days

Target Audience:

  • Energy Sector Engineers and Technologists
  • Smart Grid and Utility Professionals
  • IT and Cybersecurity Experts in Energy
  • Renewable Energy Developers
  • Digital Transformation Leaders in Energy
  • Regulatory and Policy Professionals

Personal Impact:

  • Gain an in-depth understanding of 5G and edge computing in energy systems
  • Develop skills to integrate these technologies for real-time energy management
  • Learn how 5G improves grid resilience, monitoring, and automation
  • Enhance career prospects by acquiring expertise in next-generation energy infrastructure
  • Understand cybersecurity and regulatory aspects of 5G adoption in energy

Organizational Impact:

  • Increased energy grid efficiency and reliability through real-time connectivity
  • Enhanced automation and predictive maintenance in energy operations
  • Improved cybersecurity and data security with edge computing solutions
  • Reduced latency in energy monitoring and control systems
  • Competitive advantage through smart energy system innovations

Course Objectives:

  • Understand the fundamentals of 5G and edge computing in energy systems
  • Explore key applications of 5G-enabled smart grids and energy automation
  • Analyze real-world case studies of 5G and edge computing in the energy sector
  • Learn best practices for integrating 5G and edge computing with renewable energy
  • Identify security risks and regulatory considerations for deploying 5G in energy operations
  • Develop strategic roadmaps for adopting these technologies in energy systems
02

Course Modules

Course Outline

Module 1: Introduction to 5G and Edge Computing in Energy

  • Overview of 5G and edge computing technologies
  • Key benefits of 5G in energy transmission, distribution, and smart grids
  • Role of edge computing in real-time energy data processing and analytics
  • Hands-on Activity: Exploring 5G and edge computing architectures

Module 2: 5G Applications in Smart Grid and Energy Automation

  • 5G-enabled smart grids: real-time monitoring and automated response
  • Advanced metering infrastructure (AMI) and demand-side management
  • Remote monitoring of renewable energy assets using 5G connectivity
  • Hands-on Activity: Case study analysis of 5G-based smart grid deployment

Module 3: Edge Computing for Energy Operations and Efficiency

  • Edge AI and machine learning applications in energy management
  • Reducing latency and improving energy system reliability with edge computing
  • Distributed energy resource (DER) optimization with edge processing
  • Hands-on Activity: Simulating an edge computing-based energy management system

Module 4: Security, Compliance, and Challenges in 5G Adoption

  • Cybersecurity risks and mitigation strategies for 5G and edge computing in energy
  • Regulatory frameworks governing 5G deployment in energy systems
  • Overcoming technical and infrastructure challenges in 5G adoption
  • Hands-on Activity: Risk assessment and compliance strategies for 5G in energy

Module 5: Future Trends and Implementation Strategies

  • Emerging innovations in 5G and edge computing for energy
  • Business models for integrating 5G and edge computing in energy projects
  • Roadmap for successful adoption of 5G-enabled energy solutions
  • Hands-on Activity: Developing a strategic 5G deployment plan for an energy organization
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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Date Cost
2026 Schedules
Nairobi
07 Dec - 11 Dec
KES 99,000 |
$1,500 		Register
Johannesberg
Mombasa
Kigali
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Cape Town
Pretoria
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Naivasha
Kisumu
Arusha
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Pretoria
Cape Town
Johannesberg
Cairo
Arusha
Machakos
Zanzibar
Kisumu
Nakuru
Mombasa
Nairobi
Naivasha
Kampala
Dubai