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IoT and Artificial Intelligence for Energy Optimization Course

IoT and Artificial Intelligence for Energy Optimization Course

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

Course Overview

Course Summary
Course Title IoT and Artificial Intelligence for Energy Optimization 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 the integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies to optimize energy efficiency, enhance grid management, and enable smart energy solutions. Participants will gain insights into IoT-enabled energy monitoring, AI-driven predictive analytics, machine learning applications in demand-side management, and cybersecurity considerations. Through case studies and hands-on exercises, attendees will develop the technical and strategic skills needed to leverage IoT and AI for sustainable and cost-effective energy solutions.

Duration:

5 Days

Target Audience:

  • Energy Managers and Engineers
  • Smart Grid and Renewable Energy Professionals
  • Utility Operators and System Integrators
  • Data Scientists and AI Specialists in Energy
  • Policy Makers and Regulators in Digital Energy
  • IT and Cybersecurity Experts in Energy Systems
  • Consultants in Digital Transformation and Energy Optimization

Personal Impact:

  • Gain hands-on knowledge of IoT applications in energy systems
  • Enhance skills in AI-driven predictive analytics for energy efficiency
  • Improve ability to integrate smart sensors and real-time monitoring solutions
  • Strengthen expertise in machine learning models for demand-side management
  • Develop strategies for cybersecurity and data protection in digital energy systems

Organizational Impact:

  • Increased energy efficiency through AI-based optimization models
  • Enhanced decision-making with real-time IoT-enabled energy insights
  • Improved asset management and operational reliability in energy networks
  • Strengthened cybersecurity and resilience in digital energy infrastructure
  • Greater cost savings through automation and demand-side energy management

Course Objectives:

  • Understand IoT architecture and its role in energy monitoring and management
  • Explore AI and machine learning techniques for predictive analytics in energy systems
  • Learn how to apply real-time data analytics to optimize energy consumption
  • Analyze case studies of IoT and AI implementation in smart energy systems
  • Address cybersecurity risks and data governance in IoT-enabled energy networks
  • Examine regulatory and ethical considerations in AI-driven energy solutions
02

Course Modules

Course Outline

Module 1: Introduction to IoT and AI in Energy Systems

  • Overview of IoT and AI technologies
  • How IoT and AI transform energy management and optimization
  • Key components: smart sensors, edge computing, and cloud analytics
  • Case Study: Smart energy monitoring systems in industrial facilities

Module 2: IoT-Enabled Energy Monitoring and Control

  • Smart meters and real-time energy tracking
  • IoT networks and communication protocols (LoRaWAN, Zigbee, 5G)
  • Data acquisition, processing, and visualization for energy analytics
  • Hands-on Activity: Setting up an IoT-based energy monitoring system

Module 3: AI and Machine Learning for Energy Optimization

  • AI techniques for demand forecasting and energy load balancing
  • Predictive maintenance for energy assets using machine learning
  • Automated demand-side response using AI algorithms
  • Hands-on Activity: Training an AI model for energy demand prediction

Module 4: Cybersecurity and Data Protection in IoT-Based Energy Systems

  • Security threats and vulnerabilities in IoT energy networks
  • Best practices for data encryption, authentication, and privacy
  • AI-driven cybersecurity solutions for smart energy systems
  • Case Study: Securing smart grid and IoT-enabled power infrastructure

Module 5: Future Trends, Regulations, and Implementation Strategies

  • Emerging trends: digital twins, blockchain, and AI-driven energy trading
  • Regulatory frameworks for IoT and AI in energy applications
  • Business models for AI-powered energy optimization solutions
  • Hands-on Activity: Developing an IoT and AI-driven energy optimization strategy
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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Kigali
Addis Ababa
Kuala Lumpur
Accra
Pretoria
Cape Town
Johannesberg
Cairo
Arusha
Machakos
Zanzibar
Kisumu
Nakuru
Mombasa
Nairobi
Naivasha
Kampala
Dubai