Introduction

Grid Digitalization Strategies Training Course provides a practical and forward-looking understanding of how modern power systems can use digital transformation, smart grid technologies, artificial intelligence (AI), Internet of Things (IoT), advanced analytics, automation, cloud computing, edge computing, digital twins, cybersecurity, and data-driven decision-making to create more resilient, flexible, efficient, and customer-centric electricity networks. The course explores how utilities and energy organizations can modernize legacy infrastructure through Advanced Metering Infrastructure (AMI), SCADA modernization, Distribution Management Systems (DMS), Energy Management Systems (EMS), Geographic Information Systems (GIS), DERMS, digital substations, predictive maintenance, real-time monitoring, and intelligent grid automation.

Participants will develop the strategic and technical capabilities required to design and implement effective grid digitalization roadmaps while addressing interoperability, data governance, operational technology (OT) cybersecurity, regulatory requirements, investment priorities, and organizational change. Through practical exercises and industry case studies, learners will examine how digital technologies support renewable energy integration, distributed energy resources (DERs), electric vehicle (EV) adoption, demand response, grid resilience, predictive operations, outage management, and decarbonization. By the end of the training, participants will be equipped to evaluate digital maturity, prioritize transformation initiatives, build business cases, and develop actionable strategies for the next-generation intelligent power grid.

Programme Curriculum

Grid Digitalization Strategies Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of the course, participants will be able to:

Understand the strategic foundations of power-grid digital transformation and smart-grid modernization.
Assess utility digital maturity and identify high-value transformation opportunities.
Develop a practical grid digitalization roadmap aligned with business and regulatory priorities.
Apply AI, machine learning, and advanced analytics to grid planning and operations.
Evaluate IoT, edge computing, sensors, and real-time monitoring for grid visibility.
Understand AMI, smart meters, DMS, EMS, SCADA, GIS, and DERMS integration strategies.
Design approaches for digital substations and intelligent grid automation.
Apply predictive maintenance and asset-performance management techniques.
Strengthen OT/IT cybersecurity, cyber resilience, and critical-infrastructure protection.
Evaluate digital solutions for renewable energy, DER, battery storage, and EV integration.
Use digital twins and simulation to improve grid planning and operational decisions.
Build business cases using ROI, cost-benefit analysis, KPIs, and value-realization frameworks.
Develop organizational strategies for change management, digital governance, workforce transformation, and continuous innovation.

Target Audience

Utility executives and senior energy managers
Power-grid planning and operations professionals
Smart-grid and digital-transformation specialists
Electrical, power-system, and protection engineers
SCADA, EMS, DMS, AMI, and OT/IT professionals
Energy regulators, policymakers, and government officials
Renewable energy, DER, EV, and energy-storage professionals
Technology consultants, project managers, and digital-strategy leaders

Course Modules

Module 1: Grid Digitalization & Smart Grid Transformation

Digital transformation drivers across transmission and distribution networks
Smart-grid architecture, digital maturity, and transformation frameworks
OT/IT convergence and data-centric utility operating models
Digitalization challenges in legacy grid infrastructure
Case Study: Utility smart-grid transformation and digital maturity assessment

Module 2: Digital Grid Architecture & Advanced Technologies

IoT, edge computing, cloud platforms, APIs, and advanced communications
Digital substations and intelligent electronic devices
SCADA, EMS, DMS, GIS, and DERMS ecosystem integration
Interoperability, standards, data architecture, and system integration
Case Study: Designing a connected digital distribution-grid architecture

Module 3: AI, Data Analytics & Digital Intelligence

Artificial intelligence and machine learning applications in grid operations
Predictive analytics for demand, faults, assets, and power quality
Real-time data platforms and data-driven decision intelligence
Generative AI opportunities and limitations in energy operations
Case Study: AI-enabled predictive maintenance and outage-risk forecasting

Module 4: Advanced Metering & Customer Digitalization

Advanced Metering Infrastructure (AMI) and smart-meter ecosystems
Real-time consumption data and customer analytics
Demand response, dynamic pricing, and prosumer engagement
Digital customer platforms and energy-management services
Case Study: Smart-meter deployment and data-driven demand management

Module 5: DER, Renewables, EVs & Grid Flexibility

Integrating distributed energy resources, solar PV, wind, and battery storage
DERMS and distributed-grid visibility
Electric vehicle (EV) charging and vehicle-to-grid strategies
Demand flexibility, virtual power plants, and grid balancing
Case Study: Managing high renewable and EV penetration on a distribution network

Module 6: Digital Twins, Automation & Predictive Maintenance

Digital twin concepts for assets, substations, and network planning
Condition monitoring and predictive asset management
Intelligent automation and autonomous grid operations
Simulation, scenario analysis, and operational optimization
Case Study: Digital twin deployment for substation asset-performance management

Module 7: Grid Cybersecurity, Resilience & Data Governance

OT cybersecurity and critical-energy-infrastructure protection
Cyber risk assessment and security-by-design principles
Identity, access, encryption, monitoring, and incident response
Data governance, privacy, interoperability, and regulatory compliance
Case Study: Building cyber resilience for a digitally connected utility

Module 8: Digital Strategy, Investment & Implementation Roadmap

Developing a grid digitalization strategy and transformation roadmap
Prioritizing initiatives using value, risk, complexity, and readiness
Business cases, ROI, KPIs, benefits realization, and investment planning
Digital governance, workforce skills, change management, and innovation
Case Study: Creating a five-year digital-grid transformation roadmap for a utility

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000