Strategic Digital Transformation Course

Strategic Digital Transformation Leadership Program

Hybrid (Online & In-Person)

BHD 800 | SAR 8,000 *excl. VAT

A powerful, multi-institutional program that equips leaders with the strategic direction needed to drive digital transformation, while maintaining strong governance and identifying the right tools to support the journey with confidence and impact.

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Duration

5 Days

Dates

26 - 30 Apr, 2026

Location

Reboot Coding Institute

Earn a Certificate of Achievement

About the Course

The Strategic Digital Transformation Leadership Program is designed for leaders seeking to accelerate their digital transformation journeys. It brings together global academic leaders, technology innovators, and regulatory experts to deliver a holistic, high-impact learning experience.

The program combines strategic frameworks, real-world case studies, and applied learning to build capabilities in digital leadership, AI integration, organizational resilience, and governance. Through expert-led sessions from leading institutions, participants gain global best practices alongside regionally relevant insights to navigate today’s evolving technology landscape. A collaborative, multi-institutional design integrates expertise from academia, industry, and emerging technology providers.

Learning Outcomes

Develop leadership capabilities to drive innovation, culture change, and digital adoption

Apply human-centered and design-thinking approaches to improve products, services, and internal processes

Define a clear strategic direction for digital transformation while balancing innovation, governance, and tool selection

Foster collaboration between business teams, technology providers, and innovation enablers

Gain practical insight into real-world AI applications across operations, decision-making, customer experience, and risk management

Understand how advanced technologies, such as machine learning, automation, and on-chain security tools, enhance threat detection and operational efficiency

Strengthen knowledge of data governance and organizational resilience frameworks

Who is This Course for?

The course is designed for leaders in mid-to-senior-level managers responsible for digital initiatives:

Managers seeking to strengthen digital leadership capability
Innovation, product, strategy, technology, and operations leaders
Change management and transformation leaders
Leaders seeking practical and structured tools to guide digital transformation

Modules

Session 1: Overview of AI and its Role in Fintech

Definition of AI, machine learning, and generative AI

AI applications in financial services: payments, lending, insurance, wealth management

The transformative potential of AI in fintech

Case studies of AI in finance

Session 2: Fundamentals of AI: Key Concepts

Introduction to data-driven decision-making

Key AI technologies: machine learning, natural language processing, and computer vision

Overview of AI lifecycle: data collection, model building, and deployment
Session 3: Machine Learning Fundamentals for Fintech

Supervised vs. unsupervised learning

Application of machine learning models in financial forecasting and risk assessment

Understanding credit scoring models and fraud detection

Session 4: Hands-On Introduction to Machine Learning

Basic hands-on exercises in data analysis and model training (simplified using no-code/low-code tools)

Demo of a machine learning tool in the financial context
Session 5: Introduction to Generative AI

What is generative AI and its core components

Use cases of generative AI in fintech: personalized financial services,= chatbot development, and automated content generation

Session 6: Generative AI and Chatbots in Financial Services

Exploring AI chatbots for customer service and financial advice

Case studies of chatbot deployment in fintech companies
Session 7: The Role of Data in AI and Fintech

Importance of data quality and data governance in AI applications

Introduction to data analytics tools in fintech

Compliance and privacy concerns related to financial data

Session 8: Data-Driven Insights for Financial Decision-Making

Practical example: building basic financial dashboards using data analytics tools

Real-world case study: leveraging AI for personalized financial product recommendations
Session 9: AI for Fraud Detection in Fintech

Machine learning algorithms for detecting fraudulent transactions

AI-driven risk-scoring models

Case study: AI tools used by banks and payment processors

Session 10: Implementing AI for Risk Management

Identifying risks using predictive modeling

AI applications for credit risk, operational risk, and liquidity risk management

Demo: Basic predictive risk model using AI tools
Session 11: AI in Payments

How AI optimizes payment processing systems

Use cases: AI-driven payment gateways and fraud prevention

Case studies: PayPal, Stripe, and AI-driven payment solutions

Session 12: AI for Lending and Credit Scoring

AI’s impact on peer-to-peer lending and microfinance

Credit scoring models powered by AI

Case studies on AI in digital lending platforms
Session 13: Regulatory Landscape for AI in Finance

Overview of financial regulations impacting AI adoption

Compliance with data protection laws (e.g., GDPR, PSD2)

Addressing algorithmic bias and fairness in AI models

Session 14: Ethical AI and Responsible Innovation in Fintech

Importance of transparency, fairness, and accountability in AI models

Ethical considerations in customer data usage

Best practices for deploying ethical AI in fintech
Session 15: Future Trends in AI for Fintech

Trends shaping the future of AI in finance: decentralized finance (DeFi), blockchain, AI-driven asset management

How AI and fintech will evolve in the coming years

Session 16: Capstone Project Presentation and Course Wrap-Up

Team-based or individual capstone projects

Presentations and feedback ○ Course review and next steps

Modules

Understanding Digital Transformation in Financial Services

Human-Centered Digital Design for Financial Services

Enabling Innovation within Governance Structures
Global Case Studies: Digital Transformation in Financial Services

Design Thinking for Financial Innovation

Aligning Digital Initiatives with Business Objectives

Interactive Group Exercise: Building Your Organization’s Digital Vision
Setting the Stage – AI’s Global Inflection Point

AI in Financial Operations and Compliance

Understanding AI Models for Business Decision-Making

Building Strategic AI Frameworks for Financial Organizations
Data Governance and AI Readiness

AI Infrastructure for Regulators

The Future of AI in Financial Services

Interactive Group Exercise – Designing the AI-Ready Organization
Governance Foundations for Digital Transformation in Banks

AI Governance in Banking: From Risk to Responsibility

Integrated Governance: Digital, AI, Risk & Compliance

Capstone Group Exercise: Designing a Governance Framework for a Digital AI Bank

Governance Foundations for Digital Transformation in Banks

The Strategic Digital Transformation Leadership Program was a turning point in my career. As someone in Business Development at The BENEFIT Company, I needed more than theory; I needed a framework I could act on. MENA Innovation Academy delivered exactly that. It shifted my thinking from managing technology to leading through change, and gave me a clear roadmap to drive digital innovation within my organization. Highly recommended for any MENA professional serious about growth.

Amina Hameed

Assistant Manager - Business Development and Services, The BENEFIT Company

Digital transformation is about technology but also about strategy, governance, and responsible adoption. The Strategic Digital Transformation Leadership program delivered on all fronts: from AI and Agentic AI to governance frameworks, it combined international-caliber facilitators with real cross-sector peer exchange. The highlight was the capstone project, where we built an AI governance framework for banking; a genuinely practical exercise in compliance and risk management. A well-structured, high-impact program from a team that clearly knows the MENA fintech landscape.