Strategic Digital Transformation Leadership Program

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.

5 Days

5 Apr - 9 Apr, 2026

Certificate of Achievement

Innovate for Bahrain, A’ali, Bahrain

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About the Course

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

This program blends strategic frameworks, real-world case studies, and applied learning to help leaders build capabilities in digital leadership, AI integration, organizational resilience and governance. Through sessions led by experts from leading institutions, participants gain both global best practices and regionally relevant insights to navigate today’s rapidly evolving technology landscape. Designed with a multi-institutional, collaborative approach, the program carefully integrates diverse expertise from academia, industry, and emerging technology providers.

Learning Outcomes

Develop leadership capabilities to drive innovation, culture change, and digital adoption within their organizations
Develop a clear strategic direction for leading digital transformation initiatives while balancing innovation, governance, and effective tool selection
Foster collaboration between business teams, technology providers, and innovation enablers to drive successful transformation
Apply human-centered and design-thinking approaches to enhance products, services, and internal processes
Gain practical insight into real-world AI applications in operations, decision-making, customer experience, and risk management
Strengthen knowledge of data governance and organizational resilience frameworks
Learn how advanced technologies such as machine learning, automation, and on-chain security tools, enhance threat detection and operational efficiency

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

Who is this Course for?

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