AI-DRIVEN DIGITAL TRANSFORMATION
Certified Digital Transformation Professional
The Certified Digital Transformation Professional (CDTP) is an internationally recognized program designed to equip professionals with advanced knowledge and practical frameworks to lead digital transformation initiatives across industries.
Delivered in collaboration with CASUGOL, a global leader in digital transformation education, this course empowers participants with real-world strategies to drive innovation, optimize operations, and create customer-centric digital experiences using AI and emerging technologies.
Upcoming Training Dates
May 2025
June 2025
July 2025
August 2025
* This training schedule is subject to change
- A multiple-choice exam (70% passing score)
- Hands-on assignments and group activities
- Retake available if not passed on first attempt
- Enhance strategic thinking and leadership
- Gain in-demand AI and digital transformation skills
- Strengthen your CV with an internationally recognized credential
- Join a global network of 72,000+ CASUGOL-certified professionals
- Bridge business and tech with confidence
- Duration: 16 Hours (2 Full Days)
- Format: Online or In-Person Delivery
- Language: English
- Certification: Certificate of Competency upon passing final exam
Inquiry Form
This course is ideal for:
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Business Leaders, CEOs, CTOs, CIOs, Directors
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System Analysts, IT Professionals, Engineers
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Consultants, Project Managers
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Marketing & Sales Professionals
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Entrepreneurs, Startups & BPO Professionals
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Anyone seeking career growth in digital transformation
- Understand the core components of AI-driven digital transformation
- Learn how to design and implement scalable digital strategies using the CASUGOL Method™
- Apply emerging technologies such as Generative AI, Cloud, IoT and Blockchain
- Lead cross-functional teams and align transformation with organizational goals
- Strengthen decision-making using data and AI-powered analytics
Training Module
Introduction to AI-Driven Digital Transformation
- Deep Dive into AI-Driven Digital Transformation
- Difference Between Artificial Intelligence and Generative Artificial Intelligence (Gen AI)
- Types of Generative AI Tools (eg: Text, Image, Video, Code Generation etc…)
- Benefits of AI-Driven Digital Transformation for Business
- Key Elements to a Successful AI-Driven Digital Transformation
- Common Mistakes and Challenges in AI-Driven Digital Transformation
- Designing a Mobile-First Strategy
Industrial Revolution, Core Pillars of Technology and Its Impact on Businesses
- Understanding the Industrial Revolution Timeline
- Key Drivers of Different Industrial Revolution and its impact on Businesses
- Identifying the Core Pillars of Technology
- Artificial Intelligence (AI), Generative AI (Gen AI), Data Analytics and Data Governance
- Cloud Computing and Cloud Architecture
- Cyber Security, Policies and Governance
- Internet of Things and Its Application
- Blockchain, 5G, Quantum Computing, Edge Computing, Robotics and Automation
AI-driven Digital Transformation Framework using CASUGOL Method™ for Digital Transformation
- Introduction to CASUGOL Method™ for Digital Transformation
- Key Components of an AI-Driven Digital Transformation Framework
- Identify Your Customers and Their Pain Points
- Design your Digital Transformation Journey
- Evaluating Digital Maturity and AI Readiness
- Develop an AI-driven Digital Transformation Framework for Your Organization
Developing a Digital Transformation Framework
- Redefine the Purpose of the Organization
- Understand the Objective of Digital Transformation
- Identifying Business Processes that can benefit from Generative AI Tools
- Aligning AI Initiatives with Organizational Goals and Strategy
- Building a Resilience AI-driven Digital Transformation Strategy
- Business Model Transformation
- Engaging Stakeholders and Building Cross-Functional Teams
- Key Performance Indicators (KPIs) for Generative AI Projects
- Performing Comparative Analysis on Gen AI Tools
Data and AI-Driven Strategies for Digital Transformation
- Data and AI-Driven Analytics Overview
- Establishing Target Metrics, Data and AI Governance
- Designing of a Data Analytics Strategy e.g. ETL vs ELT
- Key Components of AI-Driven Data Architecture
- Time-to-Market Analytics
- Competitive Advantage Analytics
- Human Capacity Analytics
- Business Growth Analytics
AI and Gen AI Governance
- Introduction to Artificial Intelligence (AI) Governance
- Understanding the Ethical Considerations in AI
- Brief Overview of the AI Regulatory Frameworks
- Techniques for Making AI Models Transparent and Interpretable
- Accountability and Responsibility using AI Systems
- Human-AI Collaboration Generative AI and Its Governance
- Gen AI Challengers (Deepfakes, Synthetic Media, and Disinformation, etc…)
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