Certified Chief Digital and Artificial Intelligence Officer (CDAIO) Training Program by Tonex
Public Training with Exam: Feb 3-4, 2025
The Certified Chief Digital and Artificial Intelligence Officer (CDAIO) Training Program by Tonex equips executives and professionals with advanced skills in digital transformation, AI strategy, and data-driven decision-making. This comprehensive course covers AI governance, ethical AI implementation, and leadership in emerging technologies.
Participants gain expertise in leveraging AI for business innovation, enhancing operational efficiency, and driving strategic growth. The program includes hands-on workshops, real-world case studies, and interactive sessions led by industry experts. Designed for senior leaders, CIOs, and technology managers, the CDAIO certification prepares professionals to navigate the complexities of AI-powered enterprises while fostering sustainable digital transformation initiatives.
Program Details:
- Duration: 2 Days
- Certification: “Certified CDAIO” credential awarded upon passing the certification exam.
- Audience: Senior executives, managers, and professionals responsible for digital transformation, AI strategy, and innovation within organizations.
Learning Objectives
By the end of the program, participants will be able to:
- Understand the role and responsibilities of a Chief Digital and Artificial Intelligence Officer (CDAIO).
- Develop and implement effective digital transformation strategies.
- Leverage AI technologies to solve business problems and drive innovation.
- Establish data governance frameworks to ensure data integrity, security, and compliance.
- Navigate the ethical, legal, and regulatory considerations in AI implementation.
- Lead cross-functional teams to achieve organizational digital and AI goals.
- Align AI strategies with business objectives for measurable ROI.
Target Audience:
- Senior executives such as CIOs, CTOs, COOs, and CEOs.
- Managers responsible for digital transformation or AI projects.
- Professionals transitioning into digital leadership roles.
- Leaders in IT, data science, and innovation.
Exam Domains:
The certification exam will cover the following domains:
- Digital Transformation (20%)
- Key drivers and frameworks.
- Business models for digital-first organizations.
- Emerging technologies: Cloud, IoT, and Big Data.
- AI Strategy and Implementation (25%)
- AI basics for business leaders.
- Identifying and deploying AI use cases.
- Aligning AI initiatives with organizational goals.
- AI Ethics and Governance (20%)
- Responsible AI development and deployment.
- Addressing bias, fairness, and transparency.
- Compliance with legal and regulatory standards.
- Data Governance and Analytics (20%)
- Data strategy development.
- Establishing data governance policies.
- Leveraging analytics for informed decision-making.
- Leadership and Change Management (15%)
- Fostering a digital-first culture.
- Leading cross-functional teams.
- Managing resistance to change in transformation projects.
Exam Format:
- Question Types:
- Multiple-choice questions (single and multiple responses).
- Scenario-based questions requiring analysis and decision-making.
- Matching or drag-and-drop questions (aligning concepts with strategies).
- Number of Questions: 50–60.
- Duration: 90 minutes.
Passing Criteria:
- Scoring:
- Each question is assigned a weight based on its complexity.
- The minimum passing score is 70%.
- Open-Book Policy:
- Closed-book, no reference materials allowed.
- Retake Policy:
- Candidates who fail may retake the exam after a 14-day waiting period.
Program Outline:
Day 1: Foundations of Digital and AI Leadership
Session 1: Role of a CDAIO (1 Hour)
- Learning Objective: Understand the role’s scope and required competencies.
Session 2: Fundamentals of Digital Transformation (2 Hours)
- Learning Objective: Identify key technologies and strategies for digital transformation.
Session 3: AI Fundamentals for Business Leaders (2 Hours)
- Learning Objective: Differentiate AI technologies and evaluate business applications.
Session 4: AI Ethics, Fairness, and Responsibility (1.5 Hours)
- Learning Objective: Apply ethical frameworks to AI projects.
Session 5: Data Strategy and Governance (1.5 Hours)
- Learning Objective: Develop data governance frameworks for effective decision-making.
Day 2: Advanced Applications and Leadership
Session 6: AI Implementation Workshop (2 Hours)
- Learning Objective: Create AI use cases aligned with organizational goals.
Session 7: Leading Digital Transformation (1.5 Hours)
- Learning Objective: Foster a digital-first culture and manage change.
Session 8: Measuring AI ROI (1 Hour)
- Learning Objective: Develop KPIs and metrics to evaluate AI project success.
Session 9: Capstone Project (2 Hours)
- Learning Objective: Develop and present a comprehensive AI strategy for a hypothetical business.
Certification Exam
- Administered at the end of Day 2.
- Delivered online or in-person.
This structured approach ensures participants are prepared to excel as Chief Digital and Artificial Intelligence Officers, equipped with technical knowledge, strategic insight, and leadership capabilities.