Course Description

This intensive program is designed for executives navigating the rapidly evolving landscape of artificial intelligence in a global context. Participants will address the strategic challenges of digital transformation, ethical AI governance, and cross-border regulatory compliance. The curriculum employs a blend of case study analysis, executive simulations, and peer-to-peer strategic dialogue to ensure a practical application of theoretical concepts. Attendees will gain the confidence to lead AI initiatives, effectively manage technological risks, and cultivate an organizational culture primed for innovation. Upon completion, leaders will be equipped to align artificial intelligence investments with overarching corporate mission objectives and long-term sustainable growth.

Course Objectives

  • Analyze the current global landscape of AI adoption and its strategic implications.
  • Evaluate the ethical frameworks necessary for responsible AI leadership.
  • Develop actionable AI governance structures tailored to international regulatory standards.
  • Formulate an organizational roadmap for scaling high-impact AI pilot programs.
  • Implement change management strategies to overcome resistance to AI-driven workflows.
  • Assess the economic impact of automation on workforce composition and talent development.

Who Should Attend?

This program is intended for senior managers, executives, and department leads who oversee technological investments and are responsible for guiding their organizations through digital shifts.

Course Agenda

Day 1 – Strategic Foundations of AI

  • Evolution of AI technologies and industry impact
  • Defining the role of the C-suite in the AI era
  • Identifying high-value use cases for your enterprise
  • Establishing a common language for AI discourse
  • Resource allocation and ROI forecasting
  • Hands-on: Strategic alignment exercise identifying top three AI opportunities for current business units

Day 2 – Governance and Ethics

  • Data privacy and security in global jurisdictions
  • Principles of transparent and fair AI algorithms
  • Evaluating bias in automated decision systems
  • Corporate accountability for AI outputs
  • Developing internal AI policy guardrails
  • Hands-on: Drafting a draft responsible AI policy statement for a hypothetical enterprise

Day 3 – Scaling and Implementation

  • Moving from proof-of-concept to enterprise scale
  • Infrastructure requirements and technical debt
  • Managing technical teams and vendors
  • Overcoming deployment bottlenecks
  • Measuring performance through key performance indicators
  • Hands-on: Designing a project roadmap template for rolling out a machine learning system

Day 4 – Organizational Transformation

  • Reskilling and upskilling your workforce
  • Fostering an experimental corporate culture
  • Strategies for overcoming internal resistance
  • Designing human-AI collaborative workflows
  • Managing the psychological impact of automation
  • Hands-on: Simulation role-play addressing stakeholder pushback during an AI transition

Day 5 – Future Outlook and Planning

  • Anticipating the next wave of AI advancements
  • Competitive dynamics in the age of AI
  • Long-term strategic foresight planning
  • Final Q&A session with industry experts
  • Course wrap-up and synthesis of key learnings
  • Hands-on: Personal action planning workshop to define immediate next steps for leadership back at work

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.