Course Description

This course provides a comprehensive framework for leaders to integrate artificial intelligence into their organizational strategies effectively. It addresses the common challenges of technological disruption, data readiness, and ethical deployment by fostering a clear understanding of AI capabilities. Participants will learn to evaluate high-impact use cases, manage cross-functional teams, and establish governance structures necessary for long-term success. Through a combination of case study analysis and interactive exercises, attendees will develop the practical skills to bridge the gap between technical potential and business value. By the end of the program, participants will be empowered to formulate actionable roadmaps for sustainable AI transformation within their respective functions.

Course Objectives

  • Analyze the impact of generative and predictive AI on modern business models
  • Identify specific organizational problems suitable for AI-driven solutions
  • Develop a framework for ethical AI governance and risk mitigation
  • Evaluate the technical readiness and data infrastructure requirements for AI adoption
  • Formulate a scalable AI adoption roadmap aligned with corporate objectives
  • Implement change management strategies to foster an AI-first culture

Who Should Attend?

This course is designed for mid-to-senior level managers, digital transformation leads, and business unit directors looking to drive organizational innovation through AI integration.

Course Agenda

Day 1 – Foundations of AI Strategy

  • Understanding the current AI landscape and terminology
  • Distinguishing between predictive, prescriptive, and generative AI
  • Identifying the strategic value proposition of AI investments
  • Common pitfalls in AI project initiation
  • Assessing internal organizational readiness
  • Hands-on: Gap analysis exercise to identify three immediate AI opportunities within a mock department

Day 2 – Execution and Governance

  • Data quality, ethics, and privacy considerations
  • Building and managing multidisciplinary AI teams
  • Establishing a sustainable AI governance framework
  • Metrics for measuring AI project success
  • Managing stakeholder expectations in AI initiatives
  • Hands-on: Drafting an AI policy worksheet addressing data usage and ethical compliance

Day 3 – Roadmap and Transformation

  • Developing a phased implementation roadmap
  • Cultivating an organizational culture of continuous learning
  • Overcoming resistance to automation and change
  • Reviewing future trends in AI technology
  • Addressing participant-specific implementation challenges via Q&A
  • Hands-on: Creating a personal action plan for the next 90 days to initiate an AI pilot program

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.