PROGRAM DETAILS

Program Overview

Artificial Intelligence (AI) is reshaping industries and redefining the way organizations operate, compete, and deliver value. For managers and leaders, understanding AI is no longer optional—it is a strategic necessity. This dynamic 5-day training program is designed to equip decision-makers with the foundational knowledge and strategic insight required to harness AI effectively within their organizations. The program demystifies key AI concepts, tools, and applications, allowing non-technical leaders to engage confidently in AI-driven initiatives.

Participants will explore how AI impacts leadership, decision-making, operations, and customer engagement. Real-world case studies, frameworks, and use cases will be discussed to help managers evaluate AI opportunities and challenges. The course also delves into ethical considerations, data governance, and the critical balance between human and machine collaboration.

Whether leading digital transformation, improving operational efficiency, or enhancing customer experience, this program prepares leaders to make informed decisions about AI strategy and implementation. By the end of the course, participants will be empowered to initiate AI conversations, collaborate with technical teams, and lead their organizations through the rapidly evolving AI landscape with confidence and foresight.

Learning Objectives

By the end of this program, participants will be able to:

• Understand fundamental AI concepts, technologies, and terminologies.

• Identify strategic opportunities for AI within their business functions.

• Evaluate the impact of AI on leadership, decision-making, and innovation.

• Analyze real-world AI use cases across industries.

• Assess ethical, social, and regulatory implications of AI deployment.

• Build a roadmap for AI integration in organizational strategy.

• Collaborate effectively with technical teams and AI specialists.

• Lead change and manage organizational readiness for AI adoption.

Target Audience

• Senior executives, directors, and middle managers across industries.

• Business leaders responsible for innovation, strategy, operations, or transformation.

• Non-technical leaders seeking to understand AI’s business potential.

• Project managers overseeing digital transformation or AI-related initiatives.

• HR, marketing, finance, and operations professionals seeking AI alignment in their functions.

Training Methodology

This program uses an interactive and practical approach that includes:

• Expert-led presentations and thought leadership.

• Real-world case studies and group discussions.

• Scenario-based exercises and decision-making simulations.

• AI tools demonstrations and trend analysis.

• Peer-to-peer learning and reflection activities.

• Action planning for AI adoption and implementation.

Course Content

Day 1: Understanding AI – Concepts, Trends, and Impact

• Introduction to AI: Definitions, history, and evolution

• Core AI technologies: Machine learning, NLP, computer vision, robotics

• The AI ecosystem: Data, algorithms, infrastructure

• Global trends and innovations in AI

• The strategic impact of AI on business models and leadership

Day 2: AI in the Enterprise – Opportunities and Applications

• Use cases of AI across industries (retail, healthcare, manufacturing, finance, etc.)

• AI for operational efficiency and customer engagement

• Intelligent automation and AI-driven decision-making

• Case study analysis: Successful AI implementation stories

• Identifying AI opportunities in your organization

Day 3: AI Strategy and Leadership

• Aligning AI with business strategy

• Leading AI-driven transformation initiatives

• Managing innovation and cross-functional AI teams

• Strategic decision-making with AI support

• Designing an AI roadmap for your organization

Day 4: Governance, Ethics, and Risk Management in AI

• Ethical considerations in AI (bias, transparency, accountability)

• Data privacy, security, and regulatory compliance (e.g., GDPR, AI Act)

• Responsible AI frameworks and principles

• Managing AI-related risks and unintended consequences

• Building trust in AI among stakeholders

Day 5: AI Readiness, Implementation, and the Human Factor

• Assessing organizational readiness for AI adoption

• Change management and workforce transformation

• Reskilling and upskilling teams for the AI era

• Building an AI-literate leadership culture