Methodology

Participants will engage in a dynamic learning environment, characterized by collaborative real world case studies, hands on exercises, and strategic discussions.

Course Objectives

By the end of the course, participants will be able to:

Grasp the Fundamentals of AI: Understand AI's comprehensive landscape, including generative AI and large language models, and its significance in modern business

Leverage AI Across the Business Value Chain: Identify and apply AI-driven strategies to enhance operational efficiency and innovation

Unravel AI Technologies and Algorithms: Gain insights into the mechanisms driving AI solutions, tailored for managerial understanding rather than technical expertise

Implement AI Best Practices: Learn the critical steps and methodologies for successful AI project management, including AI governance and MLOps frameworks

Build AI Competence: Assess and develop the essential skills and competencies needed to lead AI initiatives within your organization

Facilitate AI-centric Discussions: Engage effectively with both business and technical teams on AI-related endeavors

Craft and Execute an AI Strategy: Develop a comprehensive strategy to transform your organization into an AI-driven enterprise

Target Audience

This course is designed for senior, middle and high potential management who recognize that digital transformation and AI are unavoidable; and for those who understand that continuous improvement, innovation and disruption is part of doing business and want to be prepared and reap the benefits of Artificial Intelligence.

In short, this course is for managers wanting to identify what AI can do for them and to drive Digital Transformation, rather than understand the technical methodologies of what happens underneath its hood.

Understanding of basic technology concepts such as data and cloud is helpful but not required.

Target Competencies

AI Best Practice Application

AI Change Management

AI Business Translator

AI Project Management