AI-Native Journey brings together the essentials of AI fluency and AI leadership. In a structured three-module format, you first master how AI works and how to use it effectively in daily work. Then you learn to guide AI initiatives that are responsible, feasible, and aligned with business goals.
The program blends theory, experimentation, and organizational impact, ensuring participants leave with both practical AI application skills and the ability to drive adoption across teams.
Objectives
By the end of the program, you can confidently shape, communicate, and deliver AI initiatives that add measurable value. You learn to evaluate opportunities, redesign workflows, align key stakeholders, and ensure AI is used ethically and effectively within your organization..
Programme
Module 1 – AI Fluency and Generative AI Essentials
This first phase builds your foundation for working effectively with AI. You gain a clear understanding of AI, LLMs, and Generative AI, and you practice creating high-quality prompts in a safe, structured environment.
Key elements of Module 1:
Understanding modern AI and data fundamentals
Practicing effective prompting and evaluating AI outputs
Exploring responsible AI use within organizational guidelines
Applying AI tools to real workflows for measurable improvement
Module 2 – Designing Responsible AI Initiatives
In this phase, you move from individual skills to organizational impact. You learn to identify high-value AI opportunities, align teams, and translate ideas into structured, executable plans.
Key elements of Module 2:
Defining AI initiatives with clear scope, goals, and success criteria
Mapping ownership, stakeholders, and dependencies
Integrating Responsible AI principles and risk management
Communicating value and feasibility through concise initiative charters
Module 3 – Leading AI Adoption and Change
The final phase focuses on implementation and sustainable adoption. You learn how to lead change, manage resistance, and ensure that AI delivers long-term value within your organization.
Key elements of Module 3:
Building a 30-60-90-120 day roadmap for implementation
Facilitating learning cycles and continuous improvement
Managing stakeholder engagement and alignment
Scaling proven AI patterns across teams and departments