Skip to main content
NITA AccreditedFoundationPhysical + Virtual5 daysTOAF728

Training on AI for Senior Executives: Leading Digital Transformation

Executive course for leaders to champion AI transformation. Build AI literacy, lead change, manage risks, and create a responsible AI roadmap.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

5 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Foundation

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This executive-level course equips senior leaders with the strategic knowledge and leadership skills required to champion AI-driven digital transformation within their organizations. Participants will move beyond the technical jargon to understand AI's strategic implications, develop a vision for AI integration, and lead their organizations through the cultural and operational changes necessary for successful AI adoption. The course focuses on building AI literacy, fostering an innovation culture, managing AI-related risks, and creating a roadmap for responsible and impactful AI implementation.

Who Should Attend

  • Senior executives and business leaders
  • CEOs, Managing Directors, and Executive Directors
  • Board members and policymakers
  • Digital transformation and innovation leaders
  • Strategy and business development executives
  • Departmental heads and senior managers
  • Business owners and entrepreneurs
  • Public sector leaders and decision-makers
Learning outcomes

What you'll walk away with

  • To demystify AI and its core concepts, focusing on business applications rather than technical depth
  • To enable leaders to assess AI opportunities and threats relevant to their specific industry
  • To provide frameworks for developing a comprehensive AI strategy and roadmap
  • To equip leaders with tools to manage organizational change, talent, and culture for AI
  • To establish a robust understanding of AI governance, ethics, and risk management principles
Course modules

What we cover, module by module

Module 1: The AI Landscape: From Hype to Strategic Opportunity

  • Defining AI, machine learning, deep learning, and generative AI for executives
  • The AI ecosystem: key players, technologies, and platforms
  • Industry transformation: AI's impact on different sectors
  • AI trends and future developments
  • Identifying opportunities and threats for your organization
  • Case Study: Analyzing a successful AI transformation in a similar industry

Module 2: Crafting the AI Vision: Strategy and Roadmap Development

  • Formulating a clear AI vision aligned with business goals
  • Assessing organizational readiness for AI adoption
  • Identifying and prioritizing high-value AI use cases
  • Developing a phased AI implementation roadmap
  • Defining success metrics and KPIs for AI initiatives
  • Case Study: Developing an AI strategy and roadmap for a real-world business challenge

Module 3: Leading the AI-Ready Organization: Culture, Talent, and Change

  • Building a data-driven culture and innovation mindset
  • Identifying AI talent needs and new organizational roles
  • Strategies for recruiting, upskilling, and reskilling the workforce
  • Overcoming resistance to AI adoption and managing change
  • Fostering cross-functional collaboration for AI success
  • Case Study: Designing a change management communication plan for AI adoption

Module 4: AI Governance, Ethics, and Risk Management

  • Understanding AI-related risks: bias, security, privacy, and fairness
  • Principles of responsible and ethical AI
  • Developing governance frameworks for AI accountability
  • Establishing oversight and compliance mechanisms
  • Managing AI vendor and partner risks
  • Case Study: Conducting a risk assessment for a proposed AI project

Module 5: From Pilot to Scale: Implementation and Performance Management

  • Managing AI pilot projects and scaling successful initiatives
  • Integrating AI with existing systems and processes
  • Managing AI vendors, partnerships, and build vs. buy decisions
  • Monitoring AI performance and demonstrating ROI
  • Driving continuous improvement and innovation in AI
  • Case Study: Developing a post-implementation review plan for an AI project
Impact

Where the change lands

Organizational Impacts:

  • Accelerated and strategically aligned AI adoption across the organization
  • Enhanced competitive advantage through innovative, AI-driven business models
  • Improved organizational agility and responsiveness to market changes
  • A sustainable culture of innovation and data-driven decision-making
  • Effective governance and mitigation of AI-related ethical and operational risks

Individual Impacts:

  • Ability to formulate a compelling AI vision and articulate its business value
  • Enhanced strategic decision-making capabilities for technology investments
  • Leadership skills to manage change, build AI-ready teams, and foster collaboration
  • Confidence in leading cross-functional digital transformation initiatives

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

No, this course is specifically designed for non-technical senior leaders. It focuses on strategic and leadership aspects of AI rather than technical implementation.

Course finder

Find the right course for you

Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.

For corporate teams

Training 10+ professionals?

We deliver Training on AI for Senior Executives: Leading Digital Transformation in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.