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Training on Executive Leadership in Artificial Intelligence (AI) Systems

Learn executive AI leadership to drive strategy, governance, and ethical adoption while unlocking innovation, efficiency, and competitive advantage.
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Last updated Apr 2026
English
Level: Advanced Format: In-Person & Online Duration: 5 Days Certification
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Training on Executive Leadership in Artificial Intelligence (AI) Systems - Course Cover Image
Next scheduled session
8 Jun 2026 - 12 Jun 2026
Mombasa, Kenya
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Course Overview

UPDATED 1 month ago

What is Executive Leadership in AI Systems?

Executive leadership in AI refers to the ability of senior leaders to strategically guide the adoption, governance, and scaling of artificial intelligence across the organization. It combines business strategy, technology oversight, risk management, and ethical leadership to ensure AI delivers measurable value.

Many organizations face critical leadership gaps in AI adoption:

  • Limited executive understanding of AI capabilities and limitations
  • Misalignment between AI initiatives and business strategy
  • Lack of governance and ethical oversight
  • High investment with unclear ROI
  • Organizational resistance to AI-driven transformation

Without strong leadership, AI initiatives often fail to scale or deliver impact.

This course equips executives with a strategic and governance-focused approach to AI. Participants learn how to align AI with business objectives, establish governance frameworks, manage risks, and lead organization-wide transformation with confidence.

Key Concepts Covered

  • AI strategy development and alignment with business goals
  • AI governance, ethics, and responsible AI frameworks
  • Leadership roles in AI transformation
  • Risk management and regulatory considerations in AI
  • AI-driven business model innovation
  • Change management and organizational readiness for AI
  • Data-driven decision-making at the executive level
  • Measuring AI ROI and performance

Participants will apply skills to:

  • Define and lead enterprise AI strategies
  • Oversee AI governance and ethical implementation
  • Drive digital transformation initiatives powered by AI
  • Make informed investment decisions in AI technologies
  • Align cross-functional teams around AI priorities

By the end of the course, participants will be able to lead AI initiatives strategically, implement governance frameworks, mitigate risks, and position their organizations for sustainable, AI-driven growth.

Duration

5 Days

Who Should Attend

  • C-suite executives (CEOs, CIOs, CTOs, CDOs)
  • Senior business and functional leaders
  • Directors of digital transformation and innovation
  • Strategy and operations executives
  • Board members and policy decision-makers

Course Impact

Organization Impact

  • Strengthened strategic direction for AI adoption

  • Enhanced competitiveness through innovation and efficiency

  • Better governance and risk management of AI systems

  • Improved trust and transparency with stakeholders

Individual Impact

  • Confidence in leading AI adoption at an enterprise level

  • Broader understanding of AI’s strategic and ethical implications

  • Ability to drive change, innovation, and digital transformation

  • Career positioning as a forward-looking executive leader

Course Objectives

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

  • Understand the fundamentals of AI systems and their business applications.

  • Lead AI strategy development and organizational transformation.

  • Align AI initiatives with business goals and customer needs.

  • Manage risks, ethics, and compliance in AI adoption.

  • Foster collaboration between technical and non-technical teams.

  • Position their organizations for long-term success in an AI-driven economy.

Course Outline

Module 1: AI Fundamentals for Executives

  • Demystifying AI, machine learning, and automation

  • AI applications across industries

  • Opportunities and challenges of AI adoption

Module 2: Strategic Leadership in AI

  • Developing an AI vision and roadmap

  • Aligning AI initiatives with business strategy

  • Leading digital and cultural transformation

Module 3: AI Governance, Risk, and Ethics

  • Ethical frameworks for AI adoption

  • Data privacy, bias, and transparency

  • Regulatory compliance and corporate governance

Module 4: AI in Practice – Driving Innovation and Value

  • Case studies: Successful enterprise AI implementation

  • Managing cross-functional AI teams

  • Leveraging AI for customer experience, efficiency, and growth

Module 5: The Future of AI and Executive Action Planning

  • Emerging trends in AI technologies and leadership

  • Building resilient, future-ready organizations

  • Capstone: Designing an executive AI leadership action plan

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration and Investment

Whether you join us in a physical boardroom or through our virtual campus, we’ve designed every administrative detail for a seamless, professional experience.

1. Training Fees & Inclusions

Our fees are all inclusive during course hours.

  • Covered: High level tuition, comprehensive materials (digital + physical), mid morning and afternoon refreshments, a full executive lunch, and any scheduled study visits or site tours.
  • Not covered: Travel, visa fees, medical/travel insurance, personal expenses, and accommodation.
2. Enrolment and Onboarding

From registration to the classroom, we keep things clear and efficient.

  • Registration: Find your preferred schedule, click “Register,” complete the form, and submit. Need help? Talk to us directly.
  • Pre Course Assessment: After registering, you’ll receive a diagnostic survey to help facilitators tailor content to your needs.
  • Joining Instructions: Once fees are paid, you’ll receive a Delegate Welcome Pack at least 7 days before the start date (venue maps, virtual access links, and pre reading materials).
3. Logistics and Learning Environment

We provide premium environments optimized for adult learning and networking.

  • Physical Venues: Premium 4 star and 5 star executive boardrooms across our global host cities, with high tier catering.
  • Virtual Instructor Led Training (VILT): High definition, interactive platforms featuring breakout rooms, digital whiteboards, and live technical support.
  • NITA and Regulatory Compliance: Administrative processes align with national training authorities.
4. Materials & Technical Support

You’ll leave with tools that extend the course value far beyond the final day.

  • ForElite Learner Kit: A physical or digital course manual, proprietary templates, and a curated toolkit of industry standard SOPs.
  • On Site / In App Support: Dedicated course coordinators handle technical, dietary, or logistical inquiries in real time.
5. Certification & Assessment

We validate your commitment to excellence with internationally recognized credentials.

  • Attendance Tracking: Rigorous daily logging to meet corporate and regulatory accreditation requirements.
  • Verifiable Credentials: Upon successful completion, you receive a certificate of course completion.
6. Post Course Continuity

Our relationship with you doesn’t end when the course closes.

  • Feedback & ROI Reporting: Detailed post course evaluations to give sponsors clear insight into training impact.
  • Alumni Network Access: Every delegate joins the ForElite Alumni Network for ongoing peer to peer learning and exclusive webinars.

When is the next intake?

Updated
June 2026
8 Jun - 12 Jun 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
Enroll Now
8 Jun - 12 Jun 2026
Dar es Salaam, Tanzania
5 days
USD 1,999
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8 Jun - 12 Jun 2026
Pretoria, South Africa
5 days
USD 2,899
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8 Jun - 12 Jun 2026
Abuja, Nigeria
5 days
USD 3,799
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15 Jun - 19 Jun 2026
Nakuru, Kenya
5 days
KES 104,999
USD 1,399
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15 Jun - 19 Jun 2026
Arusha, Tanzania
5 days
USD 1,999
Enroll Now
15 Jun - 19 Jun 2026
Cape Town, South Africa
5 days
USD 3,299
Enroll Now
22 Jun - 26 Jun 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
Enroll Now
22 Jun - 26 Jun 2026
Zanzibar, Tanzania
5 days
USD 2,199
Enroll Now
22 Jun - 26 Jun 2026
Kigali, Rwanda
5 days
USD 1,799
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29 Jun - 3 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
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29 Jun - 3 Jul 2026
Accra, Ghana
5 days
USD 5,999
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29 Jun - 3 Jul 2026
Dakar, Senegal
5 days
USD 3,999
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July 2026
6 Jul - 10 Jul 2026
Nairobi, Kenya
5 days
KES 99,999
USD 1,399
Enroll Now
6 Jul - 10 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
Enroll Now
6 Jul - 10 Jul 2026
Zanzibar, Tanzania
5 days
USD 2,199
Enroll Now
6 Jul - 10 Jul 2026
Cape Town, South Africa
5 days
USD 3,299
Enroll Now
6 Jul - 10 Jul 2026
Abuja, Nigeria
5 days
USD 3,799
Enroll Now
13 Jul - 17 Jul 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
Enroll Now
13 Jul - 17 Jul 2026
Kampala, Uganda
5 days
USD 1,999
Enroll Now
13 Jul - 17 Jul 2026
Accra, Ghana
5 days
USD 5,999
Enroll Now
13 Jul - 17 Jul 2026
Kigali, Rwanda
5 days
USD 1,799
Enroll Now
20 Jul - 24 Jul 2026
Nakuru, Kenya
5 days
KES 104,999
USD 1,399
Enroll Now
20 Jul - 24 Jul 2026
Dar es Salaam, Tanzania
5 days
USD 1,999
Enroll Now
20 Jul - 24 Jul 2026
Johannesburg, South Africa
5 days
USD 2,899
Enroll Now
20 Jul - 24 Jul 2026
Dakar, Senegal
5 days
USD 3,999
Enroll Now
27 Jul - 31 Jul 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
Enroll Now
27 Jul - 31 Jul 2026
Arusha, Tanzania
5 days
USD 1,999
Enroll Now
27 Jul - 31 Jul 2026
Pretoria, South Africa
5 days
USD 2,899
Enroll Now
27 Jul - 31 Jul 2026
Cairo, Egypt
5 days
USD 4,499
Enroll Now
August 2026
3 Aug - 7 Aug 2026
Nairobi, Kenya
5 days
Enroll Now
3 Aug - 7 Aug 2026
Kampala, Uganda
5 days
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3 Aug - 7 Aug 2026
Johannesburg, South Africa
5 days
Enroll Now
3 Aug - 7 Aug 2026
Cairo, Egypt
5 days
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10 Aug - 14 Aug 2026
Mombasa, Kenya
5 days
Enroll Now
10 Aug - 14 Aug 2026
Dar es Salaam, Tanzania
5 days
Enroll Now
10 Aug - 14 Aug 2026
Pretoria, South Africa
5 days
Enroll Now
10 Aug - 14 Aug 2026
Abuja, Nigeria
5 days
Enroll Now
17 Aug - 21 Aug 2026
Nakuru, Kenya
5 days
Enroll Now
17 Aug - 21 Aug 2026
Arusha, Tanzania
5 days
Enroll Now
17 Aug - 21 Aug 2026
Cape Town, South Africa
5 days
Enroll Now
24 Aug - 28 Aug 2026
Kisumu, Kenya
5 days
Enroll Now
24 Aug - 28 Aug 2026
Zanzibar, Tanzania
5 days
Enroll Now
24 Aug - 28 Aug 2026
Kigali, Rwanda
5 days
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31 Aug - 4 Sep 2026
Dubai, United Arabs Emirates
5 days
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31 Aug - 4 Sep 2026
Accra, Ghana
5 days
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31 Aug - 4 Sep 2026
Dakar, Senegal
5 days
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September 2026
7 Sep - 11 Sep 2026
Nairobi, Kenya
5 days
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7 Sep - 11 Sep 2026
Dubai, United Arabs Emirates
5 days
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7 Sep - 11 Sep 2026
Zanzibar, Tanzania
5 days
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7 Sep - 11 Sep 2026
Cape Town, South Africa
5 days
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7 Sep - 11 Sep 2026
Abuja, Nigeria
5 days
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14 Sep - 18 Sep 2026
Mombasa, Kenya
5 days
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14 Sep - 18 Sep 2026
Kampala, Uganda
5 days
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14 Sep - 18 Sep 2026
Accra, Ghana
5 days
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14 Sep - 18 Sep 2026
Kigali, Rwanda
5 days
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21 Sep - 25 Sep 2026
Nakuru, Kenya
5 days
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21 Sep - 25 Sep 2026
Dar es Salaam, Tanzania
5 days
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21 Sep - 25 Sep 2026
Johannesburg, South Africa
5 days
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21 Sep - 25 Sep 2026
Dakar, Senegal
5 days
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28 Sep - 2 Oct 2026
Kisumu, Kenya
5 days
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28 Sep - 2 Oct 2026
Arusha, Tanzania
5 days
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28 Sep - 2 Oct 2026
Pretoria, South Africa
5 days
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28 Sep - 2 Oct 2026
Cairo, Egypt
5 days
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October 2026
5 Oct - 9 Oct 2026
Nairobi, Kenya
5 days
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5 Oct - 9 Oct 2026
Dubai, United Arabs Emirates
5 days
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5 Oct - 9 Oct 2026
Zanzibar, Tanzania
5 days
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5 Oct - 9 Oct 2026
Cape Town, South Africa
5 days
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5 Oct - 9 Oct 2026
Abuja, Nigeria
5 days
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12 Oct - 16 Oct 2026
Mombasa, Kenya
5 days
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12 Oct - 16 Oct 2026
Kampala, Uganda
5 days
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12 Oct - 16 Oct 2026
Accra, Ghana
5 days
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12 Oct - 16 Oct 2026
Kigali, Rwanda
5 days
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19 Oct - 23 Oct 2026
Nakuru, Kenya
5 days
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19 Oct - 23 Oct 2026
Dar es Salaam, Tanzania
5 days
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19 Oct - 23 Oct 2026
Johannesburg, South Africa
5 days
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19 Oct - 23 Oct 2026
Dakar, Senegal
5 days
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26 Oct - 30 Oct 2026
Kisumu, Kenya
5 days
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26 Oct - 30 Oct 2026
Arusha, Tanzania
5 days
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26 Oct - 30 Oct 2026
Pretoria, South Africa
5 days
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26 Oct - 30 Oct 2026
Cairo, Egypt
5 days
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November 2026
2 Nov - 6 Nov 2026
Nairobi, Kenya
5 days
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2 Nov - 6 Nov 2026
Kampala, Uganda
5 days
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2 Nov - 6 Nov 2026
Johannesburg, South Africa
5 days
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2 Nov - 6 Nov 2026
Cairo, Egypt
5 days
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9 Nov - 13 Nov 2026
Mombasa, Kenya
5 days
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9 Nov - 13 Nov 2026
Dar es Salaam, Tanzania
5 days
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9 Nov - 13 Nov 2026
Pretoria, South Africa
5 days
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9 Nov - 13 Nov 2026
Abuja, Nigeria
5 days
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16 Nov - 20 Nov 2026
Nakuru, Kenya
5 days
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16 Nov - 20 Nov 2026
Arusha, Tanzania
5 days
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16 Nov - 20 Nov 2026
Cape Town, South Africa
5 days
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23 Nov - 27 Nov 2026
Kisumu, Kenya
5 days
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23 Nov - 27 Nov 2026
Zanzibar, Tanzania
5 days
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23 Nov - 27 Nov 2026
Kigali, Rwanda
5 days
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30 Nov - 4 Dec 2026
Dubai, United Arabs Emirates
5 days
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30 Nov - 4 Dec 2026
Accra, Ghana
5 days
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30 Nov - 4 Dec 2026
Dakar, Senegal
5 days
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December 2026
7 Dec - 11 Dec 2026
Nairobi, Kenya
5 days
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7 Dec - 11 Dec 2026
Dubai, United Arabs Emirates
5 days
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7 Dec - 11 Dec 2026
Zanzibar, Tanzania
5 days
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7 Dec - 11 Dec 2026
Cape Town, South Africa
5 days
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7 Dec - 11 Dec 2026
Abuja, Nigeria
5 days
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14 Dec - 18 Dec 2026
Mombasa, Kenya
5 days
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14 Dec - 18 Dec 2026
Kampala, Uganda
5 days
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14 Dec - 18 Dec 2026
Accra, Ghana
5 days
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14 Dec - 18 Dec 2026
Kigali, Rwanda
5 days
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21 Dec - 25 Dec 2026
Nakuru, Kenya
5 days
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21 Dec - 25 Dec 2026
Dar es Salaam, Tanzania
5 days
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21 Dec - 25 Dec 2026
Johannesburg, South Africa
5 days
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21 Dec - 25 Dec 2026
Dakar, Senegal
5 days
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28 Dec - 1 Jan 2027
Kisumu, Kenya
5 days
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28 Dec - 1 Jan 2027
Arusha, Tanzania
5 days
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28 Dec - 1 Jan 2027
Pretoria, South Africa
5 days
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28 Dec - 1 Jan 2027
Cairo, Egypt
5 days
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June 2026
8 Jun - 12 Jun 2026
Zoom
5 days
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15 Jun - 19 Jun 2026
Zoom
5 days
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July 2026
6 Jul - 10 Jul 2026
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5 days
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13 Jul - 17 Jul 2026
Zoom
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20 Jul - 24 Jul 2026
Zoom
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August 2026
10 Aug - 14 Aug 2026
Zoom
5 days
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17 Aug - 21 Aug 2026
Zoom
5 days
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24 Aug - 28 Aug 2026
Zoom
5 days
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September 2026
14 Sep - 18 Sep 2026
Zoom
5 days
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21 Sep - 25 Sep 2026
Zoom
5 days
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28 Sep - 2 Oct 2026
Zoom
5 days
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October 2026
19 Oct - 23 Oct 2026
Zoom
5 days
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26 Oct - 30 Oct 2026
Zoom
5 days
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November 2026
2 Nov - 6 Nov 2026
Zoom
5 days
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23 Nov - 27 Nov 2026
Zoom
5 days
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30 Nov - 4 Dec 2026
Zoom
5 days
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December 2026
7 Dec - 11 Dec 2026
Zoom
5 days
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We turn knowledge into results. Using our P.E.A.K. Framework (Prepare, Engage, Apply, Know), every participant leaves with practical skills they can use immediately.

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In the last 12 months, over 1,200 professionals have applied the P.E.A.K. Framework to reduce onboarding time by an average of 30% and accelerate project delivery across 14 industries.

P.E.A.K Framework
Prepare: Set the context and outcomes.
Engage: Keep sessions interactive and relevant.
Apply: Practice with real scenarios and tools.
Know: Validate understanding and next steps.
Key Learning Methods
Experiential "Sandbox" Workshops
Practice real scenarios in a safe, hands-on environment.
Global & Regional Case Studies
Learn from organizations like Apple and Safaricom to uncover diverse strategies.
Interactive Peer-to-Peer Labs
Collaborate, share insights, and solve problems alongside fellow professionals.
Practical Strategy Audits
Receive expert feedback to improve your current projects.
Simulation & Role-Playing
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Professional Toolkit
Access ready-to-use templates, SOPs, and frameworks for immediate application.
90-Day Implementation Plan
Leave with a clear, actionable roadmap for your workplace.
Post-Training Support
Up to 6 months of support, including up to three virtual follow-up sessions as needed.

The outcome: Participants don’t just learn. They gain the tools, confidence, and strategy to drive measurable impact.

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Training on Executive Leadership in Artificial Intelligence (AI) Systems FAQs

Quick answers to common questions about this course

Executive leadership in AI is the ability of senior leaders to guide AI strategy, governance, and adoption to ensure it delivers business value while managing risks and ethical considerations.
AI leadership is critical because executives set strategic direction, allocate resources, and ensure AI initiatives align with business goals, compliance requirements, and long-term competitiveness.
Executives can lead AI transformation by aligning AI with strategy, building governance frameworks, investing in talent and data infrastructure, and driving cultural change across the organization.
Key risks include ethical concerns, bias in AI models, data privacy issues, regulatory non-compliance, cybersecurity threats, and unclear return on investment.
Success is measured through business outcomes such as revenue growth, cost efficiency, productivity gains, innovation impact, and alignment with strategic objectives.

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