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Training on Executive AI Literacy and Corporate Strategy

Build executive AI literacy and corporate strategy capabilities. Learn AI governance, digital transformation, risk management, and enterprise AI adoption.
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Last updated May 2026
English
Level: Intermediate Format: In-Person Duration: 5 Days Certification
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Training on Executive AI Literacy and Corporate Strategy - Course Cover Image
Next scheduled session
22 Jun 2026 - 26 Jun 2026
Kisumu, Kenya
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Course Overview

UPDATED 4 weeks ago

Artificial Intelligence (AI) is reshaping business models, operational processes, customer engagement, and competitive strategy across industries. However, many executives and senior decision-makers struggle to translate AI concepts into actionable corporate strategies that create measurable organizational value while managing risk, governance, and ethical concerns.

This course equips executives and senior leaders with the strategic knowledge required to understand, evaluate, and govern AI initiatives within modern organizations. Rather than focusing on technical programming, the training emphasizes executive-level AI literacy, strategic decision-making, enterprise transformation, and responsible AI governance.

Participants will learn how AI technologies impact business operations, competitive positioning, workforce transformation, innovation, risk management, and corporate governance. The course also explores AI adoption frameworks, investment prioritization, cybersecurity implications, data governance, regulatory considerations, and organizational readiness.

Through executive simulations, case studies, and strategic planning exercises, participants develop the capability to align AI initiatives with business objectives, improve decision-making, and lead AI-enabled transformation confidently and responsibly.

Duration

5 Days

Who Should Attend

• CEOs, Managing Directors, and Board Members
• Senior executives and corporate strategists
• Digital transformation and innovation leaders
• Public sector executives and policy makers
• Risk, compliance, and governance professionals
• HR and workforce transformation leaders
• Business unit heads and operational managers

Course Impact

Individual Impact

• Strengthen executive understanding of AI and digital transformation
• Improve strategic decision-making related to AI investments
• Enhance ability to lead AI-enabled organizational change
• Build confidence in evaluating AI risks and opportunities
• Increase effectiveness in governing enterprise AI initiatives

Organizational Impact

• Improve strategic alignment of AI initiatives with business goals
• Strengthen innovation and competitive positioning
• Enhance enterprise governance and responsible AI adoption
• Improve operational efficiency and data-driven decision-making
• Strengthen long-term organizational resilience and adaptability

Course Objectives

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

• Understand core AI concepts and enterprise applications
• Evaluate AI opportunities and business value propositions
• Develop AI-driven corporate transformation strategies
• Strengthen AI governance, ethics, and compliance frameworks
• Assess organizational readiness for AI adoption
• Manage AI-related operational, legal, and reputational risks
• Align AI investments with strategic business objectives
• Lead workforce and organizational transformation in the AI era

Course Outline

Module 1: Foundations of AI for Executives

• Understanding AI, machine learning, and generative AI concepts
• Evolution of AI in business and industry
• Common AI technologies and enterprise applications
• AI myths, limitations, and realistic expectations
• Exercise: Assess organizational AI maturity
• Case Study: AI transformation in leading enterprises

Module 2: AI Strategy and Competitive Advantage

• Aligning AI with corporate strategy and business objectives
• Identifying high-value AI use cases
• AI-driven business model innovation
• Competitive intelligence and market disruption
• Practical: Develop an AI opportunity roadmap
• Case Study: Strategic AI adoption across industries

Module 3: AI Governance, Ethics, and Risk Management

• Responsible AI principles and governance frameworks
• Bias, fairness, transparency, and explainability
• Regulatory and compliance considerations
• Cybersecurity, privacy, and reputational risks
• Exercise: Conduct an AI risk assessment
• Case Study: AI governance failures and lessons learned

Module 4: Organizational Readiness and Workforce Transformation

• Building AI-ready organizational cultures
• Workforce transformation and future skills
• Managing resistance to AI adoption
• Human-AI collaboration and productivity
• Practical: Design an AI workforce transformation strategy
• Case Study: Organizational change during AI adoption

Module 5: Data Strategy and Digital Infrastructure

• Importance of data quality and governance
• Enterprise data ecosystems and interoperability
• Cloud infrastructure and AI platforms
• Digital transformation architecture considerations
• Exercise: Assess enterprise data readiness
• Case Study: Scaling enterprise AI infrastructure

Module 6: AI Investment and Financial Decision-Making

• Evaluating AI business cases and ROI
• Budgeting and prioritizing AI investments
• Vendor evaluation and procurement considerations
• Measuring value realization and performance
• Practical: Develop an AI investment framework
• Case Study: AI investment successes and failures

Module 7: AI in Operations, Customer Experience, and Innovation

• AI-driven operational efficiency and automation
• Predictive analytics and intelligent decision-support
• Customer personalization and engagement systems
• Innovation ecosystems and emerging AI trends
• Exercise: Map AI applications across business functions
• Case Study: AI-enhanced customer experience transformation

Module 8: Executive Leadership in the AI Era

• Strategic leadership in digital transformation
• Executive communication on AI initiatives
• Building cross-functional AI governance structures
• Managing uncertainty and technological disruption
• Practical: Develop an executive AI leadership plan
• Case Study: Leadership lessons from AI-driven organizations

Module 9: Scenario Planning and Enterprise AI Integration

• AI adoption scenarios and strategic forecasting
• Enterprise-wide AI integration approaches
• Scaling pilots into enterprise programs
• Monitoring AI performance and governance effectiveness
• Exercise: Develop a corporate AI integration roadmap
• Case Study: Enterprise-scale AI transformation programs

Module 10: Simulation, Strategic Planning, and Future Readiness

• Executive AI strategy simulation
• Crisis and risk scenarios involving AI systems
• Emerging trends: autonomous systems, AGI, generative AI
• Building sustainable AI governance and innovation models
• Capstone Exercise: Develop an enterprise AI strategy framework
• Case Study: Future-ready AI governance and transformation models

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
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
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22 Jun - 26 Jun 2026
Kigali, Rwanda
5 days
USD 1,799
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22 Jun - 26 Jun 2026
Kuala Lumpur, Malaysia
5 days
USD 6,399
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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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29 Jun - 3 Jul 2026
Mandaluyong, Philippines
5 days
USD 2,499
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July 2026
6 Jul - 10 Jul 2026
Nairobi, Kenya
5 days
KES 99,999
USD 1,399
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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
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6 Jul - 10 Jul 2026
Abuja, Nigeria
5 days
USD 3,799
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13 Jul - 17 Jul 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
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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
13 Jul - 17 Jul 2026
Singapore, Singapore
5 days
USD 6,399
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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
20 Jul - 24 Jul 2026
Kuala Lumpur, Malaysia
5 days
USD 6,399
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
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27 Jul - 31 Jul 2026
Mandaluyong, Philippines
5 days
USD 2,499
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August 2026
3 Aug - 7 Aug 2026
Nairobi, Kenya
5 days
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3 Aug - 7 Aug 2026
Kampala, Uganda
5 days
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3 Aug - 7 Aug 2026
Johannesburg, South Africa
5 days
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3 Aug - 7 Aug 2026
Cairo, Egypt
5 days
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10 Aug - 14 Aug 2026
Mombasa, Kenya
5 days
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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
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17 Aug - 21 Aug 2026
Nakuru, Kenya
5 days
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17 Aug - 21 Aug 2026
Arusha, Tanzania
5 days
Enroll Now
17 Aug - 21 Aug 2026
Cape Town, South Africa
5 days
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17 Aug - 21 Aug 2026
Singapore, Singapore
5 days
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24 Aug - 28 Aug 2026
Kisumu, Kenya
5 days
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24 Aug - 28 Aug 2026
Zanzibar, Tanzania
5 days
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24 Aug - 28 Aug 2026
Kigali, Rwanda
5 days
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24 Aug - 28 Aug 2026
Kuala Lumpur, Malaysia
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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31 Aug - 4 Sep 2026
Mandaluyong, Philippines
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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14 Sep - 18 Sep 2026
Singapore, Singapore
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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21 Sep - 25 Sep 2026
Kuala Lumpur, Malaysia
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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28 Sep - 2 Oct 2026
Mandaluyong, Philippines
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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12 Oct - 16 Oct 2026
Singapore, Singapore
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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19 Oct - 23 Oct 2026
Kuala Lumpur, Malaysia
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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26 Oct - 30 Oct 2026
Mandaluyong, Philippines
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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16 Nov - 20 Nov 2026
Singapore, Singapore
5 days
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23 Nov - 27 Nov 2026
Kisumu, Kenya
5 days
Enroll Now
23 Nov - 27 Nov 2026
Zanzibar, Tanzania
5 days
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23 Nov - 27 Nov 2026
Kigali, Rwanda
5 days
Enroll Now
23 Nov - 27 Nov 2026
Kuala Lumpur, Malaysia
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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30 Nov - 4 Dec 2026
Mandaluyong, Philippines
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
Enroll Now
14 Dec - 18 Dec 2026
Singapore, Singapore
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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21 Dec - 25 Dec 2026
Kuala Lumpur, Malaysia
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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28 Dec - 1 Jan 2027
Mandaluyong, Philippines
5 days
Enroll Now
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Training Methodology

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.

Proven Impact

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
Build confidence handling leadership, communication, and crisis situations.
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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Off-the-shelf solutions rarely fit perfectly. At ForElite Training Institute, we built our Tailor-Made Training (TMT) service to embed our expertise directly into your unique strategy, culture, and operations.

Industry Specific Case Studies

We replace generic examples with scenarios from your sector (e.g., public sector, NGOs, financial services, or logistics).

Modular Scheduling

Choose a format that fits your operations: intensive 3 day bootcamps or weekly sessions that minimize work disruption.

Internal Document Integration

We teach directly from your actual templates, brand guidelines, or financial reports.

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Host your bespoke training in any of our 21+ global cities, or we'll send facilitators to your office anywhere in the world.

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Training on Executive AI Literacy and Corporate Strategy FAQs

Quick answers to common questions about this course

Executive AI literacy refers to the ability of leaders and decision-makers to understand AI concepts, evaluate strategic implications, govern AI responsibly, and make informed business decisions about AI adoption.
AI literacy helps executives identify opportunities, manage risks, guide digital transformation, allocate investments effectively, and ensure responsible and ethical AI adoption.
No. The course is designed for executives and focuses on strategic, governance, operational, and leadership aspects of AI rather than technical coding or engineering.
Industries including healthcare, finance, manufacturing, government, retail, logistics, education, energy, telecommunications, and professional services can benefit from AI strategy capabilities.
Key risks include poor data quality, cybersecurity threats, regulatory non-compliance, algorithmic bias, reputational damage, weak governance, and unclear business value from AI investments.
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