| Location | Duration | Kenyan Cost | Non-Kenyan Cost | Upcoming Schedules |
|---|---|---|---|---|
| Nairobi, Kenya | 5 Days | KES 115,000 | USD 1,500 | Enroll |
| Kigali, Rwanda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Kampala, Uganda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Dar es Salaam, Tanzania | 5 Days | USD 2,000 | USD 2,000 | Enroll |
| Dubai, UAE | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Abuja, Nigeria | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Accra, Ghana | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Pretoria, South Africa | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Start & End Date | Duration | Kenyan Cost | Non-Kenyan Cost | Enroll | |
|---|---|---|---|---|---|
| Aug 03āAug 11, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Aug 17āAug 25, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Aug 31āSep 08, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 14āSep 22, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 28āOct 06, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 12āOct 20, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 26āNov 03, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 09āNov 17, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 23āDec 01, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 07āDec 15, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 21āDec 29, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 04āJan 12, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 18āJan 26, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 01āFeb 09, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 15āFeb 23, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 01āMar 09, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 15āMar 23, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 29āApr 06, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 12āApr 20, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 26āMay 04, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 10āMay 18, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 24āJun 01, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 07āJun 15, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 21āJun 29, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
About the Course
Artificial Intelligence (AI) and digital technologies are transforming how organizations operate, make decisions, engage customers, manage information, and create value. Managers are increasingly expected to lead digital transformation initiatives, leverage AI-powered tools, improve operational efficiency, manage technology risks, and prepare their organizations for the future of work. Digital leadership has become an essential capability for organizations seeking to remain innovative, competitive, and resilient in an increasingly technology-driven world.
The Training on Artificial Intelligence and Digital Leadership for Managers equips managers, executives, team leaders, and decision-makers with practical knowledge and leadership skills for successfully leading AI adoption and digital transformation initiatives. The programme covers AI fundamentals, generative AI, digital transformation strategy, data-driven decision-making, automation, AI governance, cybersecurity awareness, digital ethics, innovation management, AI procurement, organizational change, and future workforce planning. Through live demonstrations, practical exercises, case studies, AI readiness assessments, leadership simulations, and hands-on activities, participants will gain the confidence to identify AI opportunities, lead digital transformation initiatives, and make informed technology decisions that drive organizational success.
Target Participants
This programme is designed for managers, directors, chief executives, operations managers, HR leaders, department heads, project managers, digital transformation leaders, public sector executives, NGO leaders, entrepreneurs, and professionals responsible for leading digital transformation and Artificial Intelligence initiatives within their organizations.
What You Will Learn
By the end of this course the participants will be able to:
- Understand Artificial Intelligence concepts, digital transformation principles, and their impact on modern organizations
- Identify practical AI opportunities that improve productivity, decision-making, service delivery, and organizational performance
- Develop digital transformation strategies aligned with organizational goals and business priorities
- Lead organizational change and build digital capabilities that support successful AI adoption
- Apply responsible AI governance, digital ethics, cybersecurity awareness, and data governance principles
- Evaluate AI technologies, vendors, and digital investments to support informed leadership decisions
- Use generative AI and digital productivity tools to enhance leadership effectiveness and organizational innovation
Course Duration
- Classroom ā 5 Days
- Online ā Available
Course Outline
Artificial Intelligence Fundamentals for Leaders
- Introduction to Artificial Intelligence
- Machine Learning, Deep Learning, and Generative AI
- AI capabilities and limitations
- Emerging AI trends across industries
- AI literacy assessment
Generative AI for Leadership and Management
- Understanding Large Language Models (LLMs)
- Practical applications of ChatGPT and other AI tools
- Prompt engineering for managers
- Managing AI risks and limitations
- Hands-on AI productivity exercises
Artificial Intelligence Applications Across Sectors
- AI in healthcare
- AI in agriculture and food systems
- AI in finance and banking
- AI in government and public service
- Sector-specific AI opportunities
Digital Transformation Strategy
- Digital transformation principles
- Digital maturity assessment
- Developing digital transformation roadmaps
- Selecting digital technologies
- Technology investment strategies
Artificial Intelligence Opportunity Assessment
- Identifying AI opportunities
- Business process analysis for AI
- Developing AI business cases
- Cost-benefit and risk analysis
- AI opportunity workshops
Leading Digital Transformation
- Leading organizational change
- Managing resistance to technology adoption
- Building digital organizational culture
- Developing digital capabilities
- Communicating digital transformation initiatives
Data Strategy and Data-Driven Decision-Making
- Data governance principles
- Data quality and management
- Data literacy for managers
- Evidence-based decision-making
- Data privacy and security
Artificial Intelligence Ethics and Responsible AI
- Responsible AI principles
- AI ethics and governance
- Bias and fairness in AI systems
- AI risk management
- Ethical AI assessment frameworks
AI Procurement and Technology Investment
- Evaluating AI vendors and solutions
- Technology procurement strategies
- AI contracts and service agreements
- Managing vendor relationships
- AI investment decision-making
Digital Leadership and Organizational AI Roadmap
- Building digital leadership capability
- Developing organizational AI roadmaps
- Digital governance structures
- AI implementation planning
- Leadership action planning
AI Governance and Responsible AI
- AI governance frameworks
- Responsible AI implementation
- Compliance and regulatory considerations
- Managing AI risks
- Developing organizational AI policies
Artificial Intelligence for Executive Decision-Making
- AI-powered decision support systems
- Executive dashboards and analytics
- Predictive analytics for management
- Generative AI for leadership productivity
- Strategic planning with AI
Leading Organizational AI Transformation
- Building AI-ready organizations
- Managing AI adoption
- Digital transformation change management
- Developing organizational AI capabilities
- Future workforce planning
Training Approach
This course is delivered by our seasoned trainers who have extensive experience in Artificial Intelligence, digital transformation, business strategy, organizational leadership, innovation, and technology management. The programme combines expert presentations, AI demonstrations, hands-on exercises, digital readiness assessments, case studies, leadership simulations, group discussions, AI opportunity mapping, and practical implementation planning to strengthen participants’ digital leadership capabilities.
Training notes, AI implementation frameworks, digital transformation templates, AI governance guides, practical case studies, productivity tool resources, and additional reference materials are provided to the participants.
Certification
Upon successful completion of this course, participants will be issued a certificate.
Tailor-Made Course
We can also do this as a tailor-made course to meet organization-wide needs.