Executive Education
in AI for African
C-Level Executives
A 7-week program that builds practical AI skills and delivers an AI strategy for your organisation.
Powered by Mbarara University
of Science & Technology
Powered by Mbarara University
of Science & Technology
Start date
Mar 2, 2026
Graduation Day
Apr 17, 2026
Duration
7 Weeks
Total hours
28 Hours
Growth
You Move Ahead of Competitors
AI frees your teams from routine work, giving you the speed and focus needed to grow faster than the competition.
Decision making is too slow
Weak data visibility slows decisions
Teams are overstretched
Repetitive work drains productivity
Customers expect instant service
Old systems cannot meet demand
Competitors are accelerating
Your business becomes less relevant
Decisions become fast and clear
Clear data drives confident decisions
Teams work with greater capacity
Automation boosts team productivity
Service becomes fast and smooth
Modern systems meet every demand
AI puts you in the lead
AI works so you can focus on growth
Challenge
The Growing AI Gap That Is Holding Uganda's Progress Back
Uganda risks falling behind as global AI adoption accelerates, widening a gap that slows economic progress and innovation. To move forward, the country needs leaders who can understand, direct, and apply AI in ways that create real, measurable impact.
“AI has transformative potential to boost African economies through effective financial inclusion, employment creation and enhanced public service delivery.”
— Sandra Makumbirofa, senior economist at Research ICT Africa
95%
Leaders without AI training
Only 1 in 20 C-Level executives in Uganda have received AI training
95%
Businesses Behind
Only 2% of mid-to-large businesses in Uganda have integrated AI
Last
Continental Ranking
Uganda is one of the countries in Africa lagging behind in AI adoption and readiness.
Mission
Working Together to Move
Uganda Forward With AI
In partnership with Mbarara University of Science and Technology, we help close Uganda's AI readiness gap by making strategic, practical AI training accessible to C-suite leaders and enabling them to foster real, growth-driving AI projects.
Designed for C-level leaders
Strategic, non-technical, and immediately applicable.
Practical and implementation focused
Every leader develops an AI strategy in 7 weeks that can be turned into real organisational impact.
Flexible for busy schedules
In-person kickoff, focused virtual sessions, and a final graduation day.
Brochure
Access the Full Brochure for the AI Leadership Journey
A clear, condensed overview of the 7-week AI leadership program for Africa's C-level leaders.
Program
How the 7-Week Program is Delivered
A flexible learning structure that fits executive schedules while enabling real AI progress.
In-Person Kickoff
Full day workshop to launch the program and build cohort connections.
Weekly Virtual Sessions
Two weekly zoom calls of two hours.
One on One Sessions
Dedicated Individual Sessions with Mentors.
Office Hours
Organisation Visits and onsite sessions.
Graduation Workshop
Final in-person day to graduate from the program.
Start date
Mar 2, 2026
Graduation Day
Apr 17, 2026
Duration
7 Weeks
Total hours
28 Hours
Overview
Discover What You'll Master Each Week of the Program
A structured overview that shows exactly what you'll master in each stage of the 7-week program.
THE AI IMPERATIVE
Topics covered
Macro AI trends and African readiness gaps
Leadership mindsets for the AI era
Fast diagnostic of organizational maturity
Executive alignment and strategic intent
Organization overview and current digital state
Activity
Fast diagnostic of each participant's organization and executive alignment workshop
Outcome
Clarify purpose, problem statement, expected impact, and current digital maturity for your AI strategy.
GENERATIVE AI & EMERGING TECHNOLOGIES
Topics covered
AIaaS stack tour for executives
Prompt patterns and practical applications
Rapid market sensing
Identifying quick wins (under 90 days)
High-value use case mapping
Activity
Hands-on GenAI exercises and opportunity discovery workshop
Outcome
Map high-value use cases, develop early ROI hypotheses, and ensure strategic alignment (AI Project Overview + Project Goals & Objectives).
DATA-TO-DECISIONS
Topics covered
Data governance walkthrough
Infrastructure options and readiness
Insight generation and strategic decision making
Hands-on value-chain mapping
Data types, life cycle, quality, bias and drift
Activity
Value-chain mapping workshop and data readiness staging exercise
Outcome
Assess data, tech, and human capacity gaps; define target architecture and integration requirements (AI Readiness Assessment + AI Solution Design).
SECTOR CASE DEEP DIVES
Topics covered
Health sector AI implementation scenarios
Education sector opportunities and barriers
Finance and fintech AI adoption stories
Opportunity and risk debates
Organization-specific use-case canvases
Agriculture and animal industry
Activity
Industry roundtable with healthtech, fintech, and education leaders debating real adoption stories
Outcome
Benchmark peers, identify regulatory constraints, and define success criteria and KPIs (Market & Industry Analysis + Monitoring & Improvement).
RESPONSIBLE AI & GOVERNANCE LAB
Topics covered
AI ethics frameworks and principles
Legal mandates (GDPR, AU Data Policy, NITA-U)
Crisis simulations and response planning
Mitigation playbooks and safeguards
Governance structures and compliance
Activity
AI ethics crisis simulation and governance framework design
Outcome
Establish ethical, operational, and compliance safeguards plus governance structures (Risk Analysis & Mitigation + Governance & Policies).
CAPSTONE OPERATING MODEL
Topics covered
Converting use case into funded initiative
Milestone and workstream planning
Change management and adoption strategies
Talent plan and capability building
Budget sketch and ROI narrative
Activity
Live working session converting chosen use case into implementation roadmap
Outcome
Develop complete implementation plan with milestones, roles, change management, training, budget, and ROI (Implementation Plan + Financial Plan).
AI STRATEGY FINALISATION & GRADUATION
Topics covered
Final strategy refinements and documentation
Peer review and faculty feedback
Strategic implementation priorities
Feedback loops and governance cadence
In-person graduation event at Mbarara University of Science & Technology (MUST)
Activity
AI Strategy finalisation workshop and in-person graduation ceremony at Mbarara University of Science & Technology (MUST)
Outcome
Finalise AI strategy document, establish feedback loops, and celebrate program completion with in-person graduation at MUST.
Result
What You'll Achieve After 7 Weeks
You finish the program with the skills and confidence to lead real AI transformation.
An AI Strategy Document
A complete AI initiative you can pilot directly within your organisation for immediate impact.
Expert Mentorship Access
Direct access to international AI experts and mentors throughout the program
Elite Peer Network
Connect with senior executives across Africa and exchange insights that accelerate AI adoption.
Professional Certification
Earn an official certificate from Mbarara University of Science and Technology that recognises your strategic capability and AI leadership.
Filtered, Essential Content
Attend focused live sessions designed to deliver practical knowledge for fast moving executives
Industry-Specific Knowledge
Learn from real AI use cases across retail, healthcare, banking, and other major sectors.
Webinar
Still Unsure? Join Our Free AI Leadership Webinar
A short, live session where you can explore the program, ask questions, and see if the 7-week training is the right fit.
Date
26th February 2026
Channel
Zoom meeting
Team
Meet the team behind LeapAI
A group of AI specialists and industry leaders dedicated to helping Africa's executives build real, practical AI capability.
Samuel Mugisha D.C
CEO, Streamline Health Tech
MSc Advanced Computer Science (University of Manchester), Post Graduate Diploma in AI (University of Texas at Austin), MBA (University of Nicosia)
14 years of business experience
Tezira Wanyana, PhD candidate
AI Strategy & Implementation Expert
PhD in Artificial Intelligence, Extensive research and practical AI deployment experience
10 years of experience leading AI strategy and implementation initiatives across diverse African markets
Dries Van Hansewijck
AI Solutions Architect
Expert in enterprise AI deployment, system architecture, and scaling AI solutions
20 years of business experience specialized in technical AI implementation and organizational transformation
Pricing
Ready to leap?
Limited seats for executives ready to leap. April 7 - May 22, 2026. Every day you wait, the gap widens.
Individual Enrollment
$1,200
For individual executives
All core program benefits
Personal AI project
Peer networking opportunities
Certificate upon completion
Recommended
Organization Package
$2,850
For 3 executives from your organization
3 seats included
Team project collaboration
Organizational AI strategy session
Priority implementation support
Best value: $950 per person vs $1,200 individual
Enroll
Enroll in the 7-week AI Leadership Program
Submit your details to secure your spot and get direct access to the full onboarding process and program brief.
Start date Mar 2, 2026
Graduation Day Apr 17, 2026
Duration 7 Weeks
Total hours 28 Hours
First cohort in Uganda • Mar 2 - Apr 17, 2026
Limited spots available
Everything you need to know, answered clearly
Find quick, clear explanations about the 7-week AI leadership program and what to expect.
The only qualification is that you are a C-level or top/middle-level manager in your business or organization. LeapAI does not admit university students or early stage career professionals.