Training on Understanding AI and ML for Non-Technical Leaders
Demystify AI for non-technical leaders. Build core understanding, communicate with technical teams, and make informed AI investment decisions.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course demystifies AI and machine learning for non-technical leaders, providing them with a solid understanding of core concepts, capabilities, and limitations. Participants will learn to communicate effectively with technical teams, ask the right questions, and make informed decisions about AI investments and implementations.
Who Should Attend
- Executives and senior managers
- Department heads and team leaders
- Government officials and policymakers
- Programme and project managers
- HR, finance, and operations managers
- Digital transformation and innovation leaders
- NGO and development practitioners
- Business owners and decision-makers
What you'll walk away with
- To build a solid understanding of AI and ML concepts for non-technical leaders
- To enable effective communication with technical teams
- To provide frameworks for evaluating AI opportunities and risks
- To equip leaders to make informed decisions about AI investments
What we cover, module by module
Module 1: AI and ML Concepts Demystified
- Understanding AI, ML, and deep learning
- Distinguishing between narrow AI and general AI
- Understanding generative AI and its applications
- Key AI terminology and concepts
- AI capabilities, limitations, and misconceptions
- Case Study: Demystifying AI concepts through real-world examples
Module 2: Data and Algorithms: The Engine of AI
- Understanding data's role in AI
- Different types of data and data sources
- How algorithms learn from data
- Data quality and its impact on AI
- Data privacy and security considerations
- Case Study: Understanding how data powers an AI application
Module 3: AI Capabilities, Limitations, and Use Cases
- AI applications in different business functions
- AI capabilities for prediction, classification, and generation
- AI limitations and common pitfalls
- Identifying suitable use cases for AI
- Evaluating AI solutions for business problems
- Case Study: Matching business problems with AI solutions
Module 4: Evaluating AI Projects: Risks, Costs, and Benefits
- Evaluating the business case for AI
- Understanding AI project costs and timelines
- Assessing AI project risks and mitigation strategies
- Measuring AI project success and ROI
- Managing AI project stakeholders
- Case Study: Evaluating a real-world AI project proposal
Module 5: Communicating with Data Scientists and Technical Teams
- Effective communication between business and technical teams
- Asking the right questions about AI projects
- Translating business needs to technical requirements
- Managing technical jargon and simplifying concepts
- Building trust and collaboration with data scientists
- Case Study: Developing communication strategies for AI projects
Where the change lands
Individual Impact
- Build a strong understanding of AI and ML concepts for informed decision-making.
- Develop confidence in identifying and applying AI opportunities within the organization.
- Strengthen leadership in AI-driven digital transformation.
Organizational Impact
- Enhance strategic decision-making through AI adoption.
- Improve organizational readiness for AI and innovation.
- Drive responsible and effective AI implementation across business functions.
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.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
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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 Understanding AI and ML for Non-Technical Leaders 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.