Training on Building an AI-Ready Organization and Culture
Hands-on ML with Python covering the full pipeline. Apply regression, classification, clustering, and deep learning to real-world problems.
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 provides senior leaders with the knowledge and tools to build an organization that is ready to adopt and thrive with AI. Participants will learn to assess organizational readiness, develop a culture of innovation and data-driven decision-making, and create structures and processes that support AI adoption and scaling.
Who Should Attend
- Senior executives and business leaders
- Digital transformation managers
- HR and organizational development professionals
- Innovation and strategy managers
- IT managers
- Department heads
- Change management professionals
- Project managers
What you'll walk away with
- To equip leaders to build an organization that is ready for AI
- To enable leaders to foster an AI-ready culture
- To provide frameworks for aligning organizational structures with AI goals
- To build capability for managing AI-related organizational change
What we cover, module by module
Module 1: Assessing Organizational AI Readiness
- Understanding organizational AI readiness dimensions
- Conducting an AI readiness assessment
- Identifying readiness gaps and barriers
- Developing an AI readiness roadmap
- Building organizational buy-in for AI
- Case Study: Conducting an AI readiness assessment for an organization
Module 2: Fostering an AI-Ready Culture
- Building a culture of innovation and experimentation
- Encouraging data-driven decision-making
- Developing an AI-literate workforce
- Fostering collaboration between business and technical teams
- Creating psychological safety for AI experimentation
- Case Study: Developing an AI culture change strategy
Module 3: Aligning Structures and Processes for AI
- Designing organizational structures for AI
- Creating AI governance and decision-making frameworks
- Aligning performance management with AI goals
- Integrating AI into business processes
- Managing AI project portfolios
- Case Study: Designing an organizational structure for AI
Module 4: Talent Management and AI Skills Development
- Identifying AI talent needs and skills gaps
- Developing AI talent acquisition and retention strategies
- Building AI skills through training and upskilling
- Creating AI career pathways and development programs
- Engaging and motivating AI talent
- Case Study: Developing an AI talent strategy
Module 5: Leading and Sustaining AI Transformation
- Leading organizational change for AI
- Building AI momentum and sustaining transformation
- Managing resistance to AI adoption
- Communicating AI vision and progress effectively
- Ensuring continuous improvement and learning
- Case Study: Developing a leadership strategy for AI transformation
Where the change lands
Organizational Impacts:
- Accelerated AI adoption and integration across the organization
- Enhanced organizational agility and innovation capacity
- Improved talent attraction and retention in AI-related roles
- Stronger alignment of culture and structures with AI strategy
Individual Impacts:
- Ability to assess and enhance organizational AI readiness
- Skills in developing an AI-ready culture
- Knowledge of creating structures and processes for AI adoption
- Expertise in managing organizational change for AI
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
Find the right course for you
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 Building an AI-Ready Organization and Culture 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.