| 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 | |
|---|---|---|---|---|---|
| Sep 14–Sep 22, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 28–Oct 06, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 12–Oct 20, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 26–Nov 03, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 09–Nov 17, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 23–Dec 01, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 07–Dec 15, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 21–Dec 29, 2026 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 04–Jan 12, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 18–Jan 26, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 01–Feb 09, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 15–Feb 23, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 01–Mar 09, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 15–Mar 23, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 29–Apr 06, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 12–Apr 20, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 26–May 04, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 10–May 18, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| May 24–Jun 01, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 07–Jun 15, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 21–Jun 29, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jul 05–Jul 13, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Jul 19–Jul 27, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
| Aug 02–Aug 10, 2027 | 7 Days | KES 90,000 | USD 1,000 | Register | |
About the Course
Generative artificial intelligence has expanded from text generation into multimodal systems capable of producing, interpreting and transforming text, images, audio, code and other forms of content. Organizations are moving from experimentation toward more structured use cases, which requires professionals to understand how generative systems work, how outputs are grounded and evaluated, and where responsible-use controls are necessary.
This course is Devimpact Institute’s platform-neutral core programme on generative AI. It provides broader technical and application coverage than a prompt-engineering course, introducing large language model fundamentals, multimodal capabilities, text and image generation, retrieval-grounded generation, evaluation methods, responsible AI and solution design. The course is suitable for professionals who need a deeper understanding of generative AI without requiring advanced machine-learning engineering.
Participants experiment with representative generative AI workflows, compare approaches for different tasks, evaluate output quality and design a practical GenAI use case. The programme deliberately separates the technology and solution perspective from tool-specific ChatGPT training, which can instead be delivered as a short clinic or incorporated into practical demonstrations.
Target Participants
The course is suitable for digital transformation professionals, innovation teams, analysts, project staff, communications teams, researchers, managers, consultants, IT-adjacent professionals, product teams and other professionals who need a structured understanding of generative AI capabilities, applications, limitations and implementation considerations.
What You Will Learn
By the end of this course the participants will be able to:
- Explain the major capabilities and limitations of generative AI systems.
- Apply generative AI to text, image and multimodal tasks.
- Design prompts suited to different generative AI applications.
- Use retrieval-grounded approaches to improve contextual relevance.
- Evaluate generated outputs using quality and risk criteria.
- Identify appropriate generative AI use cases for organizational adoption.
- Apply responsible-use controls to generative AI workflows.
- Design a practical generative AI solution concept.
Course Duration
- Classroom – 5 Days
- Online – 7 Days
Course Outline
Generative AI Foundations
- Generative AI concepts
- Model families
- Foundation models
- Enterprise use cases
- Capability limitations
Large Language Model Fundamentals
- Token concepts
- Context windows
- Model inference
- Model variability
- Grounding limitations
Prompting for GenAI
- Instruction design
- Context provision
- Output constraints
- Examples and patterns
- Iterative refinement
Text Generation Applications
- Drafting workflows
- Summarization
- Transformation tasks
- Classification support
- Structured output generation
Image Generation Applications
- Image prompting
- Composition instructions
- Brand-use considerations
- Iteration techniques
- Image quality review
Multimodal AI Applications
- Image understanding
- Document interpretation
- Audio use cases
- Cross-modal workflows
- Multimodal task design
Retrieval-Augmented Generation (RAG)
- Knowledge grounding concepts
- Document retrieval workflows
- Context selection
- Source-aware responses
- Grounding quality checks
GenAI Evaluation
- Accuracy assessment
- Relevance assessment
- Consistency checks
- Bias review
- Human evaluation frameworks
Responsible GenAI
- Privacy and confidentiality
- Copyright considerations
- Bias and harmful outputs
- Disclosure and transparency
- Governance controls
GenAI Solution Design
- Use-case definition
- User workflow design
- Data and knowledge needs
- Control requirements
- Implementation concept
Practical Outputs
- Generative AI use-case map
- Multimodal prompt examples
- Text-generation workflow sample
- Retrieval-grounded workflow design
- GenAI evaluation checklist
- Generative AI solution concept
Training Approach
The programme combines concise conceptual explanations with hands-on demonstrations across text, document and multimodal use cases. Participants compare how different prompt, context and grounding approaches affect output quality and learn to evaluate results systematically.
Exercises are platform-neutral wherever possible and emphasize transferable concepts rather than dependence on a single product. Participants conclude by designing a GenAI solution concept that specifies the use case, workflow, knowledge requirements, risks and human controls.
Organizational Benefits
- Improved organizational understanding of generative AI capabilities.
- Better selection of suitable GenAI use cases.
- Higher-quality outputs through stronger prompt and grounding practices.
- Reduced risk from uncritical use of generated content.
- Improved collaboration between business and technical teams.
- A stronger foundation for responsible generative AI adoption.
Certification
Participants who successfully complete this course will receive a Certificate of Course Completion from Devimpact Institute, recognizing the knowledge, practical skills and competencies developed through the programme.
Tailor-Made Course
This course can be customized and delivered as an in-house programme to address the specific policies, systems, sector context and capacity-development priorities of an organization. The course duration, modules, case studies and practical exercises may be adjusted following a training needs assessment.
