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Training on Generative AI and Advanced Prompt Engineering

Master generative AI and advanced prompt engineering. Learn LLM workflows, AI automation, prompt optimization, AI governance, and enterprise AI applications.
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Last updated May 2026
English
Level: Intermediate Format: In-Person Duration: 5 Days Certification
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Training on Generative AI and Advanced Prompt Engineering - Course Cover Image
Next scheduled session
22 Jun 2026 - 26 Jun 2026
Kisumu, Kenya
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Course Overview

UPDATED 4 weeks ago

Generative Artificial Intelligence (GenAI) is transforming how organizations create content, automate workflows, analyze information, and support decision-making. Large Language Models (LLMs) and multimodal AI systems now power enterprise applications across customer service, research, software development, marketing, education, healthcare, cybersecurity, and business operations.

This course provides participants with practical and strategic expertise in generative AI systems and advanced prompt engineering techniques for enterprise and professional applications. The training focuses on how to design effective prompts, optimize AI outputs, automate workflows, and integrate generative AI into organizational processes responsibly and efficiently.

Participants will learn how modern generative AI models function, how to structure prompts for different use cases, and how to apply advanced techniques such as chain-of-thought prompting, retrieval-augmented generation (RAG), role prompting, prompt chaining, context management, and AI workflow orchestration. The course also explores AI governance, ethical considerations, hallucination management, security risks, and enterprise implementation strategies.

Through hands-on labs, simulations, real-world business scenarios, and AI-assisted productivity exercises, participants develop the capability to design high-performing AI interactions that improve operational efficiency, innovation, and decision-making.

Duration

5 Days

Who Should Attend

• Business and innovation professionals
• AI and digital transformation teams
• Content creators and communication specialists
• Software developers and technical professionals
• Researchers and knowledge management professionals
• Data analysts and automation specialists
• Entrepreneurs, consultants, and project managers

Course Impact

Individual Impact

• Strengthen expertise in generative AI and prompt engineering
• Improve ability to create high-quality AI-generated outputs
• Enhance productivity using AI-assisted workflows
• Build practical skills in AI automation and orchestration
• Increase competitiveness in AI-enabled professional environments

Organizational Impact

• Improve operational efficiency and workflow automation
• Strengthen innovation and knowledge management capabilities
• Enhance quality and speed of content generation and analysis
• Reduce repetitive workload through AI-assisted processes
• Support responsible and scalable enterprise AI adoption

Course Objectives

By the end of this course, participants will be able to:

• Understand core concepts behind generative AI and LLMs
• Design effective prompts for diverse enterprise applications
• Apply advanced prompt engineering techniques and frameworks
• Automate workflows using generative AI tools and integrations
• Optimize AI outputs for quality, accuracy, and relevance
• Manage hallucinations, bias, and AI security risks
• Integrate generative AI into organizational operations responsibly
• Develop scalable AI-assisted productivity and innovation strategies

Course Outline

Module 1: Foundations of Generative AI and Large Language Models

• Introduction to generative AI and LLM ecosystems
• How transformer models and LLMs work
• Types of generative AI systems and applications
• Capabilities, limitations, and risks of GenAI
• Exercise: Assess enterprise GenAI readiness
• Case Study: Enterprise adoption of generative AI

Module 2: Fundamentals of Prompt Engineering

• Principles of effective prompting
• Prompt structure, clarity, and context design
• Zero-shot, one-shot, and few-shot prompting
• Role-based prompting and instruction design
• Practical: Build optimized prompts for business tasks
• Case Study: Prompt engineering for productivity improvement

Module 3: Advanced Prompt Engineering Techniques

• Chain-of-thought prompting strategies
• Prompt chaining and workflow orchestration
• Tree-of-thought and reasoning frameworks
• Context window optimization and memory management
• Exercise: Develop multi-step AI reasoning workflows
• Case Study: Advanced prompting for analytical tasks

Module 4: Retrieval-Augmented Generation (RAG) and Knowledge Systems

• Foundations of retrieval-augmented generation
• Vector databases and embeddings concepts
• Connecting AI models to enterprise knowledge bases
• Improving factual consistency and reducing hallucinations
• Practical: Design a RAG-enabled AI workflow
• Case Study: AI-powered enterprise knowledge management

Module 5: AI Content Generation and Business Applications

• AI-assisted writing, summarization, and reporting
• Marketing, communications, and content automation
• AI applications in research and decision support
• Multimodal AI and image generation concepts
• Exercise: Create enterprise AI content workflows
• Case Study: AI-enhanced operational productivity

Module 6: Generative AI for Coding and Technical Workflows

• AI-assisted software development and debugging
• Prompting for code generation and documentation
• AI copilots and developer productivity tools
• Managing accuracy and security in AI-generated code
• Practical: Develop AI-assisted coding workflows
• Case Study: Accelerating software delivery with AI

Module 7: AI Automation and Workflow Integration

• Integrating generative AI into enterprise processes
• AI agents and workflow automation systems
• API integrations and orchestration platforms
• Human-AI collaboration models
• Exercise: Design an AI workflow automation strategy
• Case Study: Enterprise AI process transformation

Module 8: Hallucination Management, Evaluation, and Optimization

• Understanding hallucinations and model errors
• Prompt testing and output validation techniques
• AI output evaluation frameworks
• Improving reliability, consistency, and relevance
• Practical: Conduct AI output quality assessments
• Case Study: Managing enterprise AI quality risks

Module 9: AI Governance, Ethics, and Security

• Responsible AI principles and governance models
• Bias, fairness, and transparency considerations
• Privacy, intellectual property, and compliance issues
• Prompt injection and AI security risks
• Exercise: Conduct an AI governance assessment
• Case Study: Governance failures in generative AI systems

Module 10: Capstone Simulation and Future Trends in Generative AI

• End-to-end enterprise AI workflow simulation
• Designing scalable prompt engineering frameworks
• Emerging trends in multimodal AI and autonomous agents
• Future of work and AI transformation strategies
• Capstone Exercise: Develop a generative AI implementation roadmap
• Case Study: Future-ready AI-enabled organizations

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration and Investment

Whether you join us in a physical boardroom or through our virtual campus, we’ve designed every administrative detail for a seamless, professional experience.

1. Training Fees & Inclusions

Our fees are all inclusive during course hours.

  • Covered: High level tuition, comprehensive materials (digital + physical), mid morning and afternoon refreshments, a full executive lunch, and any scheduled study visits or site tours.
  • Not covered: Travel, visa fees, medical/travel insurance, personal expenses, and accommodation.
2. Enrolment and Onboarding

From registration to the classroom, we keep things clear and efficient.

  • Registration: Find your preferred schedule, click “Register,” complete the form, and submit. Need help? Talk to us directly.
  • Pre Course Assessment: After registering, you’ll receive a diagnostic survey to help facilitators tailor content to your needs.
  • Joining Instructions: Once fees are paid, you’ll receive a Delegate Welcome Pack at least 7 days before the start date (venue maps, virtual access links, and pre reading materials).
3. Logistics and Learning Environment

We provide premium environments optimized for adult learning and networking.

  • Physical Venues: Premium 4 star and 5 star executive boardrooms across our global host cities, with high tier catering.
  • Virtual Instructor Led Training (VILT): High definition, interactive platforms featuring breakout rooms, digital whiteboards, and live technical support.
  • NITA and Regulatory Compliance: Administrative processes align with national training authorities.
4. Materials & Technical Support

You’ll leave with tools that extend the course value far beyond the final day.

  • ForElite Learner Kit: A physical or digital course manual, proprietary templates, and a curated toolkit of industry standard SOPs.
  • On Site / In App Support: Dedicated course coordinators handle technical, dietary, or logistical inquiries in real time.
5. Certification & Assessment

We validate your commitment to excellence with internationally recognized credentials.

  • Attendance Tracking: Rigorous daily logging to meet corporate and regulatory accreditation requirements.
  • Verifiable Credentials: Upon successful completion, you receive a certificate of course completion.
6. Post Course Continuity

Our relationship with you doesn’t end when the course closes.

  • Feedback & ROI Reporting: Detailed post course evaluations to give sponsors clear insight into training impact.
  • Alumni Network Access: Every delegate joins the ForElite Alumni Network for ongoing peer to peer learning and exclusive webinars.

When is the next intake?

Updated
June 2026
22 Jun - 26 Jun 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
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22 Jun - 26 Jun 2026
Zanzibar, Tanzania
5 days
USD 2,199
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22 Jun - 26 Jun 2026
Kigali, Rwanda
5 days
USD 1,799
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22 Jun - 26 Jun 2026
Kuala Lumpur, Malaysia
5 days
USD 6,399
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29 Jun - 3 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
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29 Jun - 3 Jul 2026
Accra, Ghana
5 days
USD 5,999
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29 Jun - 3 Jul 2026
Dakar, Senegal
5 days
USD 3,999
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29 Jun - 3 Jul 2026
Mandaluyong, Philippines
5 days
USD 2,499
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July 2026
6 Jul - 10 Jul 2026
Nairobi, Kenya
5 days
KES 99,999
USD 1,399
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6 Jul - 10 Jul 2026
Dubai, United Arabs Emirates
5 days
USD 3,999
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6 Jul - 10 Jul 2026
Zanzibar, Tanzania
5 days
USD 2,199
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6 Jul - 10 Jul 2026
Cape Town, South Africa
5 days
USD 3,299
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6 Jul - 10 Jul 2026
Abuja, Nigeria
5 days
USD 3,799
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13 Jul - 17 Jul 2026
Mombasa, Kenya
5 days
KES 119,999
USD 1,399
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13 Jul - 17 Jul 2026
Kampala, Uganda
5 days
USD 1,999
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13 Jul - 17 Jul 2026
Accra, Ghana
5 days
USD 5,999
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13 Jul - 17 Jul 2026
Kigali, Rwanda
5 days
USD 1,799
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13 Jul - 17 Jul 2026
Singapore, Singapore
5 days
USD 6,399
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20 Jul - 24 Jul 2026
Nakuru, Kenya
5 days
KES 104,999
USD 1,399
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20 Jul - 24 Jul 2026
Dar es Salaam, Tanzania
5 days
USD 1,999
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20 Jul - 24 Jul 2026
Johannesburg, South Africa
5 days
USD 2,899
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20 Jul - 24 Jul 2026
Dakar, Senegal
5 days
USD 3,999
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20 Jul - 24 Jul 2026
Kuala Lumpur, Malaysia
5 days
USD 6,399
Enroll Now
27 Jul - 31 Jul 2026
Kisumu, Kenya
5 days
KES 109,999
USD 1,399
Enroll Now
27 Jul - 31 Jul 2026
Arusha, Tanzania
5 days
USD 1,999
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27 Jul - 31 Jul 2026
Pretoria, South Africa
5 days
USD 2,899
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27 Jul - 31 Jul 2026
Cairo, Egypt
5 days
USD 4,499
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27 Jul - 31 Jul 2026
Mandaluyong, Philippines
5 days
USD 2,499
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August 2026
3 Aug - 7 Aug 2026
Nairobi, Kenya
5 days
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3 Aug - 7 Aug 2026
Kampala, Uganda
5 days
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3 Aug - 7 Aug 2026
Johannesburg, South Africa
5 days
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3 Aug - 7 Aug 2026
Cairo, Egypt
5 days
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10 Aug - 14 Aug 2026
Mombasa, Kenya
5 days
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10 Aug - 14 Aug 2026
Dar es Salaam, Tanzania
5 days
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10 Aug - 14 Aug 2026
Pretoria, South Africa
5 days
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10 Aug - 14 Aug 2026
Abuja, Nigeria
5 days
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17 Aug - 21 Aug 2026
Nakuru, Kenya
5 days
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17 Aug - 21 Aug 2026
Arusha, Tanzania
5 days
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17 Aug - 21 Aug 2026
Cape Town, South Africa
5 days
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17 Aug - 21 Aug 2026
Singapore, Singapore
5 days
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24 Aug - 28 Aug 2026
Kisumu, Kenya
5 days
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24 Aug - 28 Aug 2026
Zanzibar, Tanzania
5 days
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24 Aug - 28 Aug 2026
Kigali, Rwanda
5 days
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24 Aug - 28 Aug 2026
Kuala Lumpur, Malaysia
5 days
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31 Aug - 4 Sep 2026
Dubai, United Arabs Emirates
5 days
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31 Aug - 4 Sep 2026
Accra, Ghana
5 days
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31 Aug - 4 Sep 2026
Dakar, Senegal
5 days
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31 Aug - 4 Sep 2026
Mandaluyong, Philippines
5 days
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September 2026
7 Sep - 11 Sep 2026
Nairobi, Kenya
5 days
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7 Sep - 11 Sep 2026
Dubai, United Arabs Emirates
5 days
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7 Sep - 11 Sep 2026
Zanzibar, Tanzania
5 days
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7 Sep - 11 Sep 2026
Cape Town, South Africa
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7 Sep - 11 Sep 2026
Abuja, Nigeria
5 days
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14 Sep - 18 Sep 2026
Mombasa, Kenya
5 days
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14 Sep - 18 Sep 2026
Kampala, Uganda
5 days
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14 Sep - 18 Sep 2026
Accra, Ghana
5 days
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14 Sep - 18 Sep 2026
Kigali, Rwanda
5 days
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14 Sep - 18 Sep 2026
Singapore, Singapore
5 days
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21 Sep - 25 Sep 2026
Nakuru, Kenya
5 days
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21 Sep - 25 Sep 2026
Dar es Salaam, Tanzania
5 days
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21 Sep - 25 Sep 2026
Johannesburg, South Africa
5 days
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21 Sep - 25 Sep 2026
Dakar, Senegal
5 days
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21 Sep - 25 Sep 2026
Kuala Lumpur, Malaysia
5 days
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28 Sep - 2 Oct 2026
Kisumu, Kenya
5 days
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28 Sep - 2 Oct 2026
Arusha, Tanzania
5 days
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28 Sep - 2 Oct 2026
Pretoria, South Africa
5 days
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28 Sep - 2 Oct 2026
Cairo, Egypt
5 days
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28 Sep - 2 Oct 2026
Mandaluyong, Philippines
5 days
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October 2026
5 Oct - 9 Oct 2026
Nairobi, Kenya
5 days
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5 Oct - 9 Oct 2026
Dubai, United Arabs Emirates
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5 Oct - 9 Oct 2026
Zanzibar, Tanzania
5 days
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5 Oct - 9 Oct 2026
Cape Town, South Africa
5 days
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5 Oct - 9 Oct 2026
Abuja, Nigeria
5 days
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12 Oct - 16 Oct 2026
Mombasa, Kenya
5 days
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12 Oct - 16 Oct 2026
Kampala, Uganda
5 days
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12 Oct - 16 Oct 2026
Accra, Ghana
5 days
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12 Oct - 16 Oct 2026
Kigali, Rwanda
5 days
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12 Oct - 16 Oct 2026
Singapore, Singapore
5 days
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19 Oct - 23 Oct 2026
Nakuru, Kenya
5 days
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19 Oct - 23 Oct 2026
Dar es Salaam, Tanzania
5 days
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19 Oct - 23 Oct 2026
Johannesburg, South Africa
5 days
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19 Oct - 23 Oct 2026
Dakar, Senegal
5 days
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19 Oct - 23 Oct 2026
Kuala Lumpur, Malaysia
5 days
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26 Oct - 30 Oct 2026
Kisumu, Kenya
5 days
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26 Oct - 30 Oct 2026
Arusha, Tanzania
5 days
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26 Oct - 30 Oct 2026
Pretoria, South Africa
5 days
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26 Oct - 30 Oct 2026
Cairo, Egypt
5 days
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26 Oct - 30 Oct 2026
Mandaluyong, Philippines
5 days
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November 2026
2 Nov - 6 Nov 2026
Nairobi, Kenya
5 days
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2 Nov - 6 Nov 2026
Kampala, Uganda
5 days
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2 Nov - 6 Nov 2026
Johannesburg, South Africa
5 days
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2 Nov - 6 Nov 2026
Cairo, Egypt
5 days
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9 Nov - 13 Nov 2026
Mombasa, Kenya
5 days
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9 Nov - 13 Nov 2026
Dar es Salaam, Tanzania
5 days
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9 Nov - 13 Nov 2026
Pretoria, South Africa
5 days
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9 Nov - 13 Nov 2026
Abuja, Nigeria
5 days
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16 Nov - 20 Nov 2026
Nakuru, Kenya
5 days
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16 Nov - 20 Nov 2026
Arusha, Tanzania
5 days
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16 Nov - 20 Nov 2026
Cape Town, South Africa
5 days
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16 Nov - 20 Nov 2026
Singapore, Singapore
5 days
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23 Nov - 27 Nov 2026
Kisumu, Kenya
5 days
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23 Nov - 27 Nov 2026
Zanzibar, Tanzania
5 days
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23 Nov - 27 Nov 2026
Kigali, Rwanda
5 days
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23 Nov - 27 Nov 2026
Kuala Lumpur, Malaysia
5 days
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30 Nov - 4 Dec 2026
Dubai, United Arabs Emirates
5 days
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30 Nov - 4 Dec 2026
Accra, Ghana
5 days
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30 Nov - 4 Dec 2026
Dakar, Senegal
5 days
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30 Nov - 4 Dec 2026
Mandaluyong, Philippines
5 days
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December 2026
7 Dec - 11 Dec 2026
Nairobi, Kenya
5 days
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7 Dec - 11 Dec 2026
Dubai, United Arabs Emirates
5 days
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7 Dec - 11 Dec 2026
Zanzibar, Tanzania
5 days
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7 Dec - 11 Dec 2026
Cape Town, South Africa
5 days
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7 Dec - 11 Dec 2026
Abuja, Nigeria
5 days
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14 Dec - 18 Dec 2026
Mombasa, Kenya
5 days
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14 Dec - 18 Dec 2026
Kampala, Uganda
5 days
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14 Dec - 18 Dec 2026
Accra, Ghana
5 days
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14 Dec - 18 Dec 2026
Kigali, Rwanda
5 days
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14 Dec - 18 Dec 2026
Singapore, Singapore
5 days
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21 Dec - 25 Dec 2026
Nakuru, Kenya
5 days
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21 Dec - 25 Dec 2026
Dar es Salaam, Tanzania
5 days
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21 Dec - 25 Dec 2026
Johannesburg, South Africa
5 days
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21 Dec - 25 Dec 2026
Dakar, Senegal
5 days
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21 Dec - 25 Dec 2026
Kuala Lumpur, Malaysia
5 days
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28 Dec - 1 Jan 2027
Kisumu, Kenya
5 days
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28 Dec - 1 Jan 2027
Arusha, Tanzania
5 days
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28 Dec - 1 Jan 2027
Pretoria, South Africa
5 days
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28 Dec - 1 Jan 2027
Cairo, Egypt
5 days
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28 Dec - 1 Jan 2027
Mandaluyong, Philippines
5 days
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We turn knowledge into results. Using our P.E.A.K. Framework (Prepare, Engage, Apply, Know), every participant leaves with practical skills they can use immediately.

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In the last 12 months, over 1,200 professionals have applied the P.E.A.K. Framework to reduce onboarding time by an average of 30% and accelerate project delivery across 14 industries.

P.E.A.K Framework
Prepare: Set the context and outcomes.
Engage: Keep sessions interactive and relevant.
Apply: Practice with real scenarios and tools.
Know: Validate understanding and next steps.
Key Learning Methods
Experiential "Sandbox" Workshops
Practice real scenarios in a safe, hands-on environment.
Global & Regional Case Studies
Learn from organizations like Apple and Safaricom to uncover diverse strategies.
Interactive Peer-to-Peer Labs
Collaborate, share insights, and solve problems alongside fellow professionals.
Practical Strategy Audits
Receive expert feedback to improve your current projects.
Simulation & Role-Playing
Build confidence handling leadership, communication, and crisis situations.
Professional Toolkit
Access ready-to-use templates, SOPs, and frameworks for immediate application.
90-Day Implementation Plan
Leave with a clear, actionable roadmap for your workplace.
Post-Training Support
Up to 6 months of support, including up to three virtual follow-up sessions as needed.

The outcome: Participants don’t just learn. They gain the tools, confidence, and strategy to drive measurable impact.

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We replace generic examples with scenarios from your sector (e.g., public sector, NGOs, financial services, or logistics).

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Training on Generative AI and Advanced Prompt Engineering FAQs

Quick answers to common questions about this course

Generative AI refers to artificial intelligence systems capable of creating content such as text, images, code, audio, and videos based on prompts and learned patterns from large datasets.
Prompt engineering is the practice of designing and optimizing instructions or prompts to guide AI systems toward producing accurate, relevant, and high-quality outputs.
Advanced prompt engineering improves AI reliability, reasoning quality, workflow automation, and output precision while reducing hallucinations and irrelevant responses.
RAG is an AI framework that combines large language models with external knowledge retrieval systems to improve factual accuracy and contextual relevance.
Industries including healthcare, finance, education, cybersecurity, marketing, software development, logistics, consulting, media, and public administration benefit significantly from generative AI technologies.

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