This intensive, hands-on training program is designed to move participants beyond theoretical understanding into practical, real-world application of Artificial Intelligence. The program focuses on how AI is actually used, deployed, and managed across business and operational environments.
Participants will learn core AI principles, then immediately apply them through practical exercises, use cases, live demonstrations, and guided implementation scenarios. The program emphasizes decision-making, prompt design, automation logic, AI workflows, and responsible AI usage, enabling participants to confidently use AI tools in their daily work and projects.
The training bridges the gap between knowing AI and using AI effectively.
By the end of the program, participants will be able to:
1. Understand core AI concepts and principles in a practical context.
2. Apply AI tools to real business and operational problems.
3. Design effective prompts and workflows for different AI use cases.
4. Use AI to automate tasks, support decisions, and improve productivity.
5. Translate AI theory into actionable implementation steps.
6. Apply ethical and responsible AI practices during execution.
- Day 1 | AI Foundations for Practice
- What AI really is (beyond hype)
- Types of AI and where each is used
- AI vs Automation vs Analytics
- Practical examples from business and government
- Hands-on: Using AI tools for daily productivity
- Day 2 | Prompt Engineering & AI Interaction
- How AI “thinks” and responds
- Prompt design techniques (basic → advanced)
- Structuring prompts for accuracy and control
- Hands-on: Writing prompts for real tasks
- Common mistakes and how to avoid them
- Day 3 | Applied AI Use Cases
- AI in operations, marketing, finance, HR, and customer service
- AI for data analysis and insights
- AI-assisted decision-making
- Hands-on: Build an AI-powered use case
- Group exercise: Solve a real scenario with AI
- Day 4 | Automation & AI Workflows
- Combining AI with automation tools
- Designing AI-driven workflows
- Task delegation to AI systems
- Hands-on: Build a simple automated AI workflow
- Measuring impact and efficiency gains
- Day 5 | Responsible AI & Implementation Roadmap
- Ethical AI principles in practice
- Bias, risk, and accountability
- AI governance at execution level
- From pilot to implementation
- Final exercise: Build your AI execution roadmap
Ø Professionals seeking practical AI skills
Ø Managers and team leaders
Ø Digital transformation practitioners
Ø Business analysts and innovators
Ø Technical and non-technical professionals
Ø Entrepreneurs and project owners
