This 2-day programme introduces professionals to the practical applications of Artificial Intelligence (AI) in the workplace. Participants will develop a solid understanding of fundamental AI concepts and gain hands-on experience using leading AI platforms, including Claude, ChatGPT, Claude, Gemini, and Microsoft Copilot, to support everyday workplace tasks.

Through practical exercises and real-world scenarios, participants will learn prompt engineering techniques to improve the quality, accuracy, and efficiency of AI-generated outputs. The programme also explores how AI can be effectively integrated into professional workflows to enhance productivity, streamline operations, and support better decision-making. Throughout the training, emphasis is placed on critical thinking, responsible AI usage, data privacy, and best practices for leveraging AI safely and effectively in the workplace.

Learning Objectives

• Understand core AI concepts and workplace applications
• Identify appropriate AI tools for different business tasks
• Apply effective prompt engineering techniques to generate useful outputs
• Use AI to support analysis and reporting
• Apply safe and responsible AI practices in the workplace

Who Should Attend

• Managers and team leaders
• HR, Admin, Finance, Marketing, Sales, Operations professionals
• Business owners and SME leaders
• Employees with little to no technical background in AI

Course Outline

Day 1: AI Fundamentals & Practical Workplace Usage

Module 1: Introduction to AI

• AI Explained: Simple, non-technical overview of Generative, and Automation AI.
• Organizational Impact: Real-world cases in HR, and Admin within the Malaysian.

Module 2: AI Tools & Use Cases

• Tool Selection: Overview of popular general vs. task-specific AI platforms.
• Strategic : Choosing the right tool based on strengths and limitations.

Module 3: Prompt Engineering for Professionals

• Effective Frameworks: Specific, and outcome-based prompts.
• Practical Workflows: Drafting emails and summarizing documents.
• Avoid Pitfalls: Identifying and correcting common prompting mistakes.

Module 4: Applying AI Outputs Effectively

• Review & Refine: Knowing when to rewrite, or reject AI-generated content.
• Human-First Approach: Using AI as a productivity assistant, not a primary decision-maker.

Day 2: Business Application & Responsible AI

Module 5: Analysis & Critical Thinking

• Strategic Support: Using AI for analysis, risk identification, and idea validation.
• Smart Inquiry: Formulating better questions to extract deeper business insights.
• ritical Evaluation: Balancing AI speed with necessary human judgment.

Module 6: Documents, Excel & Presentations

• Report & Slide Creation: Building professional outlines, structures, and content quickly.
• Data Efficiency: Generating Excel formulas, summaries, and automated tables.
• Hands-on Activity: Practical application to enhance workplace deliverables.

Module 7: Safe & Ethical AI Use

• Risk Mitigation: Addressing data privacy, confidentiality, and accuracy issues.
• Responsible Adoption: Navigating bias and organizational usage guidelines.
• Best Practices: Establishing a framework for ethical and reliable AI integration.

Download the course outline here

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