• Module 1: Introduction to AI & Automation
  
• Module 2: AI Tools for Everyday Productivity
  
• Module 3: Workflow Automation Essentials
  
• Module 4: AI-Powered Data Analysis & Decision Making
  
• Module 5: Collaboration & Communication Automation
  
• Module 6: Building an AI & Automation Mindset
  
• Module 7: Practical Hands-On Exercises
  

In today’s fast-paced digital era, organizations are under constant pressure to work smarter, faster, and more efficiently. Repetitive tasks, manual reporting, and scattered communication often consume valuable time and reduce overall productivity. Artificial Intelligence (AI) and automation tools are transforming the way we work by enabling employees to focus on strategic, high-value activities while machines handle routine tasks.

This course introduces participants to the fundamentals of AI and workplace automation, highlighting practical applications that can be adopted immediately in daily work. Through real-world examples, hands-on exercises, and guided practice, participants will explore how AI assistants (like Microsoft Copilot, ChatGPT, and Notion AI) and automation platforms (such as Power Automate and Zapier) can streamline workflows, improve collaboration, and support better decision-making.

At the end of the session, participants will be equipped with the knowledge and confidence to identify opportunities for automation, leverage AI tools effectively, and build a productivity-focused mindset that balances human creativity with machine efficiency.

1. Understanding the concepts of Artificial Intelligence (AI) and automation, and how they impact workplace productivity.
   
2. Identifying repetitive and time-consuming tasks that can be streamlined using AI and automation tools.
   
3. Applying AI assistants (e.g., Microsoft Copilot, ChatGPT, Notion AI) to draft, summarize, analyse,
   and enhance everyday work tasks.
   
4. Building simple automation workflows using platforms such as Microsoft Power Automate or Zapier to improve efficiency.
   
5. Utilizing AI-powered analytics for reporting, decision- making, and data insights.
   
6. Enhancing collaboration through automated communication, task assignments, and meeting management.
   
7. Adopting an AI and automation mindset that balances human judgment with machine efficiency while considering ethical and security aspects.
   
8. Demonstrating hands-on skills in creating at least one AI-assisted workflow applicable to their own work environment.
   

• Interactive Presentation
  
• Group Discussions
  
• Group Activities
  
• Role Play
  
• Simulation
  
• Sharing Experience
  
• Gamification Method
  
• Case Studies