Day 1
Module 1: The Modern AI Productivity Landscape
- Evolution of AI in the workplace
- AI productivity trends in 2026
- Understanding Generative AI
- AI as a personal productivity assistant
- Choosing the right AI tool
- Strengths and limitations of different AI platforms
- Human-AI collaboration principles
AI Platforms Introduced
- ChatGPT
- Gemini
- Claude
- Copilot
- Grok
- Kimi
- Manus
- Perplexity
- Google AI Studio
Hands-on Activities
- Exploring the capabilities of multiple AI platforms
- Comparing AI responses for common workplace tasks
- Selecting the most suitable AI tool for different scenarios
Module 2: Mastering AI Productivity Platforms
Deep dive into:
ChatGPT
- Custom instructions
- ChatGPT Projects
- ChatGPT Sites
- Memory
- Canvas
- Advanced reasoning
Google Gemini
- Gemini Apps
- Gemini Gems
- Workspace integration
- Deep Research
Microsoft Copilot
- Microsoft Copilot
- Microsoft 365 Copilot
- Word
- Excel
- PowerPoint
- Outlook
- Teams
Claude
- Claude Projects
- Claude Artifacts
- Long-context reasoning
Other AI Platforms
- Grok
- Manus AI
- Kimi AI
- Perplexity AI
- NotebookLM
- Google AI Studio
Hands-on Activities
Participants compare productivity features across multiple AI tools and identify the best platform for writing, coding, analysis, presentations, research, and collaboration.
Module 3: Prompt Engineering for Maximum Productivity
- Prompt engineering fundamentals
- Role-based prompting
- Context engineering
- Task decomposition
- Chain prompting
- Prompt refinement
- Structured outputs
- Reusable prompt templates
- Prompt libraries
Workplace Prompt Examples
- Emails
- Reports
- Meeting minutes
- Business proposals
- SOPs
- Policies
- Job descriptions
- Performance reviews
- Project plans
Hands-on Activities
Participants build a personal prompt library tailored to their job functions.
Module 4: AI for Everyday Workplace Productivity
Using AI for:
- Professional writing
- Email drafting
- Document creation
- Report generation
- Presentation development
- Meeting summaries
- Spreadsheet assistance
- Brainstorming
- Translation
- Knowledge management
- Time-saving workflows
AI Platforms Used
- ChatGPT Projects
- Claude Artifacts
- Gemini Gems
- Microsoft Copilot
- Google AI Studio
Hands-on Activities
Participants create:
- Business report
- Executive summary
- Professional presentation
- AI-assisted workflow
Day 2
Module 5: AI for Research, Analysis & Decision Support
- AI-powered research
- Deep research techniques
- Source verification
- Data summarization
- Market analysis
- Competitor analysis
- Strategic insights
- Knowledge synthesis
AI Platforms
- Perplexity AI
- Gemini Deep Research
- ChatGPT
- Claude
- NotebookLM
- Google AI Studio
Hands-on Activities
Participants conduct a business research project using multiple AI platforms and compare results for accuracy, depth, and reliability.
Module 6: AI Automation & Smart Workflows
- AI workflow design
- AI agents and task delegation
- AI-powered automation concepts
- Multi-step AI workflows
- Cross-platform productivity
- AI collaboration
- Document automation
- Knowledge automation
AI Platforms
- ChatGPT Projects
- Claude Artifacts
- Manus AI
- Google AI Studio
- Microsoft 365 Copilot
- Gemini Gems
Hands-on Activities
Participants design and implement an end-to-end AI-assisted workflow that automates a recurring workplace process.
Module 7: Building AI-Powered Business Solutions
- Rapid prototyping with AI
- Creating internal AI assistants
- AI-generated web applications
- Interactive dashboards
- Business calculators
- Knowledge portals
- AI-powered forms
- AI-assisted project management
Platforms Covered
- Google AI Studio
- ChatGPT Sites
- Claude Artifacts
- Manus AI
Hands-on Activities
Participants build a simple AI-powered business application, such as a leave request assistant, meeting summarizer, report generator, or customer FAQ portal.
Module 8: Future AI Productivity & Personal AI Toolkit
- Emerging AI trends in 2026
- AI agents and autonomous workflows
- Reasoning AI models
- AI collaboration ecosystems
- Enterprise AI adoption
- Responsible AI practices
- Privacy and governance
- Building a personal AI productivity stack
- AI learning roadmap
Final Capstone Exercise
Participants work in teams to solve a realistic business challenge by combining multiple AI platforms—including ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Studio, Manus, Grok, and Kimi—to research information, generate content, automate tasks, develop a prototype, and present a complete AI-assisted business solution.