Day 1
Module 1 : Understanding AI & Generative AI
- What is Artificial Intelligence?
- Evolution of AI
- AI vs Machine Learning vs Deep Learning
- What is Generative AI?
- AI Terminologies Everyone Should Know
- Current AI Landscape (2026)
- How Large Language Models (LLMs) Work
- Capabilities and Limitations of AI
- AI Myths vs Reality
Hands-on Activities
- Exploring multiple AI models
- First interaction with ChatGPT and Gemini
- AI capability demonstrations
Module 2: Exploring Today’s Leading AI Platforms
Overview and comparison of:
- ChatGPT
- ChatGPT Projects
- Google Gemini
- Gemini Gems
- Claude
- Grok
- Microsoft Copilot
- Microsoft 365 Copilot
- Perplexity AI
- Kimi AI
- Manus AI
- NotebookLM
- Emerging AI tools in 2026
Comparison Criteria
- Best for writing
- Best for coding
- Best reasoning
- Best research
- Best document creation
- Best presentations
- Best productivity
- Best image generation
- Best enterprise usage
Hands-on Activities
- Compare responses from multiple AI platforms
- Choosing the right AI tool for different tasks
Module 3: Prompt Engineering Essentials
- Anatomy of an effective prompt
- Prompt frameworks
- Role prompting
- Context prompting
- Task prompting
- Chain-of-thought prompting
- Prompt refinement
- AI conversation techniques
- Prompt libraries
Practical Prompt Types
- Emails
- Reports
- Summaries
- Brainstorming
- Translation
- Meeting minutes
- SOP creation
- Policy drafting
Hands-on Activities
- Writing high-quality prompts
- Prompt optimization exercises
Module 4: AI for Everyday Productivity
Using AI for
- Email writing
- Document drafting
- Professional reports
- Meeting summaries
- PowerPoint generation
- Brainstorming
- Content creation
- Translation
- Spreadsheet assistance
- Personal productivity
Featuring
- ChatGPT Projects
- Gemini Gems
- Microsoft Copilot
- Claude Artifacts
Hands-on Activities
Participants create:
- Professional email
- Meeting summary
- Proposal
- Presentation outline
- AI-assisted workflow
Day 2
Module 5: AI Research, Analysis & Knowledge Management
- AI-powered research
- Fact checking
- Source verification
- Deep research
- Knowledge discovery
- AI-assisted learning
Using
- Perplexity AI
- Gemini Deep Research
- ChatGPT
- NotebookLM
- Claude
Hands-on Activities
Research a business topic using multiple AI platforms and compare findings.
Module 6: AI Collaboration & Workplace Integration
Microsoft 365 Copilot
- Word
- Excel
- PowerPoint
- Outlook
- Teams
Google Workspace AI
- Gmail
- Docs
- Sheets
- Slides
- Drive
AI-assisted collaboration
- Brainstorming
- Meeting preparation
- Project planning
- Documentation
Hands-on Activities
Create workplace documents using AI assistants.
Module 7: Responsible AI, Ethics, Governance & Security
Topics
- AI ethics
- Responsible AI principles
- AI bias
- Hallucinations
- Data privacy
- Intellectual property
- Copyright
- Confidential information
- AI governance
- Organizational AI policies
- Human oversight
- AI risk management
Case Studies
- AI failures
- Workplace AI policies
- Responsible AI decision-making
Hands-on Activities
Evaluate AI-generated responses for accuracy, bias, and compliance.
Module 8: Future of AI & Building Your Personal AI Toolkit
Topics
Latest AI Trends
- AI Agents
- Autonomous AI
- Multi-agent systems
- AI automation
- Voice AI
- AI video generation
- AI search
- AI reasoning models
- Enterprise AI adoption
- AI career skills
Building Your Personal AI Toolkit
- Selecting the right AI tools
- Daily AI workflow
- AI productivity stack
- Future learning roadmap
Workshop Wrap-Up
- Best practices
- AI adoption strategy
- Personal action plan
Final Practical Exercise
Participants complete a workplace case study by selecting and combining multiple AI platforms (e.g., ChatGPT, Gemini, Claude, Perplexity, Copilot, Manus, and Grok) to research, create, refine, and present a business solution, demonstrating an end-to-end AI-assisted workflow.