COURSE OUTLINE

Day 1: Introduction and Productivity Enhancement

Focus: Mastering the AI interface and transforming the core office workflow.

• Introduction to the Generative Era: Understanding what Gemini is and how it functions as a "thought partner" rather than a search engine.
• The AI Toolkit Overview: Exploring the Gemini web interface vs. Gemini for Google Workspace integrations.
• Workplace Productivity Unleashed: Identifying "High-Frequency, Low-Value" tasks to delegate to AI.
• Document Generation & Refinement:
• Using "Help me write" in Google Docs for drafting project briefs and creative copy.
• Iterative editing: Asking AI to "shorten," "change tone," or "bulletize" existing text.
• Communication Enhancement:
• Drafting and refining professional emails in Gmail.
• Using AI to synthesize meeting notes and action items.
• Visual Presentations & Reports:
• Generating presentation outlines and custom imagery in Google Slides.
• Automating report layouts and data visualization.
• Hands-on Exercises: Creating a complete "New Project Kit" (Email announcement, Project Charter, and Pitch Deck) using AI.

Day 2: Practical Applications and Responsible Usage

Focus: Research, automation, and safe organizational deployment.

• AI for Personal Productivity: Building custom "Gems" (personalized AI experts) to handle recurring personal tasks.
• Advanced Research & Summarization:
• Using NotebookLM and Gemini to "chat" with long PDFs or dense research papers.
• Extracting key data points from complex tables and web sources.
• Task Automation in Sheets:
• Using AI to generate complex formulas and organize messy data sets.
• Automating classification and sentiment analysis of customer feedback.
• Prompt Engineering Basics:
• The "Perfect Prompt" formula: Role + Context + Task + Format.
• Learning the "Negative Prompt" (what not to include).
• Ethical AI Usage: Recognizing "Hallucinations" and the importance of fact-checking AI output.
• Security and Privacy Awareness:
• Understanding Google’s data privacy commitment (your data is not used to train public models).
• Best practices for handling sensitive or proprietary information.
• Practical Business Scenarios:
• Role-playing real-world challenges: "The Last Minute Client Request" or "The Data Overload Crisis."
• Final Project: Designing an "AI Workflow Roadmap" tailored to each participant's specific job role.