Instructor-led 4-days
Course Description
This program trains professionals to build AI powered workflows inside Google Workspace using Gemini. Participants learn structured prompting, custom AI agents, research automation, document generation, and workflow automation across Docs, Gmail, Sheets, Slides, and Drive.
Key Course Takeaways
- Understand Gemini model capabilities and task selection
- Design structured prompts using CO-STAR
- Build reusable AI assistants called Gems
- Automate research and analysis workflows
- Integrate Gemini with Google Workspace tools
- Create automated AI driven workflows
Module 1: Gemini Ecosystem & Architecture
Focus: Understanding Gemini tools and environment setup.
1.1 Gemini model tiers
1.2 Workspace integration
1.3 Interface tools
1.4 Security model
Hands-On Lab: Configure Gemini workspace and run first productivity workflow
Module 2: Advanced Prompt Engineering (CO-STAR)
Focus: Designing structured prompts for reliable AI output.
2.1 Context design
2.2 Objective definition
2.3 Tone and style control
2.4 Few shot prompting
Hands-On Lab: Build prompt that replicates personal writing style
Module 3: Specialized AI Agents with Gems
Focus: Creating specialized AI assistants for recurring tasks.
3.1 Gem creation
3.2 Knowledge uploads
3.3 Role configuration
3.4 Workflow triggers
Hands-On Lab: Build Executive Assistant Gem
Module 4: Deep Research & Data Analysis
Focus: Using Gemini to perform complex research synthesis.
4.1 Deep Research mode
4.2 NotebookLM integration
4.3 Source summarization
4.4 Insight extraction
Hands-On Lab: Generate competitive market analysis report
Module 5: Google Workspace Integration
Focus: Using Gemini inside Gmail Docs Sheets and Slides.
5.1 Email drafting
5.2 Document generation
5.3 Spreadsheet formulas
5.4 Presentation design
Hands-On Lab: Build automated spreadsheet categorization system
Module 6: Automation with Google Opal
Focus: Building automated workflows using natural language.
6.1 Automation triggers
6.2 Scheduled actions
6.3 Voice workflows
6.4 Workflow orchestration
Hands-On Lab: Create automated inbox summarization workflow
Module 7: AI Content Production
Focus: Generating consistent content for marketing and communication.
7.1 Brand voice cloning
7.2 Content scaling
7.3 Editing workflows
7.4 Campaign drafts
Hands-On Lab: Create multi channel marketing content pack
Module 8: NotebookLM Knowledge Systems
Focus: Managing research sources and AI knowledge bases.
8.1 Source ingestion
8.2 Knowledge linking
8.3 Audio summaries
8.4 Research hubs
Hands-On Lab: Build internal research knowledge base
Module 9: Data Analysis with Gemini in Sheets
Focus: Using Gemini for dataset analysis.
9.1 Data cleaning
9.2 Sentiment analysis
9.3 Trend discovery
9.4 Chart generation
Hands-On Lab: Analyze customer feedback dataset
Module 10: Slides Media and Visual Generation
Focus: Generating presentations and media assets.
10.1 Slide generation
10.2 Image generation
10.3 Narrative building
10.4 Visual summarization
Hands-On Lab: Create presentation from research report
Module 11: Workflow Automation Systems
Focus: Designing automated productivity workflows.
11.1 Task automation
11.2 Workflow chaining
11.3 AI triggers
11.4 Monitoring
Hands-On Lab: Create automated daily briefing workflow
Module 12: AI Powered Workspace Strategy
Focus: Designing a complete AI productivity system.
12.1 Workflow design
12.2 Agent libraries
12.3 Automation strategy
12.4 Governance
Hands-On Lab: Build full AI powered productivity workspace blueprint