Day 1
Module 1: Foundations of AI Automation
- Digital Transformation and Automation
- AI vs Traditional Automation
- RPA vs Workflow Automation vs AI Automation
- AI Agents Explained
- Business Benefits of Automation
- Automation Maturity Model
- Common Automation Use Cases
- Automation Success Factors
Hands-on Activities
- Identify automation opportunities
- Analyze current manual workflows
Module 2: Modern AI Automation Ecosystem
Overview of:
- ChatGPT
- ChatGPT Projects
- Gemini
- Gemini Gems
- Claude
- Claude Artifacts
- Microsoft Copilot
- Microsoft 365 Copilot
- Manus AI
- Perplexity AI
- Grok
- Kimi AI
- NotebookLM
- Zapier
- Make.com
- Microsoft Power Automate
- n8n
- Emerging AI Agent platforms
Hands-on Activities
- Comparing AI assistants
- Selecting the right automation platform
Module 3: Prompt Engineering for AI Automation
- Structured prompting
- Context engineering
- Role prompting
- Multi-step prompting
- Prompt chaining
- Workflow prompting
- Reusable prompt libraries
- Error reduction techniques
Hands-on Activities
- Build reusable prompts
- Create prompt templates for automation
Module 4: Mapping & Designing Automation Workflows
- Process mapping
- Workflow optimization
- Identifying automation triggers
- Inputs and outputs
- Decision logic
- Exception handling
- Human-in-the-loop design
- Automation documentation
Hands-on Activities
- Design an AI workflow using flowcharts
- Group workflow exercise
Day 2
Module 5: AI-Powered Office Productivity Automation
Automating:
- Email drafting
- Meeting summaries
- Report generation
- Proposal creation
- Document review
- Translation
- Research
- Knowledge management
Using
- ChatGPT Projects
- Gemini Gems
- Microsoft 365 Copilot
- Claude Artifacts
- NotebookLM
Hands-on Activities
Automate a complete document creation workflow.
Module 6: No-Code Automation Platforms
Introduction to:
- Zapier
- Make.com
- Microsoft Power Automate
- n8n
Concepts:
- Triggers
- Actions
- Conditions
- Variables
- Loops
- Webhooks
- AI integrations
- Approval workflows
Hands-on Activities
Participants build automation workflows such as:
- AI email assistant
- Document approval workflow
- Notification automation
- AI-powered report generation
Module 7: AI Agents & Intelligent Automation
- What are AI Agents?
- Autonomous workflows
- Multi-agent collaboration
- AI planning
- Task orchestration
- Human oversight
- Agent limitations
- Enterprise AI agents
Using
- Manus AI
- ChatGPT
- Claude
- Gemini
- Emerging agent platforms
Hands-on Activities
Design an AI agent workflow for a business scenario.
Module 8: Responsible AI Automation
- AI governance
- Privacy
- Security
- Compliance
- AI bias
- Hallucinations
- Human validation
- Monitoring automated workflows
Hands-on Activities
Evaluate and improve an AI automation workflow for compliance and reliability.
Day 3
Session 1: Departmental Automation Use Cases
Automation opportunities across:
- Human Resources
- Finance
- Procurement
- Sales
- Marketing
- Customer Service
- Operations
- Project Management
Hands-on Activities
Participants map automation opportunities for their own department.
Session 2: Building End-to-End AI Automation Solutions
- Connecting multiple AI tools
- Multi-step workflows
- Cross-platform automation
- Error handling
- Workflow optimization
- Performance measurement
- Documentation
- Deployment considerations
Hands-on Activities
Develop a complete AI-powered workflow integrating multiple platforms.
Session 3: Capstone Project: Build an AI Automation Workflow
Participants work individually or in teams to design and implement a complete automation solution for a realistic business problem.
Deliverables include:
- Workflow diagram
- AI prompts
- Automation logic
- Platform selection
- Governance considerations
- Expected business benefits
Session 4: Future Trends, Roadmap & Presentations
- Hyperautomation
- Agentic AI
- Autonomous enterprises
- AI copilots in the workplace
- AI workflow governance
- Measuring automation ROI
- Organizational AI adoption roadmap
- Continuous improvement
Final Activities
- Team presentations
- Peer review
- Instructor feedback
- Personal AI automation action plan
- Workshop wrap-up