COURSE PHILOSOPHY:
Productivity is no longer about working faster — it is about designing intelligent systems where humans think and AI executes.
This program trains participants to:
- Architect AI-augmented work systems
- Redesign cognitive labor
- Build decision intelligence
- Engineer scalable personal & organizational productivity
Overall Course Objectives:
By the end of this program, participants will be able to:
- Design AI-augmented personal and team productivity systems
- Use advanced AI tools for thinking, planning, execution, and decision-making
- Automate repetitive cognitive and operational work
- Apply AI ethically, securely, and strategically in professional environments
- Create role-specific AI workflows (executive, manager, analyst, HR, finance, operations)
Key Outcomes & Takeaways:
Participants will leave with:
- A personal AI productivity stack
- Ready-to-use AI workflows & automation templates
- Advanced prompt engineering playbooks
- AI-powered decision, planning, and execution frameworks
- A 90-day AI productivity transformation roadmap
Course Outline:
Foundations of Advanced AI Productivity Systems
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Theme: From Tools to Thinking Systems |
Module 1: The New Productivity Paradigm in the AI Era
- Why traditional productivity methods fail today
- AI as a cognitive multiplier, not just an automation tool
- Human–AI collaboration models
- Productivity vs. performance vs. impact
Module 2: Understanding AI Capabilities for Knowledge Work
- Generative AI vs. Analytical AI vs. Agentic AI
- Strengths, limitations, and blind spots of AI
- When to trust AI and when not to
- Productivity use-cases across professions
Module 3: Building Your Personal AI Productivity Stack
- Core categories: thinking, writing, planning, analyzing, executing
- Selecting the right AI tools for your role
- Integrating AI with existing digital tools (email, calendar, docs)
- Avoiding tool overload
Module 4: Advanced Prompt Engineering for Productivity
- Prompt frameworks for clarity, depth, and speed
- Role-based, task-based, and outcome-based prompts
- Iterative prompting and refinement techniques
- Prompt libraries for daily professional tasks
Module 5: AI for Focus, Attention & Cognitive Load Management
- Reducing decision fatigue with AI
- AI-assisted prioritization & task filtering
- Managing information overload
- AI as a “second brain”
Module 6: Hands-On Lab – Designing Your AI Productivity Blueprint
- Mapping daily, weekly, and monthly workflows
- Identifying AI leverage points
- Creating a personalized AI productivity model
AI for Planning, Execution & Work Automation
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Theme: Doing More by Designing Smarter Workflows |
Module 7: AI-Driven Goal Setting & Strategic Planning
- Translating vision into executable plans
- AI-assisted OKRs, KPIs, and milestones
- Scenario planning with AI
- Risk-aware planning
Module 8: AI for Task Decomposition & Execution
- Breaking complex work into executable steps
- AI-generated task sequences
- Estimation, dependencies, and timelines
- Eliminating low-value tasks
Module 9: Automating Repetitive Knowledge Work
- Identifying automation opportunities
- AI for emails, reports, meeting notes, follow-ups
- Workflow automation concepts
- Human-in-the-loop design
Module 10: AI for Meetings & Collaboration Productivity
- Pre-meeting preparation with AI
- Real-time summarization & action tracking
- Decision documentation and accountability
- Reducing meeting fatigue
Module 11: AI-Assisted Documentation & Knowledge Management
- Creating structured, reusable knowledge assets
- AI for SOPs, manuals, playbooks
- Knowledge retrieval and reuse
- Institutional memory with AI
Module 12: Hands-On Lab – Automating a Daily Work Process
- Selecting a real work process
- Designing AI-enabled workflow
- Measuring time and effort savings
AI for Thinking, Analysis & Decision-Making
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Theme: Better Decisions at Higher Speed |
Module 13: AI-Augmented Critical Thinking
- Using AI to challenge assumptions
- Bias detection and mitigation
- Asking better questions with AI
- Structured reasoning frameworks
Module 14: AI for Research & Insight Generation
- Rapid research techniques
- Synthesizing large volumes of information
- Comparative analysis & trend detection
- Turning data into insights
Module 15: AI-Powered Decision Support Systems
- Decision trees and logic modeling
- Cost-benefit and trade-off analysis
- Risk and uncertainty modeling
- AI as a decision advisor, not decision maker
Module 16: AI for Problem-Solving & Innovation
- Framing problems effectively
- AI-supported root cause analysis
- Generating and testing solution options
- Innovation acceleration techniques
Module 17: AI for Financial, Operational & Performance Analysis
- AI-driven financial insights
- Productivity metrics and performance dashboards
- Forecasting and scenario simulation
- Executive-level analytics
Module 18: Hands-On Lab – AI-Driven Decision Case
- Real-world professional decision scenario
- AI-assisted analysis and recommendation
- Human judgment integration
Role-Based AI Productivity Applications
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Theme: Applying AI Where It Matters Most |
Module 19: AI Productivity for Executives & Senior Leaders
- Strategic thinking augmentation
- AI-supported leadership decision-making
- Board-level insights and briefings
- Time leverage for leaders
Module 20: AI Productivity for Managers & Team Leaders
- Team planning and coordination
- Performance tracking with AI
- Delegation and accountability systems
- AI-enabled coaching
Module 21: AI Productivity for Professionals & Specialists
- Analysts, consultants, engineers, HR, finance
- Role-specific AI workflows
- Quality control and validation
- Speed vs. accuracy balance
Module 22: AI for Personal Effectiveness & Career Growth
- AI as a career coach
- Skill gap analysis
- Learning acceleration
- Personal branding and professional writing
Module 23: AI-Assisted Communication & Influence
- Executive emails and reports
- Persuasive presentations with AI
- Stakeholder communication
- Storytelling with data
Module 24: Hands-On Lab – Role-Specific AI Workflow Design
- Participants design workflows for their roles
- Peer review and refinement
- Best practice sharing
Governance, Ethics & Sustainable AI Productivity
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Theme: Scaling AI Productivity Responsibly |
Module 25: AI Governance & Responsible Productivity
- Ethical use of AI at work
- Data privacy and confidentiality
- Compliance and policy considerations
- Avoiding over-dependence
Module 26: Managing Risks & Errors in AI-Driven Work
- AI hallucinations and inaccuracies
- Validation and verification methods
- Human oversight models
- Accountability frameworks
Module 27: Measuring AI Productivity Impact
- Productivity KPIs and benchmarks
- ROI of AI adoption
- Individual vs. organizational impact
- Continuous improvement loops
Module 28: Building an AI-Ready Productivity Culture
- Change management for AI adoption
- Upskilling teams
- Overcoming resistance
- Leadership roles in AI transformation
Module 29: Designing a 90-Day AI Productivity Transformation Plan
- Setting priorities
- Pilot projects
- Scaling successful workflows
- Governance and review mechanisms
Module 30: Capstone Exercise – Your AI Productivity Master Plan
- Presentation of individual plans
- Feedback and refinement
- Final toolkits and templates
- Action commitments
Final Deliverables
- AI Productivity Playbook
- Advanced Prompt Library
- Role-Based Workflow Templates
- Automation & Decision Frameworks
- 90-Day Implementation Roadmap