AI Tools for Workplace Productivity

AI Tools for Workplace Productivity

Duration: 1 Day Corporate Workshop

By the end of this workshop, participants will be able to:
  • Understand the fundamentals of AI, Generative AI, and modern workplace AI tools.
  • Write effective prompts to generate accurate and relevant business outputs.
  • Use AI tools to create emails, reports, summaries, and presentations faster.
  • Conduct research, analyze information, and generate actionable insights using AI.
  • Apply AI responsibly while following best practices for security, privacy, and accuracy.
Who Should Attend
This program is designed for professionals across all business functions, including:
  • Managers and Team Leaders
  • HR and Learning & Development Teams
  • Sales, Marketing, and Customer Service Professionals
  • Finance, Operations, and Administrative Teams
  • Any employee looking to improve productivity using AI tools
Key Takeaways
After completing this workshop, participants will be able to:
  • Save time on routine tasks using AI-powered productivity tools.
  • Create professional business content more efficiently.
  • Research, summarize, and analyze information with greater speed.
  • Improve communication, planning, and decision-making processes.
  • Integrate AI tools into everyday work activities with confidence.

Module 1: Foundations of Generative AI

  • Understanding AI, Generative AI & LLMs
  • Key Concepts: Tokens, Parameters, Models, Context Window
  •  AI Tools Landscape: Text, Image, Audio & Productivity AI ● Basics of Prompt Engineering
  • Prompting Techniques:

○ Instruction Prompts

○ Role-based Prompts

  • Prompt Design vs Prompt Engineering
  • Frameworks in Prompt Engineering:

○ GCA (Goal – Context – Audience)

○ RACE Model

○ TRACE Model

  • Saving Writing Styles, Personas & Reusable Prompts

Module 2: Claude — Productivity & Automation

  • Use Cases for Business Users ( write , edit and draft )
  • Analyze Files and documents
  • Organise Projects
  • Converting Content into Presentations from PDF’s

Module 3: Google Gemini — Research-Centric AI Assistant

  •  Interface of Gemini
  • Summarising Web Content, Docs & Media
  • Report Writing & Brainstorming
  • Integration with Gmail, Docs & Sheets
  • Working with Gems
  • Creating a Gem for automation of tasks eg. Negotiation, Customer Relations

Module 4: ChatGPT (OpenAI) — Multi-Functional AI for Work

  • Applications for Writing, Analysis & Planning
  • Persona-Based Prompting
  • Working with Projects, custom instructions in Projects
  • Image-to-Text: Tables, Documents & Charts
  • Using ChatGPT for Data Analysis, creating Reports, generating insights.

Module 5: NotebookLM — AI for Knowledge Management

  •  Overview & Access Requirements
  • Use Cases: Research, Course Notes, Case Studies
  • Generating Study Guides & Document Insights
  • Linking Files & Creating Responses Based on Sources
  • Best Practices for Integrating NotebookLM in Workflows

Module 6: Napkin — Visual Thinking & Idea Mapping

  • Introduction to Napkin AI
  • Mind Mapping with AI
  • Strategy Design, Flowcharts & Concept Planning
  • Collaboration & Export Features
  • Using Napkin for Project Kickoff & Business Planning

Module 7: Nanobanana— Creative AI for Design

  •  Image based prompting
  • Prompting for Image Generation
  • Branding Assets: Social Posts, Posters & Web Assets
  • Safe Content, Rights, and Ethical Use

Module 9: Gamma.app — Presentation & Deck Automation 

  • Prompt-To-Deck Workflow
  • Adding Images, Visuals & Brand Alignment
  • Improving Structure & Story Flow
  • Sharing, Collaboration & Export Options
  • Tailoring Decks for Clients, Management & Reports

Module 9: Practical Scenarios & Hands-On Tasks Tasks Include:

  • Summarise a 20-page research document
  • Convert handwritten data into a table
  • Create a LinkedIn Professional Bio
  • Build a slide deck using Gamma
  • Generate brand visuals using Adobe Firefly
  • Convert a business report into a client-ready presentation

Module 10: AI Ethics, Data Security & Responsible Use 

  • Privacy Considerations
  • Bias, Hallucinations & Verification Techniques
  • AI Limitations & Human Review Best Practices


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