Duration 3 Days – 21 hrs.

 

Overview

Artificial Intelligence (AI) is rapidly transforming the modern workplace by enabling employees to work smarter, automate repetitive tasks, enhance decision-making, and improve overall productivity. As organizations continue to adopt AI-powered tools, there is a growing need to establish a common understanding of AI capabilities, limitations, and best practices across different business functions.

This practical and business-focused training course is designed to help employees confidently and responsibly use Generative AI technologies to improve workplace productivity and operational efficiency. Participants will gain hands-on experience with popular AI tools such as ChatGPT, Microsoft Copilot, Canva AI, Perplexity, Gamma, and similar platforms, while learning how to select the most appropriate tool for specific business needs.

The course places strong emphasis on real-world workplace applications across Finance, Marketing, Sales, Human Resources, and Supply Chain functions. Participants will learn effective prompt engineering techniques, evaluate AI-generated outputs, understand responsible AI practices, and identify opportunities to integrate AI into existing workflows.

By the end of the program, participants will have developed practical AI skills, increased confidence in using AI tools, and established a foundation for responsible and productive AI adoption within their daily work activities.

 

Objectives 

        Fundamentals and Workplace Adoption

• Understand the fundamentals of Artificial Intelligence and Generative AI.
• Recognize how AI can support productivity, collaboration, decision-making, and innovation.
• Identify opportunities to apply AI within day-to-day work activities.

        AI Tool Selection and Utilization

• Understand the capabilities, strengths, limitations, and best use cases of commonly used AI platforms.
• Select the appropriate AI tool based on business requirements and desired outcomes.
• Utilize AI tools to streamline routine and knowledge-based tasks.

        Prompt Engineering and AI Interaction

• Create effective prompts that generate accurate, relevant, and useful outputs.
• Apply prompt engineering techniques to improve AI-generated results.
• Refine and optimize prompts through iterative interactions.

        Function-Specific Business Applications

• Apply AI to common tasks and workflows in Finance, Marketing, Sales, Human Resources, and Supply Chain operations.
• Use AI to enhance reporting, analysis, content creation, communication, planning, and decision-making activities.
• Develop practical AI-assisted workflows relevant to their roles.

        Responsible and Secure AI Usage

• Understand risks associated with AI-generated content and recommendations.
• Apply responsible AI practices including validation, verification, and human oversight.
• Protect confidential, sensitive, and proprietary business information when using AI tools.
• Promote ethical and compliant AI usage within the organization.

        Workplace Productivity Enhancement

• Integrate AI into existing workflows to improve efficiency and effectiveness.
• Reduce time spent on repetitive and administrative tasks.
• Increase productivity through AI-assisted automation, content generation, research, and analysis.

        Target Audience 

• Finance Professionals
• Marketing Teams
• Sales Teams
• Human Resources Professionals
• Supply Chain and Operations Personnel
• Supervisors and Team Leaders
• Managers and Department Heads
• Business Support Functions
• Administrative Professionals
• Office-Based Employees Interested in AI Adoption

Prerequisites

•  Basic computer literacy
• Experience using common workplace applications such as Microsoft Office or Google Workspace
• Familiarity with business communication and reporting processes
• No prior AI experience required

Course Outline

 Day 1 – Understanding AI and Building Workplace Productivity

 Module 1: Introduction to Artificial Intelligence in the Workplace 

• What is Artificial Intelligence?
• Understanding Generative AI
• AI Trends and Business Transformation
• AI Opportunities Across Business Functions
• Benefits and Limitations of AI
• Human Intelligence vs AI Capabilities

 Module 2: The AI Productivity Mindset 

• AI as a Productivity Partner
• Identifying Time-Consuming Work Activities
• Understanding High-Value vs Low-Value Tasks
• Where AI Creates Immediate Business Value
• AI-Assisted Decision Making

 Module 3: AI Tool Landscape and Selection Guide

         Overview and demonstration of:

        Conversational AI

• ChatGPT
• Microsoft Copilot
• Claude
• Google Gemini

        Research and Knowledge Discovery

• Perplexity
• AI-Powered Search Tools

        Presentation and Content Development

• Gamma
• PowerPoint Copilot

        Design and Creative Content

• Canva AI
• AI Image Generation Tools

        Productivity and Automation Tools

• Microsoft Copilot for Microsoft 365
• AI-Powered Workflow Tools

 Module 4: Selecting the Right AI Tool for the Right Job 

• AI Tool Selection Framework
• Matching Business Requirements to AI Platforms
• Choosing Tools for:
  • Research
  • Writing
  • Data Analysis
  • Presentations
  • Design
  • Communication
  • Knowledge Management

 Module 5: Hands-On AI Productivity Workshop 

Practical Exercises:

• Email Drafting
• Meeting Summaries
• Report Generation
• Research Acceleration
• Document Creation
• Executive Brief Preparation

 

Day 2 – Prompt Engineering and Responsible AI Usage

 Module 6: Foundations of Effective Prompt Engineering 

• Understanding Prompts and Context
• Anatomy of an Effective Prompt
• Prompt Design Principles
• Structured Prompt Frameworks

Module 7: Advanced Prompt Engineering Techniques 

• Role-Based Prompting
• Context-Based Prompting
• Chain-of-Thought Prompting
• Multi-Step Prompting
• Persona Prompting
• Iterative Prompt Refinement

 Module 8: Evaluating and Improving AI Outputs 

• Assessing Accuracy and Relevance
• Identifying AI Hallucinations
• Fact Checking and Verification Techniques
• Improving Weak AI Responses
• Human Review and Oversight

 Module 9: Responsible AI, Data Privacy, and Security 

• Responsible AI Principles
• Data Privacy Considerations
• Protecting Confidential Information
• Intellectual Property Considerations
• AI Governance and Compliance
• Ethical Use of AI in Business

 Module 10: AI Productivity Workflow Design 

• Mapping Current Work Processes
• Identifying AI Integration Opportunities
• Creating AI-Enhanced Workflows
• Building Personal Productivity Systems

 

Day 3 – Function-Specific Business Use Cases and Practical Applications 

Module 11: AI for Finance Professionals 

        Practical Use Cases

• Financial Reporting Assistance
• Variance Analysis Support
• Budget Planning Support
• Financial Data Summarization
• Executive Financial Briefings
• Spreadsheet Productivity Enhancement

        Hands-On Workshop

• AI-Assisted Financial Analysis
• Report Generation Exercises

Module 12: AI for Marketing Professionals

         Practical Use Cases

• Content Creation
• Campaign Planning
• Social Media Development
• Market Research
• Consumer Insight Analysis
• Brand Messaging Development

        Hands-On Workshop

• AI Marketing Campaign Development
• Content Generation Exercises

Module 13: AI for Sales Professionals 

        Practical Use Cases

• Sales Proposal Creation
• Customer Profiling
• Sales Communication Enhancement
• Meeting Preparation
• Opportunity Analysis
• Sales Reporting

        Hands-On Workshop

• AI-Assisted Sales Planning
• Proposal and Presentation Development

Module 14: AI for Human Resources Professionals

         Practical Use Cases

• Recruitment Support
• Job Description Creation
• Interview Question Development
• Employee Communications
• Learning and Development Planning
• HR Policy Summarization

        Hands-On Workshop

• AI-Assisted Recruitment and Talent Development

Module 15: AI for Supply Chain and Operations

         Practical Use Cases

• Demand Planning Support
• Inventory Analysis
• Supplier Communication
• Logistics Reporting
• Process Documentation
• Operational Improvement Analysis

        Hands-On Workshop

• AI-Assisted Supply Chain Planning

Module 16: Building an AI Adoption Roadmap

         Group Workshop

• Identifying Departmental AI Opportunities
• Developing AI Use Cases
• Creating Prompt Libraries
• Establishing Responsible AI Practices
• Building an AI Productivity Action Plan

Course Wrap-Up

• Key Takeaways
• Best Practices for Sustainable AI Adoption
• Next Steps for Continuous Learning
• Open Forum and Discussion