Applied Generative AI for Workplace Productivity and Functional Excellence equips professionals with the knowledge and practical skills to apply Generative AI for workflow automation, content creation, decision support, and productivity improvement across business functions.
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
