Introduction to Artificial Intelligence (AI) for Workplace Productivity

• No prior AI or programming knowledge required

Audience

• Employees from administrative, sales, finance, marketing, HR, and other departments
• Managers and team leads interested in AI adoption
• Support and back-office staff

Artificial Intelligence (AI) is a rapidly evolving field that provides tools and systems capable of automating tasks, analyzing data, and enhancing decision-making across all business functions.

This instructor-led, live training (online or onsite) is aimed at non-technical professionals who wish to understand what AI is, how it works, and how it can improve productivity across departments in a company.

By the end of this training, participants will be able to:

• Understand the basic concepts and capabilities of AI.
• Recognize how AI is transforming various business areas.
• Identify AI tools that can be used to enhance daily workflows.
• Integrate simple AI-powered processes to improve decision-making and efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on demonstrations using AI tools.
• Scenario-based exercises and use case exploration.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Understanding Artificial Intelligence (AI)

• What is AI? History and evolution
• How AI works: Data, algorithms, and learning models
• Types of AI (narrow vs general, generative AI, machine learning)

AI in Everyday Life and Business

• Examples of AI we already use daily
• Business sectors transformed by AI
• Myths and facts about AI in the workplace

AI Applications in Different Departments

• Sales and Customer Service: Lead qualification, chatbots, sales predictions
• Marketing: Content generation, campaign analytics, trend analysis
• Finance: Invoice automation, fraud detection, forecasting
• HR: Recruitment screening, employee engagement insights
• Administration and Operations: Document management, task automation

Getting Started with AI Tools

• Overview of ChatGPT, Copilot, Gemini, Claude, and others
• Using AI to write emails, reports, and presentations
• AI tools for scheduling, summarizing, and translation

Hands-On Practice: AI in Action

• Writing and improving texts with AI
• Creating reports and analyzing basic data
• Automating routine administrative tasks

Challenges and Ethical Considerations

• Limitations of AI: Bias, hallucination, and dependency
• Data privacy, confidentiality, and compliance concerns
• How to use AI responsibly at work

Next Steps: Building an AI-Friendly Culture

• Developing a mindset for AI integration
• Encouraging experimentation and digital curiosity
• Resources for continued AI learning

Summary and Action Plan

• Review of key concepts and takeaways
• Identifying AI opportunities in your department
• Personal action plan: “What can I automate or improve with AI?”