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Course Outline
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 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, and sales predictions.
- Marketing: Content generation, campaign analytics, and trend analysis.
- Finance: Invoice automation, fraud detection, and forecasting.
- HR: Recruitment screening and employee engagement insights.
- Administration and Operations: Document management and 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, summarising, and translation.
Hands-On Practice: AI in Action
- Writing and improving texts with AI.
- Creating reports and analysing 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?”
Requirements
- No prior knowledge of AI or programming is required.
Target Audience
- Employees from administrative, sales, finance, marketing, HR, and other departments.
- Managers and team leads interested in adopting AI.
- Support and back-office staff.
7 Hours
Testimonials (2)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
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Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.