Introduction to Artificial Intelligence (AI)
AI is everywhere… but do you truly understand what it can (and cannot) do for your organization?
This module provides a clear and structured understanding of the core principles of AI and generative AI in a professional context.
It can be followed:
- ✅ Independently, to help your teams build a shared foundation and common language around AI;
- 🤝 Alongside a CreativMinds support program, to align your organization before deploying solutions such as Microsoft Copilot or other AI-powered tools.
Learning Objectives
By the end of this training, participants will be able to:
- Identify common misconceptions about artificial intelligence
- Explain, in their own words, what AI is and what it is not
- Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning (introductory level)
- Provide concrete examples of AI use cases in a professional context
- Explain why human oversight remains essential
- Adopt a critical mindset toward AI-generated results
Program
- Definition of artificial intelligence and clarification of common misconceptions
- AI as an assistant tool rather than a replacement for humans
- Current AI capabilities: data analysis, content generation, automation
- Introduction to Microsoft Copilot as an example of generative AI integrated into professional tools
- Importance of human review and verification of generated outputs
- Accessibility of AI in the workplace, even without technical expertise
- Distinction between Artificial Intelligence, Machine Learning, and Deep Learning
- Real-world business applications of AI across different industries
- Differences between public AI tools and enterprise-integrated solutions
