Course Code:
bspaiess
Duration:
2 hours
Prerequisites:
None
Course Outline:
Module 1: AI Fundamentals
- What is AI? Core definitions (Artificial Intelligence, Human Intelligence, Machine Learning).
- Types of AI: Understanding Narrow (Weak) AI vs. Artificial General Intelligence (Strong AI).
- AI in Your Workplace: Brief introduction to tools like Microsoft Copilot (relevant to their Microsoft ecosystem) and the purpose of Lansweeper's "Sweet PTS".
Module 2: Responsible & Ethical AI Use
- Ethical Landscape: Key ethical concerns in AI, including bias, fairness, discrimination, and privacy.
- Guiding Principles: Importance of principles for ethical AI development (e.g., Beneficence, Non-Maleficence, Autonomy, Justice, Explicability).
- AI Regulations Overview: A brief look at key regulations like the EU AI Act and data protection laws (e.g., GDPR).
- Strategies for Ethical AI: Introduction to mitigating bias and ensuring transparency.
Module 3: Practical AI Applications
- AI in Action: Common examples of AI in everyday life and business settings.
- Introduction to Prompting: Understanding how to ask AI (like "Sweet PTS") for information effectively.