ELEMENTS OF AI – Talk Time: LLMs for Dummies: A Foundation Guide for beginners

AI has reached our daily lives in hundreds of applications, yet most people use it without truly understanding what they are working with. This course offers a practical and accessible introduction to generative AI, and in particular to Large Language Models such as ChatGPT, Gemini, and Claude.

We start with the fundamentals: what these models are trained on,

what they are genuinely capable of, and where they consistently fall short.

From there, we move into hands-on territory. You will learn how to

write effective prompts, get significantly better results, and avoid the traps that catch most beginners. But this course goes further than a how-to guide. A central theme throughout is critical awareness. LLMs can hallucinate, producing confident and fluent answers that are factually wrong. They have context limitations, raise serious data protection concerns, and can quietly encourage us to outsource our own thinking. Recognizing these risks is not optional — it is what separates an informed user from a dependent one.

This course is designed for anyone who wants to understand AI

honestly, without the hype and without requiring a technical

background. Whether you work in finance, healthcare, education and other business, or you simply want to navigate a rapidly changing world with more confidence, you will leave with something more valuable than a list of tips: a clear, grounded perspective on what AI is, what it is not, and why that distinction matters now more than ever.

This module will cover the following points:

• Historical background on AI
• Fundamental operation of LLMs
• Prompting tips and tricks
• LLMs common mistakes
• Real-world applications
• Hallucination and AI risks
• Data privacy and ethical considerations
• Cognitive independence and human judgment

• Hands-on prompting practice

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

• Explain how AI has evolved and what LLMs are
• How Large Language Models work
• Identify common risks and gain critical approach
• Real-world case studies
• Live AI demonstrations
• Group discussion and reflection
• Personal AI usage audit

• Knowledge checks and quizzes

This course will alternate between theory, hands-on practice, and

interactive exercises.