AI Model Basics

Join technologist Vinoo Ganesh to explore the basics of today’s leading AI models, including ChatGPT, Claude, and Gemini, and apply them in real-world scenarios. Examine how large language models (LLMs) function, how prompting shapes outputs, and why behaviors like hallucinations occur. Discover how personalization influences results and learn practical techniques to evaluate, verify, and refine AI-generated content.

Build an understanding of AI capabilities, limitations, and ethical considerations, along with the critical thinking skills to use these tools responsibly. Whether you’re a manager, marketer, analyst, or just a curious learner, this course helps you integrate AI effectively into your professional tool kit.

Learning objectives
Explain how large language models (LLMs) generate outputs using tokens, training data, and probability.
Compare how personalization, memory, and platform context influence AI behavior and results.
Apply prompting strategies to improve the usefulness of AI outputs.
Describe why hallucinations occur and when AI should be used as a thought partner instead of a source of truth.
Evaluate AI outputs by verifying accuracy, sources, and reliability before use.