Understand the difference between traditional artificial intelligence and generative AI, and identify the appropriate use cases for each, with practical examples from everyday life and professional work.

Learn about large language models (LLMs), their limitations, how they generally work, what improves output quality or causes errors and hallucinations, and how to evaluate results before relying on them.

Set up ChatGPT’s core settings and manage memory within your account effectively, knowing when to retain or clear it, to ensure better privacy and more accurate outputs, while understanding its impact on your experience.

Craft effective prompts using Prompt Engineering strategies (Zero-shot, Few-shot, Chain-of-Thought), and apply practical methods to reduce errors and hallucinations while selecting the most suitable model for each task.

Explore alternative models such as Claude, Gemini, and DeepSeek, and leverage Custom GPTs and tools like Perplexity and Gamma to build a personalized implementation plan for your work and daily life.