Understand AI and LLMs as a Non-Engineer -A Practical Foundations Course

Getting overwhelmed by technical jargon or math when researching how LLMs work.

Strictly use resources aimed at business leaders or the general public. If an article starts showing formulas, close it and find an analogy-based explanation.

Accidentally pasting sensitive company operational data into a public LLM while practicing prompts.

Create a strict personal rule: only use dummy data, historical public data, or anonymized scenarios when practicing on non-enterprise LLM accounts.

Falling into the 'AI can solve everything' trap and trying to automate processes that require human judgment.

Focus on AI as an 'intern' or 'copilot' for decision support, rather than a replacement for human strategic planning.