Skill Paths Library

Transform from AI novice to informed practitioner by building a solid conceptual foundation. You'll learn to speak AI's language fluently (understanding terms like tokens, context windows, embeddings, and multimodal models), comprehend the 'why' behind AI behavior (how training creates pattern recognition and why models think probabilistically rather than logically), and develop critical evaluation skills to distinguish between AI's genuine strengths and its limitations.

This path is perfect for non-technical professionals that want to spend up to 2 hours total learning what GenAI is, how LLMs work and get their hands dirty testing their current ability to use AI and prompt engineering to solve real tasks like summarizing emails and automate business reports