Course 1: AI & LLM Core Concepts and Prompt Engineering

------------------------------------------------------- What you will learn ------------------- (a) Explain how LLMs work, from transformers to the inference pipeline (b) Classify AI systems by capability and by the five levels of autonomy (c) Choose a model by architecture, tier, capability, and pinned version (d) Control output with temperature, top-P, penalties, and reasoning effort (e) Write prompts that produce reliable, structured results Why take it ----------- (a) Builds the foundation every later course assumes (b) Explains why identical prompts still give different answers, and what to do about it What makes it unique -------------------- (a) Provider-agnostic labs: call Anthropic, OpenAI, and Google models side by side on the same task (b) No prior AI experience required; reading Python is enough