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Course 1: AI & LLM Core Concepts and Prompt Engineering
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What you will learn
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(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
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(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
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(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
