LiveGenAILLMsPrompting
Prompt Engineering
Write production-grade prompts and ship reliable LLM features.
4.9(1.2K ratings)9.6K learnersAdvancedEnglishUpdated Jun 2026
Created by Meera Krishnan · Applied AI Lead · ex-Anthropic
What you'll learn
Understand how LLMs read prompts: tokens, context, sampling
Write structured prompts that produce reliable, parseable output
Apply few-shot, chain-of-thought and prompt patterns deliberately
Reduce hallucination with retrieval-augmented prompting + evals
Defend against prompt injection and ship safe guardrails
Productionize prompts: versioning, A/B tests, cost & observability
Course content
3 sections · 13 lessons · 5h 4m
- How LLMs actually work20m
- Anatomy of a good prompt22m
Requirements
- Comfortable calling an API and reading JSON
- Basic Python (we keep code light)
- Access to any LLM (ChatGPT/Claude/Gemini) to practise
Description
Prompting is real engineering, not magic words. Start with how LLMs actually work — tokens, context, sampling — then master few-shot learning, chain-of-thought, structured output and prompt patterns. Finish at GOD tier with automatic prompt optimization, injection defense, cost control, and productionizing prompts with versioning, A/B tests and observability. For people who want LLM features that work reliably, not just in the demo.
Your instructor
MK
Meera Krishnan
Applied AI Lead · ex-Anthropic
Ships LLM products used by millions. Teaches prompting as the engineering discipline it actually is.