Interactive Prompt Engineering
Anthropic's official interactive tutorial on system prompts, XML structuring, few-shot examples, and chain-of-thought.
What you'll learn
- Master XML tag structuring for high-precision model steering
- Implement multi-shot and chain-of-thought prompting patterns
- Debug common failure modes in long-context prompts
- Evaluate prompt robustness against edge case inputs
About this course
Anthropic's comprehensive interactive course taught directly in Google Colab. Covers prompt architecture, avoiding hallucinations, structuring responses with XML tags, complex multi-step reasoning, and chaining prompts for enterprise workloads. Completely free and maintained directly by Anthropic Developer Relations.
Prerequisites
Basic Python literacy and familiarity with LLM APIs