Module 8: Prompt Engineering

Category: Intermediate — Module 8 (1 of 7 in this category)

(Placeholder module — a short overview for now; full lesson content is coming soon.)

Getting much better results out of a model without training it at all — just by designing the prompt itself well.

Topics this module will cover: - Chain-of-Thought (CoT) - In-Context Learning (few-shot examples) - Other core prompting techniques

Tutorial Progress

graph LR
    A[8: Prompt Engineering] --> B[9: Context Engineering]
    B --> C[10: Coding Agents]
    C --> D[11: Harness Engineering]
    D --> E[12: Security]
    E --> F[13: Loop Engineering]
    F --> G[14: Personal Agents]
    style A fill:#FFFF00

Previous Module: Fundamentals — Module 7: Multi-Agent Architectures Next Module: Module 9: Context Engineering