Back to Module 1: LLM FoundationComplete
AI Syllabus Module
Module 1.4: Prompt Engineering
Master prompt design topologies: system parameters, classifications, injection protections, and few-shots.
Lessons & Submodules
What is Prompt Engineering?
Learn how prompts act as code to configure large language model behaviors.
Instruction Design
Deconstruct system instructions, delimiters, and target response structures.
Few-shot and Zero-shot Prompting
Learn when to provide examples in prompts to guide model logic.
Classification Prompts
Build templates to sort unstructured inputs into categorical buckets.
Prompt Injection Basics
Learn how users bypass system prompts and how to write basic defenses.
Explainable AI Responses
Generate structured thought chains prior to final answers to improve accuracy.
Prompt Engineering Interview Guide
Prepare for senior panels asking about prompt architectures and scaling.
Key Skills
- •Differentiate between System, User, and Assistant prompt scopes
- •Construct few-shot prompt mappings with schema references
Interview Value
- Describe three strategies to mitigate prompt injection attacks in user-facing LLM inputs.