IntermediateBoth

Prompt Engineering for Product Teams

Prompt engineering is a core skill for anyone building AI products. This path covers the fundamentals, advanced techniques, evaluation methods, and practical application — with hands-on exercises using real tools.

3 modules13 steps~3 hours
0% complete0/13 steps
Path Progress: 0% (0/13 steps)
Module 1: Prompt Engineering Fundamentals0/6
Module 2: Prompts in Production0/5
Module 3: Evaluating and Iterating on Prompts0/5

After completing this path, you will be able to:

  • Write effective prompts for production AI features
  • Apply chain-of-thought, few-shot, and system prompt techniques
  • Evaluate and iterate on prompt quality systematically
  • Design prompt architectures for complex AI features

Learning Objectives

  • Understand the core prompt engineering techniques and when to use each
  • Apply chain-of-thought reasoning to improve AI output quality
  • Know how human feedback shapes model behavior
📖
Prompt Engineering for PMs
12m
📖
Prompt Engineering Concepts
5m
📖
Chain of Thought
5m
📖
RLHF: How Models Learn from Humans
5m
✏️
15m
🏁
5m

Learning Objectives

  • Design system prompts for production AI features
  • Specify agent behaviors through prompt architecture
  • Handle edge cases and failure modes in prompts
📖
Specifying AI Agent Behaviors
12m
📖
Multi-Agent Systems
5m
📖
Human-in-the-Loop
5m
✏️
20m
🏁
5m

Learning Objectives

  • Build eval suites for prompts
  • Measure prompt quality across accuracy, safety, and cost dimensions
  • Iterate on prompts using data rather than intuition
📖
How to Run LLM Evals
12m
🧮
AI Eval Scorecard
10m
📖
AI Evaluation (Evals)
5m
✏️
15m
🏁
5m