Prompt Engineering
Master the craft of working with large language models: clear instructions, few-shot patterns, structured outputs, guardrails, and evaluation loops. You will build reusable prompt libraries and small automations each week—with mentor feedback until your capstone demonstrates production-grade prompt design, not random trial and error.
Write system and user prompts that behave consistently across models
Use few-shot examples, JSON schema outputs, and chain-of-thought responsibly
Build evaluation sets and score outputs before shipping to users
Package a capstone prompt playbook for a real use case
Overview
What you'll learn
- Write system and user prompts that behave consistently across models
- Use few-shot examples, JSON schema outputs, and chain-of-thought responsibly
- Build evaluation sets and score outputs before shipping to users
- Package a capstone prompt playbook for a real use case
Curriculum outline
Weekly milestones
Week 1
View topicsLLM basicsTokens & contextInstruction design
Week 1
View topicsWeek 2
View topicsFew-shot patternsRole promptsOutput formatting
Week 2
View topicsWeek 3
View topicsStructured outputsJSON modeValidation loops
Week 3
View topicsWeek 4
View topicsRAG overviewGrounding promptsCitation habits
Week 4
View topicsWeek 5
View topicsEval harnessesRegression testsCost & latency
Week 5
View topicsWeek 6
View topicsCapstone playbookMentor reviewPortfolio demo
Week 6
View topicsWho this is for
A best-fit for Beginner Friendly
This track is built for learners who want design reliable prompts, evaluate outputs, and ship ai workflows mentors can review.. You'll learn with structured milestones and mentor feedback so you always know how to progress.
Mentor support
You'll receive regular touchpoints with mentors for review, guidance, and decision-making coaching. The goal is not just completion—it's building proof.