KNMarkov

Prompt Engineering

Master the language
machines understand.

A 2-4 week intensive program on designing, testing, and managing prompts for production AI systems. From basic prompting to advanced evaluation frameworks.

Why This Matters

Prompts are the new code

The difference between a demo and a production AI system often comes down to prompt engineering. A well-designed prompt can replace thousands of lines of traditional code. A poorly designed one creates unreliable, expensive, and dangerous systems.

This program teaches prompt engineering as a rigorous discipline — not a collection of tricks. You’ll learn to design, test, version, and optimize prompts the same way you’d approach any other production software component.

Production Prompt Systems

Curriculum

Four weeks, zero fluff

Foundations & Principles

Curriculum

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How LLMs process and generate text
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Prompt structure and anatomy
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Zero-shot, few-shot, and chain-of-thought
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Context window management

Tools

OpenAI Playground
Claude Console
Token counters

Project

Build a basic classification system using zero-shot and few-shot prompting techniques.

Hands-On Projects

What you’ll build

Classification system

Classification system

Build a multi-label classifier using only prompts. Handle edge cases, ambiguity, and confidence scoring.

Content generation pipeline

Content generation pipeline

Design a production content pipeline with quality checks, style consistency, and automated review.

Evaluation framework

Evaluation framework

Create an automated system that measures prompt quality across accuracy, consistency, and cost metrics.

Capstone: Production prompt system

Capstone: Production prompt system

End-to-end prompt management system with versioning, testing, deployment, and monitoring.

2-4 weeks
Duration
15 max
Cohort size
Remote / On-site
Format
Certificate
Completion

Learn prompt engineering.

Enroll your team in our next cohort or schedule a custom program.