Prompt Engineering Course: From Zero to Expert in 6 Hours

Most people learn prompting by accident. They copy a prompt from Reddit, tweak it until it works, and call it good. That’s fine for occasional use. It’s not fine when you’re building workflows, automating business processes, or getting paid to make AI do things.

This course teaches you to think about prompting as a systems discipline — not a bag of tricks. You’ll understand why prompts work, not just that they do. That understanding is what separates people who prompt well from people who prompt consistently.

Who This Course Is For

Developers building AI-powered features and automations
Business operators who use AI daily and want consistent results
Content creators and marketers using AI for production work
Anyone who wants to stop copying prompts and start writing them

Prerequisites: You should be able to use ChatGPT or Claude comfortably. No coding required.

What You’ll Be Able to Do After This Course

Write zero-shot and few-shot prompts that produce usable output on the first try
Use chain-of-thought techniques to dramatically improve accuracy on reasoning tasks
Build multi-step prompt workflows that automate complex processes
Write system prompts that give AI consistent personas and behavior
Control output format precisely — JSON, markdown, tables, code — without post-processing
Debug prompts that produce wrong answers instead of rewriting them from scratch
Build a personal prompt library that compounds your productivity over time

Course Curriculum

Module 1 — The Anatomy of a Perfect Prompt

Duration: 30 min · Free

Most prompts fail for one of four reasons: no role, missing context, undefined output format, or no constraints. This module teaches the four-component framework (Role + Context + Format + Constraints) and shows why each component matters with before/after examples.

You’ll learn:

Why “be more helpful” fails and “you are a senior product manager reviewing a PRD” succeeds
How to add context without writing a wall of text
The output format trick that cuts your editing time in half
Constraints: the most underused component in prompting

Module 2 — Zero-Shot vs. Few-Shot Prompting

Duration: 35 min · Free

Zero-shot asks the model to complete a task from instructions alone. Few-shot shows the model examples before asking it to produce output. Knowing when to use each — and how to combine them — is one of the highest-leverage prompting skills.

You’ll learn:

When zero-shot is sufficient (and when it fails)
How to write high-quality examples for few-shot prompting
The 1-shot vs 3-shot vs 5-shot trade-off
Pattern-matching vs. instruction-following: when the model does which

Module 3 — Chain-of-Thought Reasoning

Duration: 40 min · Pro

Chain-of-thought (CoT) prompting instructs the model to reason through problems step by step before giving a final answer. Google Brain research showed it dramatically improves accuracy on complex reasoning tasks. This module covers the full spectrum — from simple CoT to Tree-of-Thought for multi-path reasoning.

You’ll learn:

The simple phrase that activates chain-of-thought
Zero-shot CoT vs. few-shot CoT — when each applies
Tree-of-Thought: asking the model to explore multiple reasoning paths
How to use CoT without verbose outputs (the “think silently, then answer” approach)
Real examples: math, logic, business decisions, code debugging

Module 4 — System Prompts and Personas

Duration: 35 min · Pro

System prompts set the model’s behavior across an entire conversation. A well-written system prompt is the difference between a generic AI response and a specialist that sounds like it knows your business. This module covers persona design, behavior rules, and context injection.

You’ll learn:

How to write a system prompt that changes how a model thinks, not just what it says
The persona framework: role + expertise + communication style + constraints
Negative instructions (“never say X”) and why they’re tricky
Building system prompts for specific business functions: support, sales, writing, code review
The anti-patterns that make system prompts fail

Module 5 — Output Format Mastery

Duration: 32 min · Pro

If you’re post-processing AI output — cleaning it up, reformatting it, stripping headers — you’re doing something wrong in the prompt. This module teaches you to get exactly the format you need on the first pass: JSON, markdown tables, numbered lists, code blocks, XML, or custom schemas.

You’ll learn:

Specifying JSON output without hallucinated fields
Table prompting for structured comparisons
Code block prompting with language specification
Schema injection: showing the model a template to fill in
The prefilling technique that forces the model into a specific output structure

Module 6 — Multi-Step Prompt Workflows

Duration: 45 min · Pro

Single-turn prompting hits a ceiling on complex tasks. Multi-step workflows break complex processes into chained prompts where the output of one step becomes the input of the next. This is how you automate real business processes.

You’ll learn:

Workflow design: how to break a complex task into prompt-compatible steps
State passing: carrying context from one prompt to the next
Error handling in prompt chains: what to do when a step fails
Building a content pipeline (research → outline → draft → edit) as a case study
Introduction to prompt chaining with tools and APIs

Module 7 — Prompt Debugging and Iteration

Duration: 38 min · Pro

When a prompt produces wrong output, most people rewrite it from scratch. That’s slow and unscientific. This module gives you a systematic debugging framework: identify the failure mode, isolate the variable, fix the specific problem.

You’ll learn:

The 6 prompt failure modes and how to diagnose each
A/B testing prompt variants systematically
The “think out loud” technique for diagnosing reasoning errors
When to add constraints vs. when to add examples vs. when to add context
Reading model confidence signals to know when to trust the output

Module 8 — Templates for Real Work

Duration: 42 min · Pro

Theory becomes skill when applied to real work. This module walks through complete prompt templates for the highest-value professional use cases: code review, content production, competitor analysis, customer research, and meeting prep.

You’ll learn:

The complete code review prompt (with severity ratings and fix suggestions)
Content production templates from ideation to final draft
Research synthesis: turning a pile of sources into structured insights
The decision prompt framework that produces a clear recommendation, not a list of trade-offs
How to adapt any template to your specific context in under 5 minutes

Module 9 — Evaluating Prompt Quality

Duration: 25 min · Pro

How do you know if a prompt is good? Most people answer “if I like the output.” That’s fine for one-off tasks. For production prompts in workflows or automated systems, you need a repeatable evaluation method.

You’ll learn:

The 5-dimension quality rubric for prompts (accuracy, consistency, format compliance, completeness, efficiency)
How to write an eval set: input-output pairs for prompt testing
Red-teaming your prompts: adversarial inputs that expose weaknesses
Version control for prompts: when to update, when to branch
The revert trigger: signals that a prompt change made things worse

Module 10 — Building Your Prompt Library

Duration: 30 min · Pro

A prompt library that grows over time is one of the highest-leverage things you can build. It captures your best thinking, makes you consistent across projects, and compounds your productivity every month. This module covers how to build, organize, and maintain one.

You’ll learn:

The taxonomy that makes a prompt library actually useful (vs. a graveyard of saved prompts)
How to template a prompt so others on your team can use it
Linking prompts into workflows that cover entire business processes
When to retire a prompt vs. update it
The Lazy Smart Club Vault: how to use 1,200+ tested prompts as a starting point

Learning Outcomes

By the end of this course you can:

Write prompts that produce usable output on the first pass, consistently
Debug any prompt that’s failing — without guessing or rewriting from scratch
Build multi-step workflows that automate complex processes
Create system prompts for any business function
Maintain a personal prompt library that compounds over time

About This Course

This curriculum follows the framework used in Anthropic’s own prompt engineering tutorials, extended with Vanderbilt’s chain-of-thought and Tree-of-Thought research, and grounded in practical applications from the Lazy Smart Club community.

Modules 1–2 are free. Modules 3–10 require a Pro membership.

Certificate of completion issued at 100% module completion (Pro members only). Recognized by 400+ companies and one-click exportable to LinkedIn.

Ready to start? Modules 1 and 2 are free — no credit card needed. Join the club →

Or explore our Prompt Vault — 1,200+ tested templates across every category.