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BeginnerAILevels A1 → C222 languages

AI Prompt Engineering

Master the art of communicating effectively with AI models to achieve precise and powerful results with this comprehensive Prompt Engineering course. A CoddyKit learning path of 53 short courses and 199 interactive lessons, with a 24/7 AI tutor at your side.

Courses
53
Lessons
199
Interactive steps
2,511
Free to start
Course 1
Curriculum

53 courses in this path

Every course in the AI Prompt Engineering path, in learning order. The first one is free.

1

A13 lessonsFree

Discover what artificial intelligence is, why prompt engineering matters, and what you will build in this track — no experience needed.

2

A14 lessonsPRO

Learn how to start talking to AI effectively — what to ask, how AI responds, and what it can and cannot do.

3

A13 lessonsPRO

Dive into the core concepts of prompt engineering, understanding what it is, why it's crucial, and the basic principles for crafting effective prompts. Learn to structure your queries for optimal AI…

4

A14 lessonsPRO

Turn vague requests into precise prompts that reliably produce the output you need.

5

A24 lessonsPRO

Provide AI with the right background so it understands exactly what you need and why.

6

A24 lessonsPRO

Control the structure and presentation of AI responses by specifying format requirements in your prompts.

7

A24 lessonsPRO

Specify exactly how you want AI to communicate — from formal boardroom language to casual social copy.

8

A24 lessonsPRO

Learn to read AI outputs critically and systematically improve your prompts through follow-up and iteration.

9

A24 lessonsPRO

Set boundaries on AI output with word limits, topic restrictions, and content guardrails.

10

A24 lessonsPRO

Identify and fix the most frequent prompting anti-patterns that produce poor or unreliable AI output.

11

A24 lessonsPRO

Master the distinct prompting patterns needed for emails, social media, technical docs, and creative writing.

12

B14 lessonsPRO

Build reusable prompt templates with variable placeholders to scale your AI workflows efficiently.

13

B14 lessonsPRO

Design modular, maintainable prompts using XML tags, delimiters, and section headers for complex tasks.

14

B14 lessonsPRO

Master the system role to inject persistent behavior, personas, and rules that guide every model response.

15

B14 lessonsPRO

Use LLMs to extract structured data and classify text at scale with reliable, schema-driven prompts.

16

B14 lessonsPRO

Control AI creativity and determinism by understanding temperature, top-p, and other sampling hyperparameters.

17

B13 lessonsPRO

Apply prompt engineering principles to a range of specific AI applications, from summarization and data extraction to translation and creative content generation. Tailor your prompts for distinct obj…

18

B13 lessonsPRO

Learn how to interact more effectively with Large Language Models (LLMs) by understanding their inherent capabilities and limitations. Master techniques to guide LLMs towards desired behaviors and ou…

19

B13 lessonsPRO

Address critical challenges in LLM deployment by learning strategies to identify and reduce bias, prevent hallucinations, and navigate the ethical landscape of prompt engineering for responsible AI u…

20

B24 lessonsPRO

Connect multiple prompts in sequence where each output becomes the next input for multi-step AI workflows.

21

B24 lessonsPRO

Write effective prompts for multimodal AI that can analyze, describe, and reason about images.

22

B24 lessonsPRO

Process documents longer than a context window with chunking, map-reduce, and hierarchical summarization patterns.

23

B24 lessonsPRO

Systematically diagnose and fix prompts that produce wrong, inconsistent, or low-quality outputs.

24

B24 lessonsPRO

Understand how attackers hijack AI systems through prompt injection and build defenses to protect your applications.

25

B24 lessonsPRO

Build systematic test suites for your prompts to catch regressions when models or requirements change.

26

B23 lessonsPRO

Elevate your prompting skills by exploring sophisticated design patterns that enable LLMs to perform complex reasoning tasks. Understand techniques for breaking down problems and improving output qua…

27

B23 lessonsPRO

Unlock the potential of LLMs to assist in software development by learning how to prompt for code generation, debugging, and refactoring. Integrate AI assistance into your coding workflow.

28

B23 lessonsPRO

Optimize your prompt engineering workflows for performance, cost, and resource efficiency. Explore techniques like prompt compression and understand the trade-offs between prompting and fine-tuning.

29

B24 lessonsPRO

Write prompts specifically tuned for extended-thinking reasoning models like o1, o3, and Claude with extended thinking.

30

B24 lessonsPRO

Design prompts for text-to-speech, voice agents, and audio generation systems for natural, expressive output.

31

B24 lessonsPRO

Use language models to evaluate other model outputs with rubrics, comparative scoring, and calibrated judgment.

32

B24 lessonsPRO

Apply specialized prompting patterns for legal, medical, and financial domains that require precision and compliance.

33

B24 lessonsPRO

Master the art of writing prompts for DALL-E, Stable Diffusion, and other image generation models.

34

C13 lessonsPRO

Supercharge LLMs by enabling them to use external tools and interact as multi-agent systems. Learn to integrate function calling, APIs, and custom plugins for dynamic and powerful AI applications.

35

C14 lessonsPRO

Use DSPy to automatically compile and optimize prompts by defining signatures and evaluation metrics.

36

C14 lessonsPRO

Apply Constitutional AI principles to make AI systems more helpful, harmless, and honest through structured critique.

37

C14 lessonsPRO

Design and build production-grade infrastructure for versioning, testing, deploying, and monitoring prompts.

38

C14 lessonsPRO

Build prompts that generate better prompts and systems that improve their own instructions through feedback loops.

39

C14 lessonsPRO

Handle high-volume, low-latency prompt execution with caching, batching, async patterns, and multi-model routing.

40

C13 lessonsPRO

Discover how to augment LLM capabilities by integrating external data sources into your prompting strategy. Master Retrieval Augmented Generation (RAG) to provide LLMs with up-to-date and domain-spec…

41

C13 lessonsPRO

Scale your prompt engineering efforts to enterprise-level applications. Learn about managing prompt workflows, versioning, and ensuring security and data privacy in production environments.

42

C13 lessonsPRO

Develop a systematic approach to assess the quality and effectiveness of your prompts. Learn methods for quantitative and qualitative evaluation, and how to iteratively refine prompts for optimal res…

43

C14 lessonsPRO

Few-Shot and In-Context Learning Mastery: Zero, One, and Few-Shot, Designing Effective Examples, and more.

44

C14 lessonsPRO

Chain-of-Thought and Tree-of-Thought: Chain-of-Thought Prompting, Self-Consistency Sampling, and more.

45

C14 lessonsPRO

Advanced RAG: Re-ranking and Compression: Beyond Naive RAG, Re-ranking Retrieved Chunks, and more.

46

C14 lessonsPRO

Structured Generation with JSON Schema: Why Structured Output, JSON Schema in Prompts, and more.

47

C14 lessonsPRO

Guardrails and Output Validation: What Are Guardrails, Input and Output Filtering, and more.

48

C23 lessonsPRO

Stay ahead of the curve by exploring emerging trends, research, and advanced concepts in prompt engineering. Delve into adversarial prompting, multimodal AI, and the evolving landscape of human-AI co…

49

C24 lessonsPRO

Red-Teaming and Adversarial Evaluation: LLM Red-Teaming Basics, Jailbreak Techniques, and more.

50

C24 lessonsPRO

Multimodal Prompt Fusion: Combining Text and Images, Grounding Across Modalities, and more.

51

C24 lessonsPRO

Long-Context Prompting Strategies: Million-Token Context Windows, Lost in the Middle, and more.

52

C24 lessonsPRO

Multi-Agent Prompt Orchestration: Roles and Specialization, Orchestrator and Workers, and more.

53

C24 lessonsPRO

Prompting vs Fine-Tuning: Hybrid Playbook: When Prompting Is Enough, When to Fine-Tune, and more.

CoddyKit PRO

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Course Overview

AI Prompt Engineering: Precise Communication with Language Models

Prompt engineering is the discipline of writing instructions that reliably produce the output you need from a large language model. It is not guesswork — it is a structured skill covering context framing, output formatting, temperature control, bias mitigation, and security against prompt injection. This track covers all of it, from your first conversation with an AI to orchestrating multi-agent pipelines and hybrid prompting-plus-fine-tuning strategies.

What You Will Learn

You will start with prompt fundamentals — crafting clear instructions, setting context, and controlling tone and voice — then advance through system prompt design, extraction and classification prompts, and prompt templates with variables. Mid-track courses cover prompt chaining and pipelines, debugging prompt failures, prompt injection and defense, and LLM-as-Judge evaluation patterns. Advanced modules address chain-of-thought and tree-of-thought reasoning, retrieval augmented generation (RAG), structured generation with JSON Schema, guardrails and output validation, automated prompt optimization with DSPy, and constitutional AI prompting. The final courses tackle red-teaming, adversarial evaluation, multi-agent prompt orchestration, and the prompting-versus-fine-tuning hybrid playbook.

The Learning Path

Fifty-three focused courses span A1 through C2. The A1 and A2 courses establish the basics: your first AI conversation, iterative refinement, common mistakes, and formatting outputs. B1 and B2 courses build structured technique — system prompts, temperature and sampling parameters, vision and audio prompting, reasoning models, and prompt optimization. The C1 tier covers tool use and agents, RAG, meta-prompting, enterprise solutions, and in-context learning mastery. The track closes at C2 with long-context strategies, multimodal prompt fusion, and future research directions.

How It Works

Each course is built from short, focused lessons with interactive exercises and real-time feedback. An AI tutor is available whenever you get stuck, so you can work through nuanced concepts — like re-ranking strategies in Advanced RAG or self-improvement loops in meta-prompting — without leaving the app.

How You'll Learn

  1. 01

    Interactive Lessons

    Hands-on coding exercises with real-time feedback

  2. 02

    AI Tutor

    Get instant help from our AI when you're stuck

  3. 03

    Built-in Editor

    Write and run code directly in your browser

  4. 04

    Certificate

    Earn a certificate when you complete the course

FAQ

Frequently Asked Questions

Is the AI Prompt Engineering course free?

Yes. You can start the AI Prompt Engineering course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn AI Prompt Engineering?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior AI Prompt Engineering experience.

How will I learn AI Prompt Engineering on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing AI Prompt Engineering?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the AI Prompt Engineering course.

Can I learn AI Prompt Engineering on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn AI Prompt Engineering on any device and your progress syncs across them.

How much does CoddyKit PRO cost?

The first course of AI Prompt Engineering is free. CoddyKit PRO unlocks every course: $5.90 per week, $7.90 per month, $29.90 per year, or $69.99 once for lifetime access with no renewals.

How long does it take to complete AI Prompt Engineering?

AI Prompt Engineering has 53 courses and 199 lessons. Most lessons take about 5–10 minutes, so the whole path is roughly 23 hours of hands-on practice, at your own pace.

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