Prompt Engineering Course: Working Effectively with LLMs
Master the art and science of communicating with Large Language Models. This beginner-friendly course teaches you how to design, test, and optimize prompts using proven patterns to build reliable, real-world AI-powered workflows.
Created by Route Radiant
@routeradiant · view creatorPreviewing this curriculum
Enroll free to unlock every interactive mission, your progress tracker, and a verified certificate when you finish.
Full Curriculum
1Foundations of LLM Communication
Understand how Large Language Models process instructions and how to structure your initial inputs for maximum clarity.
4 missions
Foundations of LLM Communication
Understand how Large Language Models process instructions and how to structure your initial inputs for maximum clarity.
2Core Prompting Patterns
Learn the industry-standard patterns used to shape model behavior, tone, and formatting.
4 missions
Core Prompting Patterns
Learn the industry-standard patterns used to shape model behavior, tone, and formatting.
3Advanced Reasoning and Structure
Guide models through complex logical steps and extract clean, machine-readable data.
4 missions
Advanced Reasoning and Structure
Guide models through complex logical steps and extract clean, machine-readable data.
4Evaluating and Iterating Prompts
Move from intuitive guessing to systematic testing and optimization of your prompts.
4 missions
Evaluating and Iterating Prompts
Move from intuitive guessing to systematic testing and optimization of your prompts.
5LLM Limitations and Hybrid Solutions
Identify the boundaries of prompt engineering and when to transition to other AI architectures.
4 missions
LLM Limitations and Hybrid Solutions
Identify the boundaries of prompt engineering and when to transition to other AI architectures.
6Course Project: Building a Production-Ready Prompt Library
Apply your skills to build, test, and document a complete prompt portfolio for a real-world workflow.
4 missions
Course Project: Building a Production-Ready Prompt Library
Apply your skills to build, test, and document a complete prompt portfolio for a real-world workflow.
What You'll Learn
- Anatomy of a Prompt
- Controlling Output Variability
- Isolating Input Data
- Formatting Clear Instructions
- Persona and Role Prompting
- Few-Shot Learning
- System vs. User Messages
- Negative Constraints
- Chain-of-Thought Prompting
- Enforcing Structured Outputs
- Least-to-Most Prompting
- Self-Consistency and Verification
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