New to prompting? These 10 lessons take you from zero to writing solid, effective prompts. No prior AI experience needed.
What is a Prompt? Your First Step into AI
Understand what a prompt is, how AI models process them, and why the words you choose matter more than you think.
Clarity & Specificity: The #1 Prompting Skill
Learn why clarity is the single most impactful skill in prompt engineering and how to be specific in ways that dramatically improve your AI outputs.
Assigning Roles & Personas to AI Models
Learn how to use role assignment to prime AI models with domain expertise and improve the relevance, tone, and accuracy of their outputs.
Formatting Output: Control How AI Responds
Learn how to explicitly control the structure, length, and format of AI responses — so you get exactly what you need, every time.
How LLMs Work: What Every Prompter Should Know
A practical, non-technical explanation of how large language models work — and why this understanding makes you a dramatically better prompt engineer.
Giving AI the Context It Needs
AI doesn't know who you are, what you do, or what you're trying to accomplish. Learn what context to provide — and how to provide it — so you stop getting generic answers.
How to Iterate and Refine Your Prompts
One prompt rarely gets you where you want to go. The best results come from treating prompting as a conversation — refining, redirecting, and building on each response.
10 Common Prompting Mistakes (And the Fixes)
These are the patterns that produce bad AI output most of the time. Learn to spot them in your own prompts, fix them, and stop making them by default.
LLM Settings: Temperature, Top-P, Max Tokens, and More
Understanding temperature, top-p, max tokens, and stop sequences lets you control exactly how an AI model responds. Here's what each setting does and when to change it.
Prompt Elements: The Four Building Blocks of Any Good Prompt
Every effective prompt is built from four elements: instruction, context, input data, and output format. Learn what each does and how to combine them for consistently better results.
After this track:
Move on to the Intermediate Track to learn few-shot prompting, XML structure, chain of thought, and more.
Go to Intermediate Track
