Are there prompt engineering best practices?

Yes! Writing good AI prompts isn’t guesswork. Prompt engineering best practices include setting clear roles, reusing tested templates, and using grounding techniques to keep outputs reliable. Stop guessing at what might work and getting stuck with bad results -- learn what to guide tone, check structure, and adapt prompts for different audiences. These aren’t technical tricks, they’re just AI prompt engineering best practices that anyone can master.

Does it pay well to know how to write good AI prompts?

Absolutely. You might be surprised to learn that “prompt engineer” is a real job. It’s niche, but it’s real. But it’s far from the only job that benefits from better AI prompts. Prompt engineering helps professionals in nearly any job get consistently more accurate, higher-quality outputs that save time, reduce errors, and add measurable value.

Is it hard to learn prompt engineering 101?

It’s not hard to learn prompt engineering, but it can be hard to know what to learn. That’s because it takes a lot of trial and error to see what works, what doesn’t, and how different AIs are different from each other. Meanwhile, this AI prompt engineering course starts from the ground up, showing you simple patterns and templates that work across ChatGPT, Gemini, and Claude. By the end, you’ll have practical tools you can use every day without the frustration of trial and error.

What jobs does an AI prompt engineering course apply to?

Learning best practices for AI prompts works in pretty much any job where people use AI to write, edit, analyze, or solve problems. That means marketing specialists, HR coordinators, project managers, customer support leads, educators, business analysts, and many more. AI tools can be really helpful when they’re directed well, so learn how to get the most valuable responses from them and accelerate your job.

AI Prompt Engineering with ChatGPT, Gemini, and Claude

AI is only as good as the prompts you give it. Learn how to engineer prompts the right way, and get better results from LLMs like ChatGPT, Gemini, and Claude. In this course for everyday AI users, you’ll learn prompt engineering best practices that turn AI from a guessing game into a reliable tool. Lay down guardrails, reuse AI prompt templates, and shape responses for tone, structure, and audience. Compare ChatGPT, Gemini, and Claude to discover what each model does best. By the end of this training, you’ll get more accurate outputs, and walk away with an AI toolkit you can start using on the job. Get accurate content, save time, and safely use AI in your natural flow of work.

Jonathan BarriosData Science, Machine Learning & AI

Updated September 2025

Request a Demo Preview a sample lesson

6Skills

46Videos

4h 50mTotal

46 videos4h 50m

Who This Course Is For

This prompt engineering course is for professionals who want to get more out of AI tools without wasting their time, or creating security risks. If you use ChatGPT, Gemini, or Claude in your daily work (or want to learn), dive into the AI prompt engineering best practices that will get you more reliable results right away.

Skills Your Team Will Gain

Set up safe and efficient chat workspaces in ChatGPT, Gemini, and Claude
Apply prompt engineering techniques for grounded, structured answers
Reuse AI prompt templates for consistent outputs
Compare strengths of ChatGPT, Gemini, and Claude for different tasks
Shape tone and audience in AI responses
Write strong role-based prompts for better results

Course Curriculum

Explore AI & Prompt Engineering FundamentalsFree47m
Premium skill.Set Up Your Chat Workspace with Guardrails45m
Premium skill.Build Prompt Basics with CRE + Shots46m
Premium skill.Build Templates by Guiding with Roles45m
Premium skill.Apply Grounding and Paste-In Retrieval (RAG)56m
Premium skill.Leverage Context for Better Prompts50m

Platform Features

For IT leaders

What IT leaders need to know before assigning this course

Unmanaged AI use can create inconsistent outputs, rework, and data-handling risk across a technical team. This beginner course gives IT Directors and Training Managers a practical way to standardize how teams use ChatGPT, Gemini, and Claude for day-to-day work. In about 4 hours and 49 minutes per learner, IT Practitioners build a shared prompt vocabulary: AI fundamentals, workspace guardrails, CRE prompt structure, few-shot examples, role-guided templates, grounding, paste-in retrieval (RAG), and better use of context. It fits teams that are already experimenting with AI and need safer, repeatable habits before broader rollout. For change management, assign it as a baseline before teams create internal prompt templates or AI usage guidelines. CBT Nuggets Playlists can help organize rollout by team, and Team Reporting helps leaders track completion.

Team Impact

How this training helps your team succeed

This training helps teams move from ad hoc AI experimentation to more consistent, governed use of common AI tools. The course focuses on practical prompting patterns teams can apply across ChatGPT, Gemini, and Claude.

Set up chat workspaces with guardrails so teams can reduce avoidable risk when using AI tools.
Build clearer prompts using CRE structure and examples, helping reduce back-and-forth and inconsistent responses.
Create reusable role-guided templates that support repeatable team workflows instead of one-off prompts.
Improve answer quality by grounding prompts with pasted-in source material, retrieval-style context, and better context management.

After completion

Knowledge & ability your team will gain

Knowledge

Core AI and prompt engineering fundamentals.
How guardrails support safer AI workspace habits.
How CRE prompt structure and “shots” improve prompt clarity.
How role guidance shapes more useful AI responses.
How grounding, paste-in retrieval, and context affect output quality.

Ability

Configure a practical chat workspace with team-appropriate guardrails.
Write prompts for ChatGPT, Gemini, and Claude using repeatable structures.
Build prompt templates guided by roles and examples.
Ground AI responses with pasted-in reference material.
Adjust context to get more relevant, usable AI outputs.

Readiness check

Confirm prerequisite knowledge before training begins

A short placement assessment on the CBT Nuggets assessments platform measures whether a learner already has the foundation this course assumes. IT Directors use it to put the right people in the right training — and any learner can take it right now to make sure they'll get full value from day one.

Questions generated from this course's own lesson transcripts — what gets measured is exactly what gets taught
Instant, per-learner results that show whether the prerequisite foundation is in place
Results roll up into team readiness reporting, so training hours go where they change outcomes

Take the placement assessment How assessments work

Runs on assessments.cbtnuggets.com — sign in with an Adept account so results roll up into team readiness reporting. Need one? Create an Adept account.

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