Course Overview
This is a short, free introduction to writing better instructions for AI chat tools. It runs for under two hours and is split into seven lectures. It starts with how language models behave: tokens, context, and why answers vary. It then moves on to prompting methods you can use right away.
Beyond the basics, the course covers the practical side of working with AI. You'll see how to tighten a weak prompt, reduce made-up answers, and apply prompts to business tasks, coding, and content work. It finishes with building small projects and a look at prompt use in larger organizations, including security. Treat it as a quick, wide survey rather than a deep technical program.
What You Will Learn
- Use zero-shot, few-shot, and chain-of-thought prompting, plus role-based prompts
- Understand how models handle tokens and context, and why that affects results
- Structure prompts so responses are more consistent and easier to control
- Spot and reduce hallucinations, and debug prompts that underperform
- Apply prompting to code generation, debugging, reports, summaries, and documentation
- Sketch simple AI-powered assistants and workflow automations
- Understand the basics of prompt engineering in an enterprise setting, including security concerns
Course Structure
The course has 2 sections and 7 lectures:
- Introduction to Prompt Engineering & AI Basics (19:23)
- Types of Prompts & Core Techniques (7:10)
- Advanced Prompt Strategies for Better Outputs (16:18)
- Prompt Optimization & Debugging (16:27)
- Use Cases: Business, Coding, Content Creation (15:35)
- Building Projects with Prompt Engineering (15:24)
- Enterprise Prompt Engineering & Security (15:08)
Six of the seven lectures run 15 to 19 minutes. The lecture on prompt types is only about seven minutes.
Who Is This Course For?
It suits people who want a first look at prompt engineering without paying for it:
- Newcomers curious about AI careers
- Analysts and business professionals who want to get more out of ChatGPT-style tools
- Developers who want a quick overview before going deeper
- Founders and content creators exploring AI-assisted workflows
If you already prompt models daily and know the standard techniques, much of this will be familiar. The same goes if you want guided exercises, graded work, or a long project. You'd be better off with a longer program.
Format & Time Commitment
The course is self-paced video, with closed captions and access on mobile and TV. You can finish it in one or two sittings. Learners who pause to try each technique in ChatGPT will get more from it, since the course assumes you'll practice on your own.
Pros and Cons
Pros
- Costs nothing and takes under two hours, so there's little risk in trying it
- Needs no technical background; a browser and access to a chat tool are enough
- Covers the full arc from basics through debugging, use cases, and enterprise concerns
- Updated in 4/2026, so it's relatively current
Cons
- Seven topics in under two hours means each one gets limited depth
- One reviewer said the slides didn't always match what the presenter was explaining
- Another reviewer wanted an assignment or illustration for each module; the course has no structured practice tasks
- Only 52 ratings, so the 4.2 average is a small sample
- The enterprise and security material is a brief overview, not a working guide for a company rollout
FAQ
Is the course really free?
Yes, it's currently listed at no cost. Prices on Udemy can change, so check the page before you enroll.
Do I need to know how to code?
No. The page says no AI or programming experience is required, only basic computer skills and some familiarity with web tools like ChatGPT.
How long will it take?
The videos total 1 hour 45 minutes. Add extra time if you want to try the prompts yourself.
Is there a longer alternative?
Yes. Udemy also lists a separate, longer "Complete Prompt Engineering for AI Bootcamp (2026)" of about 19.5 hours. It's a paid course with a much larger student base, so it may suit you if this one feels too brief.
Curious whether it fits your level? The free Udemy page lets you check the full lecture list before you commit any time.
