Start mastering Prompt Engineering today with “Prompt Engineering Bootcamp Free” and DStop memorizing random prompts. Instead, learn how Large Language Models (LLMs) actually work and how to use them effectively.
Go from beginner to mastering LLMs by learning how to create your own AI tools that will 10x your productivity and efficiency and take your career to the next level.
Course overview
Learn how to work with LLMs and AI. We guarantee you that this is the most comprehensive and up-to-date prompt engineering bootcamp course. You’re going to learn the skills needed to be in the top 10% of using AI in the real world.
WHAT YOU’LL LEARN
- Learn the fundamentals of prompting and its practical applications, including real-world examples from NASA and CRISPR
- Gain practical experience and a deeper understanding of how LLMs work (and how they don’t) through hands-on exercises
- Learn to use leading closed-source LLMs like GPT-4o and Claude Opus and even set up your own open-source LLMs
- Master empirically-proven prompting techniques to improve the effectiveness and utility of your interactions with LLMs
- Apply your skills in real-world scenarios through numerous guided and unguided projects that teach you to apply your skills
- Stay updated with the latest advancements in AI and prompt engineering, with continuous course updates to ensure you are always at the cutting edge
The world is buzzing with AI hype. And it’s easy to get swept up.
But here’s the real talk: prompt engineering isn’t a standalone career (at least for the vast majority of people).
However, prompt engineering is a critical skill set that you will need to know in the years to come.
AI isn’t going to take your job… but someone that knows how to use AI to do your job better, faster, and more effectively, will take your job.
Just like you need to know how to use Microsoft Word and Excel to work in the modern office environment, you’ll need to know how to prompt and work with LLMs.
Learning prompt engineering will open doors to opportunities in every career. And learning how to properly work with LLMs will ensure you set yourself apart from people you’re competing for jobs with.
This course teaches prompting based on 6 core principles:
1. Empirical Research and Peer-reviewed Studies:
This course is focused on the science behind prompting and working with LLMs, not the hype.
So we’ll explore what AI researchers at leading universities and companies like OpenAI, Google DeepMind, and Anthropic are doing to improve and implement their own prompts.
2. Hands-on Demos and Exercises:
You can’t actually learn to work with LLMs unless you actually, well, work with ’em! That’s why this bootcamp is filled with exercises that allow you to get your hands dirty and test the limits of what LLMs can do.
3. Guided and Unguided Projects:
Putting your skills into practice and building something real – something useful – not only feels great, but it’s the best way to solidify your knowledge and allow you to apply it to your own real-world scenarios.
That’s why this course has numerous guided and unguided projects that allow you to do just that.
4. Opportunity to Use Leading Closed- and Open-source Models:
This course is designed to allow you to use whatever LLM you prefer, whether free or paid. You’ll even be shown how to download and setup your own open-source LLMs that run locally on your computer.
5. Advanced Tools and Techniques:
Prompt engineering at its core is very basic: ask a question and get an answer!
But this course goes far beyond the basics, so that you’ll learn empirically-validated techniques that will increase the utility and effectiveness of your prompting.
This will allow you to create mini-computer programs using nothing but natural language (a prompt). This is vital if you’re using LLMs for work or to power your own AI applications.
6. The Latest Information and Updates:
The AI world is advancing rapidly, with new information every week. We’re committed to constantly updating this course so that you’re learning the latest information and can stay on the cutting edge.
While some courses out there might promise the moon, we’re here to keep it grounded.
Our course is designed to arm you with practical, no-nonsense skills needed to interact effectively with LLMs.
Whether you’re aiming to boost your productivity, enhance creative projects, or develop smarter tech solutions, understanding the nuances of crafting prompts is key.
By enrolling today, you’ll also get to join our exclusive live online community classroom on Discord where you’ll learn alongside thousands of students, alumni, mentors, TAs and Instructors.
What Is Prompt Engineering and Why Is It Useful?
Prompt Engineering is the skill of communicating effectively with AI to maximize its utility and accuracy.
Think of it as teaching you to be an AI-whisperer, to speak in a language where seemingly small changes can radically alter the quality of outcomes you get from Large Language Models like ChatGPT, Claude, and Llama.
Why does this matter?
Because the ability to fine-tune your interactions can be the difference between getting a generic response and unlocking truly valuable insights.
Whether you’re a developer, a marketer, a researcher, or simply an AI enthusiast, mastering prompting allows you to steer the AI more reliably and creatively.
What’s The Bottom Line?
This course is not about giving you a random list of prompts or just making you watch some videos so that when you are done with the course you don’t know what to do other than watch another tutorial.
Instead, this course will push you and challenge you to go from a beginner to being in the top 10% of people using LLMs 💪.
And… you have nothing to lose.
You can start learning right now and if this course isn’t everything you expected, we’ll refund you 100% within 30 days. No hassles and no questions asked.
| Course Name | Original Source | Category | Publisher |
|---|---|---|---|
| Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery | https://zerotomastery.io/courses/prompt-engineering-bootcamp/ | Prompt Engineering | ZeroToMastery |
Add your first comment to this post