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The Complete Prompt Engineering for AI Bootcamp (2024)

Learn practical coding skills for working professionally with AI, including GPT-4, Stable Diffusion, and GitHub Copilot.

Clemers Edu. | Author Level 1

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What you will learn

  • Learn the strengths and weaknesses of ChatGPT, Midjourney, GitHub Copilot, Stable Diffusion & other major models.

  • Apply what you’ve learned to generate new AI products in 15+ real-world projects for both text and image generation use cases.

  • Recognize the "Five Principles of Prompting", as well as common tips & tricks for professional grade output.

  • Understand the Python coding patterns and tooling you need to run and scale AI reliably in production, and start working as an AI Engineer.

Are you eager to dive into the world of AI and master the art of Prompt Engineering? The Complete Prompt Engineering for AI Bootcamp (2024) is your one-stop solution to becoming a Prompt Engineer working with cutting-edge AI tools like GPT-4, Stable Diffusion, and GitHub Copilot!

We update the course every month with fresh content (AI moves fast!):

**Updated: March, 2024 – "More content on vision models, and evaluation as well as reworking old lessons."

**Updated: February, 2024 – "Completely reworked the five principles of prompting + added one pager."

**Updated: January, 2024 – "Added a one-pager graphic and fixed various errors in notebooks."


Before we made this course we had both been experimenting with Prompt Engineering since the GPT-3 beta in 2020, and DALL-E beta in 2022, way before ChatGPT exploded on the scene. We slowly replaced every part of our work with AI, and now we work full time in Prompt Engineering. This course is your guide to doing the same and accelerating your career with AI.

*Since launching this course, Mike and James have been commissioned to write a book for O'Reilly Media titled "Prompt Engineering for Generative AI" (early 2024 release).*

Whether you're an aspiring AI Engineer, a developer learning Prompt Engineering, or just a seasoned professional looking to understand what's possible, this comprehensive bootcamp has got you covered. You'll learn practical techniques to harness the power of AI for various professional applications, from generating text and images to enhancing software development and boosting your creative projects.

! Warning !: The majority of our lessons require reading and modifying code in Python (for each lesson marked with "- Coding" in the title). Please don't buy this course if you can't code and aren't seriously dedicated to learning technical skills. We've heard from non-technical people they still got value from seeing what's possible, but please don't complain in the reviews ;-)

The number of papers published on AI every month is growing exponentially, and it’s becoming increasingly difficult to keep up. The open-source project Stable Diffusion is the fastest growing repository in GitHub in history, and ChatGPT is the fastest growing consumer product in history, hitting 1 million users in less than a week and 100m in a few months.

This course will walk you through:

Introduction to Prompt Engineering and its importance

Working with AI tools such as ChatGPT, GPT-4, Midjourney, GitHub Copilot, GPT-4, DALL-E, and Stable Diffusion

Understanding the capabilities, limitations, and best practices for each AI tool

Mastering tokens, log probabilities, and AI hallucinations

Generating and refining lists, summaries, and role prompting

Utilizing AI for sentiment analysis, contextualization, and step-by-step reasoning

Techniques for overcoming token limits and meta-prompting

Advanced AI applications, including inpainting, outpainting, and progressive extraction

Leveraging AI for real world projects like generating SEO blog articles and stock photos

Advanced tooling for AI engineering like Langchain and AUTOMATIC1111


So why wait? Boost your career and explore the limitless potential of AI by enrolling in The Complete Prompt Engineering for AI Bootcamp (2024) today!

Who this course is for:
AI power users who want to learn more advanced practices and learn to run Python code to use AI at scale.
Developers interested in AI and hoping to learn how to get more reliable results in production.
AI Engineers who want to keep up with the latest techniques and developments in the industry.

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