Mô tả

Are you eager to dive into the world of AI and master the art of Prompt Engineering? The Complete Prompt Engineering for AI Bootcamp (2023) 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: October 31, 2023 – "12 more lessons including GPT-V Vision, Github Co-pilot, LangChain and more."

**Updated: September 28, 2023 – "10 more lessons, including projects, more LangChain, non-obvious tactics & SDXL."

**Updated: August 23, 2023 – "10 lessons diving deep into LangChain, plus upgraded 9 lessons from GPT-3 to GPT-4."

**Updated: July 28, 2023 – "built out the prompt pack, plus 10 more advanced technical lessons added."

**Updated: June 27, 2023 – "added 6 new lessons and 4 more hands-on projects to apply what you learned."

**Updated: May 26, 2023 – "fixed issues with hard to read text mentioned in reviews, and added 15 more videos."

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

We've had over 3,000 5-Star Reviews!

Here's what some students have to say:

  • "Practical, fast and yet profound. Super bootcamp." – Barbara Herbst

  • "This is a very good introduction about how AI can be prompt-engineered. The instructor knows what he's talking about and presents it very clearly." – Eve Sapsford

  • "Awesome course for beginners and coders alike! Thoroughly enjoyed myself and the guys delivered some great insights, explaining everything in a straight forward way. Would highly recommend to anyone" – Jeremy Griffiths

  • "This is a very good introduction about how AI can be prompt-engineered. The instructor knows what he's talking about and presents it very clearly." – Hina Josef Teahuahu

  • "The course is quite detailed, I think almost every topic is covered. I liked the coding parts especially." – Gyanesh Sharma

  • "Loved how your articulated the value of thoughtfully engineered prompts. The hands-on exercises were insightful." – Akshay Chouksey

  • "Good content but at few steps voice sounds very robotic, which is funny considering the course is about AI." – Shrish Shrivastava

  • "Awesome and Detailed Course. Helped a lot to understand the nuances of prompt engineering in AI." – Prasanna Venkatesa Krishnan

  • “The best parts of the online training were demonstrations and real-life hints. Interesting and useful examples”

  • "Good" – Jayesh Khandekar

  • "Mike and James are very good educators and practitioners. Mike also has courses on LinkedIn; together with James, they are running Vexpower. The price is low to collect reviews. It will go up, for sure. GET" – Periklis Papanikolaou

  • "This course is a legit practical course for prompt engineering, I learned a lot from this course. The resources that they provided is good, but some of the course (tagged with 'Coding' in the Course Title) is for intermediate or advance people in Python programming. If you are not usual with Python, this will be a challenge (like me), but we can overcome it because they taught us step by step pretty clearly (of course I need to pause or backwards). Thanks for this course, but you guys can provide more real case scenario when using AI (less/without coding maybe...)" – J Arnold Parlindungan Gultom

So why wait? Boost your career and explore the limitless potential of AI by enrolling in The Complete Prompt Engineering for AI Bootcamp (2023) today!

Bạn sẽ học được gì

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

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

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

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

Yêu cầu

  • Python Coding Required

Nội dung khoá học

21 sections

Introduction

7 lectures
Introduction to the course
01:29
What is Prompt Engineering?
11:29
Accessing resources and prompts
00:10
Optional videos to only do if you know coding
00:35
ChatGPT AI Prompt Pack - 690 Effective Prompts
01:18
Find a prompt that fails
3 questions
Using OpenAI Playground
08:21

Five Principles of Prompting

7 lectures
Give Direction
05:22
Specify Format
04:49
Provide Examples
05:25
Evaluate Quality
06:31
Divide Labor
04:58
Applying The Five Principles + Worksheet & One Pagers
10:20
Fix your failing prompt
2 questions

How does AI work?

2 lectures
What are Tokens?
04:32
AI Hallucinations
02:41

Standard Text Model Practices

16 lectures
List Generation
03:53
Sentiment Analysis
02:12
Explain It Like I'm Five
01:55
Least to Most
01:32
Writing Clear Instructions - Detailed Instructions
01:22
Writing Clear Instructions - Specifying the Steps
01:18
Writing Clear Instructions - Delimiters
03:18
Writing Clear Instructions - Specifying Length
00:52
Let's Think Step by Step
02:18
Role Prompting
02:33
Ask for Context
03:44
Question Rewriting
01:07
Pre-Warming Chats
04:07
Progressive Summarization
02:24
Overcoming the Token Limit in ChatGPT
02:06
Tell me a funny joke
04:19

Advanced Text Model Techniques

13 lectures
Meta Prompting
02:41
Chain of Thought Reasoning
02:00
Prompt Injection
04:48
Automatic Prompt Engineer
09:29
Github Repository for the Course
00:41
Advanced List Generation - Coding
06:33
Prompt Optimization - Coding
08:47
Overcoming Token Limit - ChatGPT Chunking - Coding
06:30
Vector Databases - Coding
18:54
Reason and Act (ReAct) - Coding
06:59
Recursive Re-prompting and Revision - Coding
11:10
Information Retrieval with Vector Databases - Coding
09:09
AI Resource Hub
00:05

Deep Dive on LangChain - Coding

24 lectures
What Is LangChain? - Coding
02:47
Installation - Coding
03:17
Chat Models - Coding
02:46
Chat Prompt Templates - Coding
03:53
Streaming - Coding
00:49
Output Parsers - Coding
04:53
Summarizing Large Amounts of Text - Coding
05:28
Document Loaders, Text Splitting & Creating LangChain Documents - Coding
03:45
Tagging Documents - Coding
02:59
Tracing with LangSmith - Coding
08:56
LangChain Hub - LangSmith - Coding
03:41
LCEL - The Runnable Protocol - Coding
10:17
LCEL - Chat Models, itemgetter & RAG - Coding
07:44
LCEL - Chat Message History & Memory - Coding
06:59
LCEL - Creating Multiple Chains - Coding
02:29
LCEL - Conditional Logic, Branching & Merging - Coding
06:43
Using JSON Mode with LangChain - Coding
02:02
Exercise - Using JSON Mode with LangChain - Coding
00:29
LCEL - with JSON Mode - Coding
02:02
LCEL - with OpenAI Functions & JSON mode - Coding
03:10
Exercise - LCEL - with OpenAI Functions & JSON mode - Coding
00:24
LangChain Vector Databases + the Indexing API - Coding
09:05
LCEL Configurable Fields - Coding
04:56
LangChain Agents & Tools - Coding
14:39

Prompt Optimization & Evals

4 lectures
What are Evals?
11:25
Prompt Testing in GSheets (without code)
13:06
Maximizing LLM & Image Model Performance: Advanced Evaluation Strategies
20:59
Eval for a RAG system
03:37

AI Text Model Projects

13 lectures
Create an entire ebook
17:43
SEO Blog Articles
02:39
Thought Leadership Posts
25:09
Summarizing Text - Coding
29:34
Summarizing An Entire Book - Coding
07:02
Review Classification - Coding
03:10
Text To Speech using OpenAI - Coding
05:01
Using an Open-Source LLM - Coding
07:50
Transcribing audio from a Youtube Video - Coding
06:07
Fine-Tuning on Writing Style - Coding
11:33
Adcopy Writing - Coding
08:18
Social Media Posting - Coding
05:46
Reverse Engineering a Publication - Coding
13:07

Standard Image Model Practices

9 lectures
Style Modifiers
02:10
Quality Boosters
02:44
Negative Prompts
03:15
Weighted Terms
02:51
Prompt Rewriting
04:25
Inpainting
04:08
Outpainting
04:44
Realistic Models
04:12
Consistent Characters
05:02

Advanced Image Model Techniques

16 lectures
Midjourney Outpainting (Zoom Out / Pan)
09:18
Midjourney Inpainting (Vary Region)
06:28
Meme Unbundling
03:23
Meme Mapping
06:25
Permutations Prompts
05:07
Prompt Reverse-Engineering
03:20
Prompt Token Analysis
04:17
AUTOMATIC1111 - Requires Automatic1111
10:55
X/Y/Z Prompt Grids - Requires Automatic1111
05:14
Advanced Inpainting - Requires Automatic1111
12:28
ControlNet - Requires Automatic1111
10:27
ControlNet Inpainting - Requires Automatic1111
06:26
Segment Anything - Requires Automatic1111
04:50
Textual Inversion - Coding
14:47
Dreambooth - Coding
09:21
Migrating to Stable Diffusion XL in AUTOMATIC1111 - Coding
04:58

AI Image Model Projects

8 lectures
AI Custom Illustrations
08:44
Making a Brand Logo
03:40
AI Stock Photos
08:36
Runway - Creating b-roll footage
02:46
Making a Brand Logo - Coding
14:00
Product Placement - Coding
06:45
Tagging Ad Creative - Coding
13:30
AI Profile Picture - Coding
06:56

Deep Dive on ChatGPT

9 lectures
What is ChatGPT?
05:37
Prompting ChatGPT
03:25
ChatGPT Capabilities and Limitations
02:02
ChatGPT Shortcuts
00:35
ChatGPT Custom Instructions
02:30
ChatGPT - DALL-E 3
07:09
ChatGPT+ (Code Execution, DALLE, GPTs & Web Browsing Functionality)
05:52
ChatGPT - GPT-V (Vision)
04:05
GPT Store - Building custom GPTs - Coding
09:07

Deep Dive on GPT-4

3 lectures
What is GPT-4?
03:58
Prompting GPT-4
06:08
GPT-4 Capabilities and Limitations
05:24

Deep Dive on Midjourney v6

3 lectures
What is Midjourney?
05:01
Prompting Midjourney
06:51
Midjourney Capabilities and Limitations
03:55

Deep Dive on Stable Diffusion XL

3 lectures
What is Stable Diffusion?
04:07
Prompting Stable Diffusion - Coding
08:02
Stable Diffusion Capabilities and Limitations
02:58

Deep Dive on DALL-E 3

3 lectures
What is DALL-E 3?
03:16
Prompting DALL-E 3
05:51
DALL-E 3 Capabilities and Limitations
01:50

Deep Dive on GitHub Copilot - Coding

6 lectures
What is GitHub Copilot? - Coding
03:06
Installing Copilot - Coding
02:52
Prompting GitHub Copilot - Coding
03:30
GitHub Copilot Capabilities and Limitations - Coding
02:41
Github Copilot - Editing Features - Coding
03:30
Github Copilot Chat + Custom Prompts
03:34

Multimodal Models

4 lectures
Vision Prompting Guide
14:00
Automating Product Descriptions via GPT-V
04:08
Automating UX Landing Page Analysis via GPT-V
07:33
Memetic Analysis with GPT-V
11:58

Deep Dive on other AI Models

12 lectures
What is Google Bard/Gemini?
02:57
What is Meta LLaMA 2?
05:09
What is Anthropic Claude?
02:35
Runway ML
04:05
What is Microsoft 'New' Bing?
02:42
What is Tencent ARC?
02:13
What is Google Vision?
02:52
What is OpenAI Whisper?
01:39
What is Falcon?
02:46
Text Generation WebUI - Coding
06:46
What is Mistral 7B?
04:29
Testing Open-Source Models
11:59

AI Tools we've tried

1 lectures
PromptLayer
04:44

Conclusion

2 lectures
Sources of Inspiration
04:55
Next steps after the course
00:41

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