Mô tả

Welcome to the "Complete ChatGPT Prompt Engineering Course", an immersive learning experience designed for professionals who seek to harness the power of artificial intelligence to boost their productivity at work.

In this course, we dive deep into the art and science of Prompt Engineering, a crucial skillset for anyone looking to leverage the groundbreaking advancements in AI, specifically the ChatGPT model, to improve their work processes. We will explore how to create, refine, and deploy prompts effectively to solicit desired responses from AI language models, serving a wide array of practical applications.

Throughout the course, you will be engaged in hands-on projects:

Project #1:
Engineering Your LinkedIn Summary Prompt

Project #2: Building a Blog Post Generator Prompt

Project #3: Create a PowerPoint Presentation Prompt

Project #4: Currency Converter With Python and Bing Prompt

Project #5: Competitor Market Research Using Plugins Prompt

Project #6: Amazon Sales Chatbot Prompt

Project #7: Building an AI-Powered Web App using Bubble and OpenAI APIs.

Plus 8 more projects in the 'Challenge Bank' chapter, including:

Project #8:
Converting Code with ChatGPT

Project #9: Create a Classic Game of 'Pong' Entirely with ChatGPT

Project #10: Auto-Email Reply Generator

Project #11: Creating Flashcards with ChatGPT and Anki

Project #12: Automating Excel with ChatGPT and VBA

Project #13: Analyzing Data with GPT for Sheets

Project #14: Scraping PDFs with ChatGPT

Project #15: Summarization and Translation

These real-world applications serve as stepping stones towards mastering the utilization of AI language models in your daily tasks.

By the end of this course, you will:

  • Supercharge your productivity

  • Enhance the quality of your work

  • Secure your position in the job market

  • Automate complex business processes, saving time and effort

  • Stay ahead of AI advancements in a $1.5 Trillian industry


We will also delve into the strategies for analyzing and debugging prompt responses, an essential skill in ensuring the accuracy and relevance of AI outputs. Advanced Prompt Engineering techniques, including using plugins for more complex tasks like conducting competitor market research, will be unveiled to elevate your skills further.

By the end of this course, you will not only understand the fundamentals and advanced aspects of Prompt Engineering but you will also be well-equipped to implement these techniques in your professional life, driving increased efficiency and effectiveness in your daily tasks. This course is your stepping stone towards becoming a frontrunner in the rapidly evolving field of AI and language models.

Whether you're a seasoned professional looking to upskill or a busy individual seeking to leverage AI for improved productivity, this course offers a comprehensive guide to mastering Prompt Engineering with real-world applications.

Enroll today and step into the future of efficient and effective work!

Bạn sẽ học được gì

Create and refine state-of-the-art prompts from scratch.

Automate 15+ real-world business processes with ChatGPT.

Master the OpenAI Playground and learn prompting best practices.

Create business solutions and web applications with the OpenAI API.

Yêu cầu

  • No prior prompting or programming knowledge needed. You will learn everything you need to know in the course.

Nội dung khoá học

12 sections

Introduction to Prompt Engineering

9 lectures
What is Prompt Engineering?
08:11
Get the Prompts Here
00:11
Create your Account: ChatGPT and Playground
11:49
Demonstrating the Power of ChatGPT
03:31
Who is this Course for?
03:53
How to Become a Language Model Whisperer
04:25
Protect your Privacy
04:52
How to get Support when you need it?
01:48
What you can Expect?
04:47

The Science of Prompt Engineering

19 lectures
Understanding the 3 Types of AI
04:47
Speak the Same Language as AI
03:05
Create your Auto-Reply Email Generator
04:05
Using our Best Prompting Principles
06:52
What are AI Language Models
05:30
GPT in a Nutshell
24:17
Understanding Short-Term and Long-Term Memory Mangement
08:01
Learning Approaches in AI
06:08
Types of Prompts
05:03
Query Decomposition
07:26
Decision Making in Prompt Engineering
03:54
Role-Based Prompting
05:26
Ensuring Semantic Coherence
04:33
Answer Engineering
07:02
Handling Pitfalls and Limitations of LLMs
08:21
Pricing and The Role of Tokens
05:23
Generate and Analyze Images with GPT-4 (Multimodal)
10:02
Follow Along with the Projects
00:59
The Science of Prompt Engineering
3 questions

Project #1: Engineering Your LinkedIn Summary Prompt

14 lectures
Project #1 Demo: Engineering Your LinkedIn Summary Prompt
02:10
What are Hyperparameters?
02:45
Choosing the Mode
04:20
Selecting the Model
02:00
Using Zero-Shot Prompting
08:44
Populating the Prompt
08:19
Using Token Probabilities
06:35
Controlling Computational Creativity - Temperature and Top P
07:43
Optimizing Max Length
06:53
What are Frequency and Presence Penalty?
05:10
Enhancing Outputs with 'Best Of'
09:29
Inject Start and Restart Text
06:35
Engineer your Cover Letter
1 question
Understanding Hyperparameters
3 questions

Project #2: Building a Blog Post Generator

12 lectures
Project #2 Demo: Building a Blog Post Generator
01:47
What are System, User and Assistant?
04:08
Role Prompt the AI
03:05
One-Shot Prompting
05:39
Few-Shot Prompting
11:42
Optimizing your Blog's SEO
07:01
Using AI to Grade AI
04:41
Detecting AI in your Responses
13:01
Advanced Utilization of the System Message
07:24
Setting Custom Instructions for ChatGPT
13:01
Engineer your Blog
1 question
Zero, One and Few Shot Prompting
3 questions

Project #3: Create a Powerpoint Presentation

7 lectures
Project #3 Demo: Create a PowerPoint Presentation
03:09
Leveraging the Power of System Messages
03:28
Discrete Prompting in the System Message
05:57
Combining Discrete and Continuous Prompting
04:40
Amend your Code with GPT
07:16
Playground vs ChatGPT for Code
04:46
Create your PowerPoint Presentation
1 question

Project #4: Currency Converter With Python and Bing

11 lectures
Project #4 Demo: Currency Converter with Python and Bing
02:18
ChatGPT with Internet Access
00:08
What is Response Analysis?
03:17
What are Hallucinations?
06:13
Dealing with Hallucinations
08:11
Re-Training ChatGPT
06:07
Validating Code Syntax
09:14
Validating Web-Scraped Data from ChatGPT
07:37
Leveraging your Domain Knowledge
05:19
Build a Currency Converter with Python and ChatGPT
1 question
Response Analysis and Validation
2 questions

Project #5: Competitor Market Research Using Plugins

8 lectures
Project #5 Demo: Competitor Market Research Using Plugins
02:27
Enabling Auto-Summarization
09:03
Analyze your Competitors with ChatGPT
04:18
Widening your Prompt's Application
08:12
Increase your Prompting Power
11:40
Avoiding Plugin Pitfalls
06:57
Engineer your Competitor Auto-Analyst Prompt
1 question
Using Link Reading/Web-Scraping Plug-Ins
3 questions

Project #6: Amazon Sales Chatbot

11 lectures
Project #6 Demo: Amazon Sales Chatbot
03:23
Incorporating In-Context Learning
07:35
Cementing Characterization Borders
08:47
Compartmentalized Problem Solving
08:40
Trialing the Chatbot
07:45
Balancing Cost with Accuracy
14:04
Building in Link Generation
09:48
Use this Trick for Lengthy Prompts
11:40
Finalizing the Chatbot
13:17
Create your Chatbot
1 question
Using all of your New Tools to Prompt
3 questions

Project #7: Building an AI Powered Web App using Bubble and OpenAI APIs

36 lectures
Project #7 Demo: Building AmazonGPT Web Application
08:08
Create Account with AmazonGPT
00:10
Create Bubble.io Account and Create New App
04:13
Test-run of AmazonGPT
03:06
Preview Bubble Editor of Completed App
00:05
Log User In
17:38
Using the API Connector
05:41
Create Headers and Authorization
03:02
Configure Parameters
03:41
Create Message Data Type
06:03
Create New User
05:52
Create JSON Formatted User Message
08:14
Join JSON Messages for Thread
04:57
Create Assistant Message
04:32
Debugging the 400 Error
04:23
Assign User and Assistant Messages
01:21
Formatting the System message for Bubble
10:30
Formatting the User and Assistant Messages for Bubble
12:09
Debugging Repeating Group
03:36
Improving User Experience of Input Field
06:45
Make Links Clickable
08:32
Change Colors of UI
04:27
Aligning Elements to Center
11:00
Differentiating Between User and Assistant Messages
04:13
Add Icons
13:29
Adjusting Margins
11:58
Remove Scroll Bar
04:03
Send Message UI
12:47
Align Elements on Page
02:05
Improving Responsiveness of Header and Making the Logo
13:06
Add Logo to Sign Up Page
04:54
Including a Legal Disclaimer
03:55
Adding Another Legal Disclaimer
01:49
API Key Encryption
16:57
Configure gpt-4
10:38
Add Loading Spinner for Better UX
06:45

Developer Toolbox

7 lectures
Demo: Developer Toolbox
03:00
Download GPT Locally Using HuggingFace
13:05
Integrating Applications with LangChain
16:56
Create your own Fine-Tuned Model
18:43
A Developer's Secret Weapon
05:15
Visualizing Embeddings in a 2D-Field
11:14
Integrating UiPath and OpenAI's GPT models
00:23

Challenge Bank

17 lectures
Intro: Challenge Bank
00:07
Challenge 1: Converting Code with ChatGPT
00:17
Challenge 1 Solution
04:29
Challenge 2: Create a Classic Game of 'Pong' Entirely with ChatGPT
00:18
Challenge 2 Solution
06:59
Challenge 3: Auto-Email Reply Generator
00:16
Challenge 3 Solution
04:10
Challenge 4: Creating Flashcards with ChatGPT and Anki
00:21
Challenge 4 Solution
07:41
Challenge 5: Automating Excel with ChatGPT and VBA
00:01
Challenge 5 Solution
03:55
Challenge 6: Analyzing Data with GPT for Sheets
00:19
Challenge 6 Solution
06:51
Challenge 7: Scraping PDFs with ChatGPT
00:18
Challenge 7 Solution
06:01
Challenge 8: Summarization and Translation
00:09
Challenge 8 Solution
04:37

Conclusion

1 lectures
Congratulations!
01:50

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