Here in this captivating course “ChatGPT Prompt Engineering Essentials - Shaun Wassell”, you will turn activities such as writing, problem solving, programming, and even data processing, while learning the best practices and mistakes to avoid when formulating a prompt. You will also be exposed to live examples so that you are fully aware of how prompts are actually prepared. Given the importance of AI-driven communication in industries, knowing the art of prompt engineering enables you to get the most out of an Application such as ChatGPT and position yourself as an expert in the innovation of Artificial Intelligence applications.
"Those who know how to prompt the AI to do their bidding, and to do it faster and better and more creatively than anyone else, is going to be golden." - Nikhil Dey
The specificity of the course is that it covers the extremely limited number of effective cases where the usage of generative AI tools is possible. You will exhaustively dissect each of the circumstances and compile a set of templates to increase your efficiency. At the end of the course “ChatGPT Prompt Engineering Essentials - Shaun Wassell,” you will learn about prompt engineering, systemically improving the input, and how to utilize the API for additional concepts. You will also discover how to fine-tune ChatGPT output based on the required domain and create content in many different fields.
This course, “ChatGPT Prompt Engineering Essentials - Shaun Wassell,” is suitable for working professionals seeking knowledge on the developments in generative AI, a guide that enlists prompting strategies, and using ChatGPT to generate content, analyze data, and many more. What is more, it is not necessary to have prior knowledge of programming, though it is always beneficial; therefore, the course is open to everybody.
"Prompt engineering is likely to become a larger hiring category in the next few years, but organizations also expect to reskill their existing employees in AI." - McKinsey
ChatGPT Prompt Engineering Essentials - Shaun Wassell Table of Contents:
- Introduction
- ChatGPT Prompt Engineering Essentials: Introduction
- Lesson 1: Learning the Prompt Engineering Essentials
- Learning objectives
- 1.1 Unpack Prompt Engineering basics
- 1.2 Learn the history of Chatbot evolution
- 1.3 Understand the basics of ChatGPT structure
- 1.4 Learn guidelines for simple prompts
- Lesson 2: Engineering a Prompt
- Learning objectives
- 2.1 Understand the fundamental procedures
- 2.2 Set up an ideal testing ground
- 2.3 Craft a prompt
- Lesson 3: Writing Effective, Simple Prompts
- Learning objectives
- 3.1 Learn transformational tasks
- 3.2 Use the promt engineering cycle to perform transformational tasks
- 3.3 Perform inventive tasks
- 3.4 Learn analytical tasks
- 3.5 Perform step-by-step tasks
- 3.6 Write content-creation tasks
- Lesson 4: Writing Effective, More Advanced Prompts
- Learning objectives
- 4.1 Learn and perform data-analysis tasks
- 4.2 Write simulated scenario tasks
- 4.3 Perform code-generation tasks
- 4.4 Learn multilingual translation tasks
- 4.5 Write instructional tasks
- 4.6 Use suggestion tasks
- Lesson 5: Learning the Advancements in Prompt Engineering Practices
- Learning objectives
- 5.1 Interact with ChatGPT via the API
- 5.2 Automate testing for prompts
- 5.3 Create and share custom GPTs
- Lesson 6: The Future of Generative AI: Interacting with the Real World
- Learning objectives
- 6.1 Use Generative AI to read and edit files
- 6.2 Create images with Generative AI
- 6.3 Perform real-world actions with Generative AI
- Summary
- ChatGPT Prompt Engineering Essentials: Summary
Who is this course for?
- Aspiring prompt engineers for AI applications such as ChatGPT.
- Those who would want to learn how to prompt so as to acquire high productivity in their work.
- All majors and occupations that deal with content creation like education, coding, and translations
- Anyone passionate about the newer generative AI and various tips and tricks.
- Any organization seeking to employ artificial intelligence capacities for such duties as writing and data processing
