10 Best ChatGPT Prompt Engineering Courses & Training 2024

I’m sure, by now you’ve come across ChatGPT, the revolutionary language model developed by OpenAI. Since its release in November 2022, it has taken the world by storm. It has set the record for fastest growing user base with over 100 million monthly active users in just over two months. The major reason behind the immense popularity of ChatGPT is its human-like responses and advanced capabilities that are a game changer for individuals and businesses alike. It can fundamentally alter the way we live and work.

You can interact with ChatGPT just as you would with a friend, by typing in prompts, which are questions or statements, and it will respond to the best of its abilities. So, the key to effectively communicating with ChatGPT lies in crafting well-written prompts. The quality of your prompts directly influences the quality of ChatGPT’s responses. This is where prompt engineering comes into play.

What is Prompt Engineering?

Prompt engineering is about crafting and optimizing prompts to harness the full potential of language models like ChatGPT. It extends beyond text-generating models and applies to image-generating models such as such as Midjourney and Stable Diffusion as well. All the AI models produce superior results from high-quality prompts.

One of the primary advantages of prompt engineering is its ability to save time and resources. By writing effective prompts, you can reduce the need to regenerate text multiple times for the same query, streamlining your workflow and minimizing costs. Additionally, prompt engineering enhances the reliability and logical reasoning of large language models, ensuring more accurate and contextually relevant responses.

Now that it’s clear why it’s essential to learn Prompt Engineering to fully realise the capabilities of AI based models, I’ll take you through a range of ChatGPT and Prompt Engineering courses, both free and paid, that will help you harness the power of ChatGPT with mastery and precision. Whether you’re new to ChatGPT or a seasoned user looking to optimize your prompts for the perfect response, there’s a ChatGPT training course for you.

Here’re our top 10 Best ChatGPT Prompt Engineering courses and training classes.

1. Prompt Engineering for ChatGPT by Vanderbilt University (Coursera)

This Coursera Prompt Engineering course aims to equip learners with the knowledge and skills to effectively work with large language models, particularly ChatGPT. It focuses on teaching the art of crafting powerful and effective prompts to get the desired output from ChatGPT. By learning prompt engineering, learners can significantly enhance their productivity and creativity when using large language models in various domains, such as writing, summarization, game play, planning, simulation, and programming. The course not only covers basic prompts but also guides students to create complex prompt-based applications tailored to their specific needs.

Key Learning Objectives

Apply prompt engineering techniques to work effectively with large language models like ChatGPT.
Utilize prompt patterns to access powerful capabilities within large language models.
Create sophisticated prompt-based applications for personal, business, or educational purposes.

Who this Course is for
The course is suitable for a wide range of individuals, including beginners and those with basic computer usage skills. Whether you are a professional seeking to enhance productivity in your job, a business owner looking to leverage AI tools for various tasks, a student exploring AI applications, or someone interested in AI for personal projects, this course caters to diverse needs and skill levels.

Prerequisites
This ChatGPT course does not have strict prerequisites and is designed to be accessible to learners with basic computer usage skills. Familiarity with using a browser and accessing ChatGPT is all that is needed to get started.

Course Syllabus
The course is divided into six weeks, with each week covering specific topics related to prompt engineering for Chat GPT. The content includes video lectures, readings, quizzes, and hands-on examples to reinforce learning. Here’s an overview of the course structure:

Week 1: Course Introduction

Introduction to the course and its objectives
Illustrative examples of building a meal plan, acting as a speech pathologist, and understanding large language models’ randomness

Week 2: Introduction to Prompts

Understanding what prompts are and their significance
Intuition behind prompts and how they can be used for programming
Introduction to prompt patterns, including the Persona Pattern and more

Week 3: Prompt Patterns I

In-depth exploration of various prompt patterns, such as the Question Refinement Pattern, Cognitive Verifier Pattern, Audience Persona Pattern, and Flipped Interaction Pattern

Week 4: Few-Shot Examples

Learning about few-shot examples and how they can be effectively used
Exploring Chain of Thought Prompting, ReAct Prompting, and using large language models for grading

Week 5: Prompt Patterns II

Further examination of prompt patterns, including the Game Play Pattern, Template Pattern, Meta Language Creation Pattern, Recipe Pattern, and Alternative Approaches Pattern

Week 6: Prompt Patterns III

The final week delves into more prompt patterns, such as the Ask for Input Pattern, Combining Patterns, Outline Expansion Pattern, Menu Actions Pattern, Fact Check List Pattern, Tail Generation Pattern, and Semantic Filter Pattern

Instructor
The course is led by Dr. Jules White, an Associate Professor of Computer Science and Electrical Engineering at Vanderbilt University. Dr. White is a top-rated instructor with a rating of 4.93/5 from 254 ratings, highlighting his credibility and expertise in the field.

Pros

Comprehensive Content : The course covers various aspects of prompt engineering, making it suitable for learners at different skill levels.

Practical Application : Hands-on projects and examples allow learners to apply their knowledge and develop prompt engineering skills in real-world scenarios.

Expert Instructor : Dr. Jules White’s credentials and industry expertise provide assurance of receiving top-notch instruction.

Diverse Use Cases : The course demonstrates the versatility of prompt engineering, enabling learners to harness large language models for numerous applications.

Cons

Lack of Advanced Content : Advanced users might find the course focused on introductory and intermediate-level content, leaving some room for more advanced techniques.

Why we chose this Course
The comprehensive syllabus, practical projects, and expert instruction by Dr. Jules White make this Chat GPT course a great choice for beginners and intermediate learners seeking to enhance their prompt engineering skills. Whether you’re a professional, business owner, or student, this course equips you with the ability to use large language models efficiently in various domains, unlocking creativity and productivity in your AI-driven endeavors.

Duration : 18 hours
Rating : 4.9
Sign up here

2. Build Your Own GPT Chatbot With Andrew Ng

This ChatGPT Prompt Engineering for Developers course is a short yet powerful course designed to equip developers with the knowledge and skills required to create new and powerful applications using large language models (LLMs) like ChatGPT. This is a free course offered by DeepLearning.ai in collaboration with OpenAI. It introduces learners to prompt engineering best practices for application development. By using the OpenAI API, participants will learn how to quickly build innovative and valuable applications that were previously challenging or impossible to create.

Key Learning Objectives

Understand how large language models (LLMs) work and how to utilize them to build powerful applications.
Master prompt engineering best practices to effectively use LLMs for a variety of tasks, such as summarization, inference, text transformation, and expansion.
Learn two key principles for writing effective prompts and systematically engineer high-quality prompts.
Gain hands-on experience with prompt engineering through the OpenAI API and Jupyter notebook environment.
Build a custom chatbot and explore its various applications.

Who this Course is for
The Chat GPT course is designed to cater to a wide range of individuals with varying levels of expertise:

Beginners with a basic understanding of Python seeking to explore the world of prompt engineering and LLMs.
Advanced machine learning engineers who want to delve into cutting-edge prompt engineering techniques.
Developers interested in creating powerful applications quickly and efficiently using large language models.

Prerequisites
The course has minimal prerequisites, making it accessible to a broad audience. Basic understanding of Python is helpful to follow along with the course content and hands-on exercises.

Course Syllabus
The course is designed to be concise yet comprehensive, covering the essentials of prompt engineering for developers. Here is an outline of what the course content covers:

Overview of large language models (LLMs) and their potential applications.
Best practices for prompt engineering, with a focus on summarization, inference, text transformation, and expansion tasks.
Understanding two key principles for writing effective prompts.
Step-by-step guidance on building a custom chatbot for various applications.
Hands-on experience with prompt engineering exercises using the OpenAI API and Jupyter notebook environment.
Collaboration with OpenAI, ensuring up-to-date practices and insights into using LLMs effectively.

Instructors

Isa Fulford – A distinguished member of the technical staff at OpenAI, Isa guides learners with clear instruction and practical examples.

Dr. Andrew Ng – A globally recognized leader in AI and machine learning, Dr. Ng is the Founder of DeepLearning.AI and Co-founder of Coursera. He is an adjunct professor at Stanford University, and brings his wealth of knowledge to the course, making it an impactful learning experience.

Pros

Free Course : The course offers valuable content at no cost, making it accessible to a broader audience.

Expert Instructors : The course is led by industry experts, Isa Fulford from OpenAI and Dr. Andrew Ng from DeepLearning.AI, ensuring high-quality instruction and insights.

Practical Application : Learners get hands-on experience with prompt engineering exercises, allowing them to apply the concepts in real-world scenarios.

Cutting-Edge Knowledge : The course reflects the latest best practices for prompt engineering, keeping developers at the forefront of AI advancements.

Cons

Limited Duration : As a short course, some learners might prefer a more in-depth exploration of certain topics related to prompt engineering and LLMs.

Why we chose this Course
This free Prompt Engineering course is an excellent opportunity for developers to master prompt engineering and gain valuable skills to create powerful applications, and build custom chatbots.

Duration : 1 hour
Rating : 4.6
Sign up here

3. ChatGPT Complete Guide: Learn Midjourney, ChatGPT 4 & More (Udemy)

This is an extensive online ChatGPT training course that offers learners a comprehensive understanding of ChatGPT and various AI tools to enhance productivity and creativity. It covers a wide range of topics, from learning ChatGPT fundamentals to advanced AI tools like Midjourney, DALL-E 2 and AI Video tools. The course enables learners to create diverse content and explore new possibilities such as research and code generation using AI technology. It also emphasizes use of effective prompt engineering for better results from ChatGPT.

Key Learning Objectives

Utilize ChatGPT effectively for content creation, synthesizing information, and learning faster with prompt engineering techniques.
Apply ChatGPT to generate fresh ideas, reach new audiences, and scale projects, turning creativity into paid work.
Enhance productivity by managing time, prioritizing tasks, and creating optimized daily schedules with ChatGPT.
Generate targeted content for marketing purposes, including ads, newsletters, and media campaigns, using ChatGPT’s capabilities.
Improve soft skills such as communication, leadership, problem-solving, and social skills with personalized ChatGPT feedback.
Harness AI voice, video, photo, writing, and music tools to create immersive and engaging content.
Develop a visual identity, design logos, and establish a strong online presence using AI tools.
Use prompt engineering to create amazing images that showcase personal style and creativity with Midjourney.
Combine ChatGPT with coding fundamentals for AI code generation, algorithms, debugging, and documentation.

Who this Course is for
This Udemy ChatGPT course is suitable for a wide range of learners, including:

Entrepreneurs looking to leverage AI tools for content creation and business optimization.
Students eager to learn AI technology and its applications.
Professionals seeking to enhance their productivity and creativity using AI.

Prerequisites
The course caters to beginners and does not require any specific technical knowledge or prior experience with AI.

Course Syllabus
The course is structured into 27 sections with a total of 270 lectures and a runtime of approximately 14 hours and 12 minutes. It covers a wide array of topics that include the following:

Basics of ChatGPT and prompt engineering.
Simplifying complex information and prompt engineering techniques.
Content creation, social media, copywriting, and video scripts using ChatGPT.
Utilizing ChatGPT Plugins for learning, research, and job opportunities.
AI coding with ChatGPT for code generation, algorithms, and debugging.
Midjourney for generative art and stylization.
Exploring DALL-E 2 for image creation and manipulation.
Generating AI music for various video projects.
AI Voice tools for text-to-voice and voice cloning.
Using AI video tools for video creation and editing.
AI photo tools for photo enhancement and editing.
AI writing and copy tools for content creation and editing.
Leveraging AI for business, marketing, ideation, and productivity.

Instructors
The course is taught by Julian Melanson, and Benza Maman. Julian is a bestselling Udemy instructor with 4.6 rating and focuses on 10x creativity and productivity with AI tools. Benza is a creative producer with 4.6 rating and an expert in music, mindfulness, and AI integration.

Pros

Comprehensive Coverage : The course covers an extensive range of AI tools, including ChatGPT, Midjourney, DALL-E 2, Zapier, Notion AI, ChatGPT Plugins, extensions and 25 other AI tools, providing learners with a diverse skill set.

Extra Resources : It includes a number of bonus resources, such as cheat sheets, templates, and example prompts.

Regular Updates : The course includes frequent updates, ensuring that learners stay up-to-date with the latest advancements in AI technology.

Lifetime Access : Learners get lifetime access to the course materials, including video lessons, prompt engineering guides, and downloadable assets.

Instructor Interaction : The course offers one-on-one interaction with the instructor in the Q&A section, allowing learners to seek clarifications and guidance.

Cons

Advanced Content : Some sections cover advanced AI topics, which might be overwhelming for absolute beginners without prior exposure to AI.

Limited Hands-on AI Tools : While the course covers a variety of AI tools, learners might benefit from more in-depth practical exercises on each tool.

Why we chose this Course
This course on ChatGPT stands out as an excellent choice for individuals looking to explore and harness the power of AI tools for content creation, productivity, and creativity. Its comprehensive coverage of various AI tools, practical projects, and lifetime access makes it a valuable resource for learners with different backgrounds and interests.

Duration : 14 hours
Rating : 4.6
Sign up here

4. The Complete Prompt Engineering for AI Bootcamp 2024 (Udemy)

The is a very comprehensive Udemy course that equips learners with practical skills for working with AI professionally. The course covers basics of prompt engineering and various AI tools, including ChatGPT, Midjourney, and GitHub Copilot, and their capabilities and limitations. It guides students through 9+ real-world projects to generate new AI products.

Key Learning Objectives

Understand the core principles of prompt engineering and common tips & tricks.
Apply AI tools effectively to complete sophisticated tasks and generate AI products.
Learn the concepts and tools required to run AI reliably in production.

Who this Course is for

Beginners seeking to understand AI practices and technical use cases.
Developers interested in AI to improve reliability in production.

Prerequisites
There are no specific skills or knowledge required. Though, having basic Python skills will be useful for advanced lectures.

Course Syllabus
The course is organized as 17 sections that contain more than a hundred lectures spread over 9 hours of video content. These include the following topics:

Introduction to Prompt Engineering
Five Pillars of Prompting
ChatGPT AI Prompt Pack
ChatGPT Capabilities and Limitations
GitHub Copilot
GPT-3 and GPT-4
Other AI Tools (Google Bard, Meta LLaMA, Anthropic Claude, Microsoft ‘New’ Bing, Tencent ARC, Google Vision, OpenAI Whisper, Falcon)
Tokens, Log Probabilities, and AI Hallucinations
Generating and Refining Lists
Overcoming Token Limits and Meta Prompting
Stable Diffusion
Outpainting, Style Modifiers, Quality Boosters, Negative Prompts, Weighted Terms
Meme Unbundling, Permutations Prompts, Prompt Reverse-Engineering
Advanced Inpainting, ControlNet, Segment Anything, Textual Inversion, Dreambooth
AI Stock Photos, Brand Logo, Product Placement, Tagging Ad Creative, AI Profile Picture
Advanced Tooling for AI Engineering

Instructors

Mike Taylor : A data-driven, technical marketer with expertise in prompt engineering. Co-founder of Vexpower, a startup focused on technical and data-driven marketing.

James Phoenix : A full-stack software developer with specialized skills in data engineering and digital marketing. Co-founder of Vexpower, passionate about educating marketing professionals to become more technical.

Pros

Comprehensive coverage of prompt engineering and AI tools.
Real-world projects for hands-on experience.
Updates to course content for relevance and freshness.
Instructors with practical experience and teaching background.

Cons

Some lessons require Python coding skills, which may be challenging for non-technical learners.
Limited focus on AI applications without coding.

Why we chose this Course
This course is an excellent choice for individuals looking to explore the world of AI and master prompt engineering. With experienced instructors, real-world projects, and a focus on practical skills, this course offers valuable insights into working with cutting-edge AI tools.

Duration : 8 hours
Rating : 4.3
Sign up here

5. ChatGPT Fundamentals (DataCamp)

The ChatGPT Fundamentals skill track on DataCamp introduces learners to the foundational concepts of using ChatGPT. It aims to help students create effective prompts and transform workflows using ChatGPT, with practical exercises and real-life applications.

Key Learning Objectives

Understand the fundamentals of ChatGPT
Learn best practices for writing effective prompts
Master advanced prompt engineering techniques
Apply ChatGPT in real-world business scenarios
Gain hands-on experience through practical exercises and projects

Who This Is For?

Data scientists and AI enthusiasts looking to enhance their understanding of ChatGPT
Professionals aiming to leverage ChatGPT for business innovations
Beginners interested in learning about AI and prompt engineering

Prerequisites
Basic understanding of AI concepts is beneficial but not required to undertake this program. No prior coding experience is necessary.

Courses
This skill track includes two courses and several tutorials and code-alongs. The courses are as follows:

Introduction to ChatGPT

This is a 1 hour course that introduces the fundamentals of ChatGPT, teaching learners how to effectively use and communicate with the AI model. It covers best practices for writing prompts and explores common business use cases for ChatGPT.

Understanding Prompt Engineering

This course delves into the art of prompt engineering, teaching techniques like zero-shot, one-shot, and few-shot learning. It aims to help learners create clear and effective prompts and evaluate the responses of ChatGPT.

Following Tutorials and Code-Along Projects are also included:

Using ChatGPT’s Advanced Data Analysis – This is a practical session combining ChatGPT’s text-writing skills with Python for data analysis and machine learning workflows.
Creating AI Assistants with GPT-4 – In this tutorial, participants can learn to build AI assistants using advanced GPT-4 capabilities.

Instructors

James Chapman: Curriculum Manager at DataCamp
Alex Banks: Founder and Educator, specializing in AI and machine learning

Pros

Comprehensive coverage of ChatGPT and prompt engineering
Hands-on learning with practical exercises and projects
Self-paced courses fit into any schedule

Cons

May be too basic for advanced AI practitioners
Limited to ChatGPT without covering broader AI applications

Why We Chose This
We chose DataCamp’s ChatGPT Fundamentals skill track for its structured and practical approach to learning about ChatGPT. The track provides a solid foundation for beginners while offering advanced techniques for prompt engineering, making it suitable for a wide audience. The hands-on exercises enhance learning and make it a valuable resource for professionals and enthusiasts alike.

Duration : 4-6 hours
Rating : 4.5
Sign up Here

6. ChatGPT Masterclass: A Complete ChatGPT Guide for Beginners (Udemy)

This ChatGPT Masterclass is a comprehensive online course offered on Udemy by The GPT Agency. It provides a detailed guide to utilizing ChatGPT for various purposes, from creating websites and copywriting to programming and email marketing.

Key Learning Objectives

Creating SEO-friendly content, e-commerce descriptions, and sales copies using ChatGPT.
Leveraging ChatGPT for research, podcast scripting, and long-form content creation.
Utilizing ChatGPT for academic purposes, such as coursework and presentation creation.
Building websites, landing pages, and sales funnels with ChatGPT.
Exploring advanced AI models like GPT-4 and Dall-E 2 and their practical applications.
Developing code and apps using the OpenAI API.

Who this Course is for
This Chatgpt class is designed to cater to individuals with varying levels of expertise, from beginners to experts. It is suitable for entrepreneurs, SEO and marketing experts, business leaders, creatives, marketers, programmers, artists, and individuals who want to capitalize on the AI revolution and learn to benefit from the power of ChatGPT.

Prerequisites
The course has no specific prerequisites, making it accessible to anyone willing to learn.

Course Syllabus
The course consists of 11 sections and 59 lectures, with a total duration of approximately 10 hours. The syllabus includes essential topics such as

ChatGPT setup and best practices
RELIC framework for Prompt Engineering
ChatGPT for SEO
ChatGPT for E-commerce and Sales
ChatGPT for Long-Form Content
Using the OpenAI API
ChatGPT for Programmers
ChatGPT for Artists
Advanced programming with ChatGPT for Java developers
Ethical Considerations

Instructor
The course is led by Lance Junck, an experienced ChatGPT instructor and e-commerce consultant. With a 4.5 Instructor Rating, over 6,700 reviews, and more than 47,000 students, Lance brings significant expertise to the table.

Pros

Comprehensive Coverage : The course covers a wide array of use cases, from content creation to advanced programming, making it a valuable resource for individuals with diverse interests and goals.

Hands-On Projects : Learners get the opportunity to apply their knowledge through hands-on projects and assignments, which enhances the learning experience and reinforces practical skills.

Instructor Credibility : Lance Junck’s impressive instructor rating and industry experience add credibility to the course content and instruction.

Cons

Advanced Programming Focus : While the course’s comprehensive nature is a strength, it might not be suitable for absolute beginners in programming, as some sections delve into advanced Java topics.

Why we chose this Course
This Chat GPT training course is a great pick for individuals seeking a versatile and in-depth understanding of ChatGPT and its applications. Its wide-ranging coverage of prompt engineering, copywriting, programming, and more caters to various interests and career paths. The exercises and practical tips offered throughout the course ensure learners can apply their knowledge effectively.

Duration : 10 hours
Rating : 4.5
Sign up here

7. LearnPrompting – Free Guide for GPT Prompt Engineering

Learn Prompting is a free online course for learning prompt engineering. It is a very comprehensive resource and provides valuable insights into the world of AI-powered communication. It caters to learners of all levels, from beginners to experienced developers. This self-paced, text-based course covers a wide range of topics, from the fundamentals to more advanced techniques and tools, such as calibration and prompt tuning.

Key Learning Objectives

Understand the fundamentals of prompt engineering and how to effectively communicate with AI systems.
Explore various applications of prompt engineering across different industries.
Learn how to integrate prompt engineering with other tools, such as natural language processing (NLP) and machine learning (ML).
Develop a deep understanding of the limitations of AI systems and how to work around them to build robust and effective applications.
Acquire practical skills in prompt engineering and apply them to real-world projects and applications.

Who this Course is for
Learn Prompting is tailored to both beginners and experienced developers. It is free of excessive jargon and hype, and provides a comprehensive and unbiased learning experience. The course is cited by Wikipedia and is used by individuals at prominent companies like O’REILLY, Scale AI, and OpenAI.

Prerequisites
There are no specific requirements as the course is designed to be accessible to learners at all levels.

Course Syllabus
This Prompt Engineering guide is organized into several chapters that include:

Basics: Introduction to prompt engineering and fundamental techniques.
Basic Applications: Simple, practical applications of prompt engineering.
Intermediate: Research-based prompt engineering techniques with moderate complexity.
Applied Prompting: Comprehensive process walkthroughs contributed by community members.
Advanced Applications: Powerful and more complex applications of prompt engineering.
Reliability: Enhancing the reliability of large language models (LLMs).
Image Prompting: Prompt engineering for text-to-image models like DALLE and Stable Diffusion.
Prompt Hacking: Exploring prompt engineering creatively.
Tooling: Review of various prompt engineering tools and IDEs.
Prompt Tuning: Refining prompts using gradient-based techniques.
Miscellaneous: Additional topics and techniques related to prompt engineering.

Instructors
The Learn Prompting course is open-source and built by a diverse community of researchers, translators, and hobbyists.

Pros

The course is self-paced and accessible to learners from various industries and backgrounds.
With over 60 content modules and support for nine languages, the course caters to learners globally.
Learn Prompting provides practical and applied techniques that learners can immediately incorporate into their projects and applications.
The community-driven approach allows learners to interact and learn from each other, creating a collaborative learning environment.
The course is free and open-source, making it accessible to everyone without any financial barriers.

Cons

The lack of video-based content might not cater to learners who prefer visual and interactive learning methods.

Why we chose this Course
We chose this course due to its comprehensive, accessible, and practical approach. It covers a wide range of topics with clear examples and focuses on applied techniques. A supportive and active community is another added advantage of the course.

Duration : Self-Paced
Rating : 4.6
Sign up here

8. Prompt Engineering Guide by DAIR.AI

This Prompt Engineering training guide has been created by DAIR.AI and serves as an excellent resource to learn how to use prompts to interact with and instruct LLMs. It covers various topics, from prompting techniques to usage of language models in various applications. All examples presented in this guide are tested with text-davinci-003 using OpenAI’s playground, but the principles behind those can be used in any LLM.

Key Learning Objectives

Understand the fundamentals of prompts.
Learn advanced prompt engineering techniques and their advantages and disadvantages.
Improve the logical and arithmetical reasoning of any LLM through well-crafted prompts.
Gain a general understanding of the landscape of LLMs, including their potential for misuse.

Who this Course is for
This guide is suitable for anyone with an interest in learning AI prompt engineering skills, both beginners and experienced learners.

Prerequisites
There are no specific prerequisites for using it.

Course Syllabus
The learning material in this guide is structured into five chapters covering various aspects of prompt engineering:

Introduction : LLM Settings, Basics of Prompting, Prompt Elements, General Tips for Designing Prompts, Examples of Prompts.

Techniques : Zero-shot Prompting, Few-shot Prompting, Chain-of-Thought Prompting, Self-Consistency, Generate Knowledge Prompting, Tree of Thoughts, Retrieval Augmented Generation, Automatic Reasoning and Tool-use, Automatic Prompt Engineer, Active-Prompt, Directional Stimulus Prompting, ReAct, Multimodal CoT, Graph Prompting.

Applications : Program-Aided Language Models, Generating Data, Generating Code, Graduate Job Classification Case Study, Prompt Function.

Models : Flan, ChatGPT, LLaMA, GPT-4, LLM Collection.

Risks & Misuses : Adversarial Prompting, Factuality, Biases.

Instructors
The course is provided by DAIR.AI.

Pros

Comprehensive and free resource for prompt engineering skills.
Covers a wide range of prompt engineering topics.
Provides access to the latest papers, models, lectures, and references related to prompt engineering.
Valuable insights for researchers and practitioners seeking to optimize prompts for language models.

Cons

Some technical concepts may be challenging for beginners without a computer science or engineering background.

Why we chose this Course
This guide is a great resource because of its comprehensive coverage of prompt engineering topics and its practical approach.

Duration : Self-Paced
Rating : 4.5
Sign up here

9. Introduction to Prompt Engineering for Generative AI (LinkedIn Learning)

This is a beginner-level AI Prompt engineering course that provides learners with insights into Natural Language Processing (NLP) capabilities and modern NLP APIs. It explores various aspects of text generation and introduces learners to large language models, such as Chat GPT, GPT-3, and J1 with few-shot learning. Additionally, the course delves into AI-generated image landscape, and covers advanced concepts like prompt fine-tuning and API interaction.

Key Learning Objectives

Prompt engineering training and its relevance in generative AI.
Exploring large language models, including Chat GPT, GPT-3, and J1 with few-shot learning.
Practical application of AI-generated image techniques using Dall-E and Midjourney.
Fine-tuning prompts to achieve desired outcomes in text generation.
Interacting with language models through APIs for seamless integration into applications.

Who this Course is for
The course caters to two main audiences:

Beginners with an interest in Natural Language Processing (NLP) and its capabilities.
Developers who want to delve into modern NLP APIs and explore generative AI techniques for text and image generation.

Prerequisites
No prior knowledge or experience in NLP is required to take this course. However, basic familiarity with programming concepts would be beneficial.

Course Syllabus
The course has a duration of 44 minutes and is divided into the following sections:

NLP Revolution
What is prompt engineering?
Tokens vs. words
Large language models
ChatGPT
Zero-shot, Few shot learning
AI-generated images with Dall-E and Midjourney
Fine-tuning your prompts
Interacting with language models using an API
Using AI responsibly

Instructor
The course is led by Ronnie Sheer, a seasoned full-stack developer with a focus on scalable services using Python and Javascript.

Pros

Suitable for Beginners : The course is well-suited for individuals with little or no prior knowledge of NLP, making it a great starting point for beginners looking to explore the field.

Experienced Instructor : Ronnie Sheer’s expertise as a Senior AI Engineer ensures learners receive valuable insights from an industry professional.

Practical Challenges : Hands-on exercises and practical challenges are included to aid learners in solidifying their learning.

Sharable Certificate : Learners get a certificate upon course completion that they can use to showcase the knowledge gained.

Cons

Limited Duration : The course has a relatively short duration of 44 minutes, which might not provide an in-depth exploration of some complex topics. So they may need to supplement their learning with additional resources.

Why we chose this Course
This Chat GPT class is a valuable resource for individuals new to NLP and generative AI. Ronnie Sheer’s clear and concise explanations help learners grasp prompt engineering and large language models fundamentals easily and quickly.

Duration : 44 minutes
Rating : 4.5
Sign up here

10. Prompt Engineering and Advanced ChatGPT (edX)

This is an intermediate-level course offered on edX, focusing on advanced techniques for leveraging ChatGPT. It aims to empower learners with the skills to prompt ChatGPT effectively, explore diverse applications across various industries, integrate it with other tools like natural language processing (NLP) and machine learning (ML), and address its limitations.

Key Learning Objectives

Mastery of Advanced Prompt Techniques : Students learn advanced methods for prompting ChatGPT, enabling it to generate responses that are more accurate, relevant, and engaging.

Application of ChatGPT in Different Industries : Exploration of ChatGPT’s applications in different industries highlighting its versatility and potential use cases.

Integration with NLP and ML : Understanding how to integrate ChatGPT with NLP and ML tools to create more sophisticated chatbot applications.

Addressing Limitations : Gaining insights into ChatGPT’s limitations and strategies to work around them.

Who this Course is for
This course targets individuals who have a basic understanding of ChatGPT and want to explore its advanced applications, prompt engineering techniques, and integration with NLP and ML. Professionals in healthcare, finance, education, customer service, and related domains find this course particularly beneficial.

Prerequisites
Basic understanding of AI and chatbot concepts.

Course Syllabus
The course spans over 1 week, with an estimated commitment of 1-2 hours per week. It is self-paced, allowing learners to progress according to their convenience. The course syllabus includes the following topics:

Understanding advanced prompting techniques for ChatGPT, leveraging NLP and ML.
Exploring ChatGPT’s applications in diverse industries like healthcare, finance, education, and customer service.
Integrating ChatGPT with other tools to create advanced chatbot applications.
Addressing ChatGPT’s limitations and developing strategies to overcome them for robust application development.

Instructor
The course is led by Miguel Amigot, the Chief Technology Officer at ibleducation.com, an AI-driven education company building on ChatGPT and OpenAI. Miguel is a computer scientist and electrical engineer based in New York City, known for his expertise in AI-driven educational technologies.

Pros

Real-World Applications : The course focuses on advanced techniques and real-world applications of ChatGPT.

Expert Instructor : Instructor Miguel Amigot emphasizes live demos and active learning to deliver a comprehensive learning experience.

Free Course with option to Upgrade : This is a self-paced course available for free with an upgrade option that adds access to assessments and a certificate of completion.

Cons

Intermediate Level : The course targets learners with intermediate-level knowledge, which might not be suitable for complete beginners without any prior exposure to chatbot development and AI concepts.

Why we chose this Course:
The course offers practical insights and integration strategies, that greatly help learners to develop sophisticated applications in various industries.

Duration : 1-2 hours
Rating : 4.5
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11. The Business Toolkit: Prompt Engineering with ChatGPT (Udemy)

This is an engaging course that focuses on mastering prompt engineering with OpenAI’s revolutionary ChatGPT model. The course aims to equip learners, both technical and non-technical, with the skills to effectively communicate with AI, boosting productivity and transforming business processes. With a playful yet professional approach, this course empowers learners to become expert prompt engineers.

Key Learning Objectives

Set up a ChatGPT account and navigate the user interface effectively.
Master core prompting techniques, including Q&A, information extraction, and text summarization.
Enhance ChatGPT’s reasoning abilities using Chain of Thought Prompting.
Apply advanced prompt engineering principles for better AI communication.
Utilize ChatGPT for writing, editing, research, data analysis, and more.

Who this Course is for
The course caters to a diverse audience, including business owners, working professionals, entrepreneurs, developers, and tech enthusiasts.

Prerequisites
No specific prerequisites are required to take this course.

Course Syllabus
The course is structured into seven sections with 40 lectures, spanning a total length of 2 hours and 19 minutes. It covers a wide range of topics, starting with the basics of prompt engineering and ChatGPT account setup. It then progresses to cover core prompting techniques, advanced prompting techniques, and applications of ChatGPT for writing, editing, research, and data analysis. The course concludes with a section on ChatGPT code interpretation.

Instructor
The course is led by Jacob Coccari, an experienced professional with a B.S. in Business Administration from UC Berkeley’s Haas School of Business. With expertise in media, management consulting, and marketing analytics, Jacob aims to teach the foundations of business and business analytics to learners.

Pros

The course offers a comprehensive coverage of prompt engineering techniques and real-world applications, making it suitable for various business domains.
The course is full of practical examples.
The course adopts a playful teaching style, keeping learners engaged and motivated throughout the learning journey.
The course is accessible to learners with different technical backgrounds, catering to both beginners and experienced professionals.

Cons

While the course provides a solid foundation in prompt engineering, it may lack in-depth coverage of advanced AI concepts.
The course primarily revolves around OpenAI’s ChatGPT model, which may limit exposure to other AI models and frameworks.

Why we chose this Course
This is a practical course with engaging approach, hands-on examples, and versatile applications. It is suitable for anyone interested in prompt engineering for business purposes.

Duration : 2 hours
Rating : 4.5
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Bonus Courses

12. Learn ChatGPT & Prompt Engineering on Udemy

Udemy is a powerhouse for skill development. It offers an extensive range of courses on topics related to Generative AI and Prompt Engineering. Whether you want to learn about ChatGPT, DALL-E, Midjourney, Productivity apps, or more, you can easily find high-quality video courses delivered by industry experts. One of the main advantages of Udemy is its flexibility, allowing you to learn Chatgpt courses how and when you prefer.

13. OpenAI Prompt Engineering Guide

This is as an essential complement to the prompt engineering courses. While not a course itself, it is a valuable tool that serves as an up-to-date resource, providing guides and the latest research papers to optimize prompts effectively. You’ll learn best practices for prompt engineering with OpenAI API, including prompt format and examples.

14. Online ChatGPT Classes on LinkedIn Learning

LinkedIn Learning is a valuable platform offering a wide array of expert led courses on Prompt engineering and Chat GPT. These are mostly short and concise classes that can easily fit in your learning routine. It offers 30-day free trial during which you get access to full catalog of courses.

15. Prompt Engineering & ChatGPT Online Training Courses on Skillshare

Skillshare is a vibrant online learning community boasting thousands of classes covering diverse topics. It has several hands-on Chat GPT courses taught by experts in the field of AI. You can take Skillshare membership to gain unrestricted access to their entire catalog and learn at your convenience and pace. You also have the option of trying some classes for free.

16. Learn Chat GPT and Engineer Prompts for Business

This DataCamp course on Chat GPT spans one hour, and features 8 instructional videos with 27 practical exercises. It delves into best practices for crafting prompts, ensuring the generation of high-quality and relevant content by ChatGPT. Additionally, you’ll explore practical business applications, including text summarization, explaining complex concepts, crafting marketing content, and generating code explanations.

17. Prompt Engineering Courses on edX

edX is a renowned online learning platform that offers a good selection of courses on Chatgpt and prompt engineering. You can audit the courses for free. There is a paid upgrade available that allows you access to graded-assignments and a certificate of course completion.

18. Intro to ChatGPT on Codecademy

This ChatGPT course covers essential topics such as generative AI, effective prompt writing, and text summarization. You’ll explore ChatGPT’s real-world applications in various industries and understand the ethical considerations and limitations surrounding AI. During the course you’ll also engage in a practical project to apply ChatGPT effectively to your specific use case.

19. GPT Prompt Engineering Mastery Series on YouTube

H-EDUCATE’s Prompt Engineering Mastery Series is a comprehensive video course available on Youtube. It teaches learners all the ins and outs of prompt engineering. This course has already amassed over a million views and comprises of several well-structured videos, each designed to give learners a deep understanding of prompt engineering techniques using ChatGPT. What makes this Prompt Engineer video course most appealing to us is that it’s not a static resource. Over time, more videos will be added, which will help learners expand their knowledge base further.

FAQs

What does a Prompt Engineer do?

A Prompt Engineer is responsible for creating and refining prompts for language models like ChatGPT. Their main task is to design clear and effective instructions that guide the AI system’s responses. By crafting well-structured prompts, they can influence the output and ensure the model generates more accurate and relevant results.

Does prompt engineering require coding?

No, prompt engineering does not necessarily require coding. However, having some coding skills can be helpful, especially if you want to automate tasks or experiment with different techniques. There are many tools and platforms that allow you to create and test prompts without writing any code.

Are there tools available to assist with Prompt Engineering?

Yes, there are several tools available that assist you with prompt engineering. Many AI platforms and language model APIs provide user-friendly interfaces that come with built-in features to help refine and customize prompts. OpenAI Playground is one such example.

Are prompt engineers in demand?

Yes, Prompt Engineers are in high demand. The increasing adoption of AI language models in various industries and applications has fuelled this demand. And it will continue to grow as AI technologies become more pervasive in business, customer service, content generation, and other fields.

How do I fine-tune a language model using prompts?

Fine-tuning a language model using prompts typically involves a process of iteratively training the model on specific data with desired outputs. It can be computationally intensive.

Can prompt engineering be applied to other AI models apart from ChatGPT?

Yes, prompt engineering can be applied to other AI models apart from ChatGPT. Prompt engineering is a general concept that involves designing clear and effective instructions for AI language models, and it is not limited to any specific model. Many AI language models, such as GPT-2, BERT, XLNet, T5, and others, can benefit from prompt engineering techniques.

How can businesses integrate ChatGPT with their existing systems?

Integration of ChatGPT with existing business systems can be achieved through the use of OpenAI’s API.

Give a real-world example of prompt engineering role

A real-world example of a prompt engineering role can be found in the development of a virtual assistant for a customer support system. In this scenario, the prompt engineer’s responsibility would be to design and optimize the prompts given by users seeking assistance. The engineer would craft clear and effective instructions for the AI language model to understand and respond to customer queries accurately.

How do I know if prompt engineering is for me?

Whether prompt engineering is the right fit for you depends on your interests, skills, and career aspirations. Your passion for AI, language models, and the desire to influence the behavior of AI systems play a significant role. To gain more clarity, consider exploring online resources, taking courses, or participating in AI-related projects to get hands-on experience with prompt engineering tasks.

What skills are required to become a prompt engineer?

To become a prompt engineer, you require a combination of technical skills, language proficiency, and problem-solving abilities. There are a number of resources available to help you learn the necessary skills. Additionally, it is helpful to have experience working with language models.

Are there free online courses to learn ChatGPT and Prompt Engineering?

Yes, there are a number of free Chat GPT courses and tutorials that you can take online. Several of them are listed above in this article. Take a pick based on your current skill level and preference.

How much time is required to complete ChatGPT online courses?

The time required to complete an online course can vary significantly based on the course’s content, depth, and your individual pace of learning. Shorter Chat GPT courses, such as introductory tutorials or workshops, may take a few hours to complete, while more in-depth courses that cover prompt engineering, fine-tuning, and practical applications could span several days or weeks.

Will I get a certificate on completing a course?

Whether you receive a certificate upon completing an online ChatGPT training course depends on the specific course and the platform or institution offering it. Paid courses are more likely to offer certificates of completion as an incentive for learners. Free courses may or may not provide certificates.

How we chose Best ChatGPT & Prompt Engineering Courses

We follow a thorough process for choosing and evaluating courses on our website. There are several factors we have considered for selecting and assessing the ChatGPT and Prompt Engineering courses featured above. Read here for a detailed look at our Course Selection Criteria.