10 Best Online Prompt Engineering Courses [Free & Paid] with Certificates

Prompt engineering is becoming an increasingly useful skill in the age of generative AI. As large language models (LLMs) like ChatGPT become more integrated into our lives, knowing how to communicate effectively with them can help you make the most of their capabilities.

In this blog post, we'll explore some AI prompt engineering courses, providing a breakdown of their curriculum, cost, duration, and overall value.

But first, what exactly is prompt engineering?

What is Prompt Engineering?

Prompt engineering is the art and science of crafting effective queries for chatbots or large language models (LLMs) to get the best results from Generative AI. In a recent discussion, we explored why prompt engineering remains relevant, even with the rise of more advanced models.

We can't emphasize enough that there is no magic pillar for writing prompts like people would think. Prompt engineering is an iterative process of refining the prompt based on the prompt engineering research, a field of study that focuses on researching and finding new Generative AI (GenAI) prompting techniques.

Why is It Important to Learn Prompt Engineering?

The field of prompt engineering is rapidly evolving, with dozens of research papers being published every month. That's why it's essential to start with the basics and build a strong foundation before diving into more advanced prompting techniques. This knowledge will enable you to quickly understand and apply new techniques as they emerge.

Course Comparison at a Glance

#	Course	Issuer	Cost	Duration	Prerequisites	Curriculum
1	ChatGPT for Everyone	Learn Prompting	Free	1 Hour	None	ChatGPT basics, account setup, prompt creation, use cases, AI safety
2	Introduction to Prompt Engineering	Learn Prompting	$21/month	3 days	None	Fundamentals, prompt crafting, LLM insights, advanced techniques, ethics
3	Advanced Prompt Engineering	Learn Prompting	$21/month	3 days	Basic prompt engineering	Advanced techniques: in-context learning, thought generation, problem decomposition
4	Generative AI: Prompt Engineering Basics	IBM (Coursera)	$59/month	7 hours	None	Prompt engineering concepts, best practices, tools, hands-on labs
5	Prompt Engineering by ASU	Arizona State University	$199	2 hours	None	Generative AI basics, goal setting, prompt building, evaluation, refinement
6	Introduction to ChatGPT	DataCamp	Premium sub	1 hour	None	Interacting with ChatGPT, adopting ChatGPT for business use cases
7	Prompt Engineering for ChatGPT	DavidsonX (edX)	$39	5 weeks	None	AI fundamentals, content creation, decision-making, thought partnership
8	Prompt Engineering for ChatGPT	Vanderbilt University (Coursera)	$59/month	18 hours	Basic computer skills	LLMs, prompt patterns, advanced techniques, real-world applications
9	Complete Prompt Engineering Bootcamp	Udemy	$119.99	19 hours	Python skills	Prompting principles, AI models, real-world projects, advanced techniques
10	Prompt Engineering and Advanced ChatGPT	edX	$40	1 week	None	Advanced techniques, industry applications, NLP & ML integration

1. ChatGPT for Everyone by Learn Prompting and OpenAI

Detail	Value
Issuer	Learn Prompting (taught by Sander Schulhoff & Shyamal Anadkat)
Cost	Free
Certificate	Yes
Duration	Approx. 1 Hour
Prerequisites	None
Curriculum	ChatGPT basics, account setup, prompt creation, use cases, AI safety
Visit Course	ChatGPT for Everyone

This free course from Learn Prompting offers an accessible introduction to ChatGPT and generative AI. Designed for beginners, it guides you through setting up your account, crafting effective prompts, and exploring real-world applications without any prior AI experience.

Overview and Target Audience

This course is ideal for beginners, professionals seeking to enhance productivity, and anyone curious about generative AI. It provides clear, practical instruction that makes complex AI concepts accessible to all.

Curriculum and Topics Covered

The curriculum is divided into five modules:

• Introduction to ChatGPT: Learn what ChatGPT is, how it works, and its potential applications.
• Getting Started: Discover how to set up your account, write your first prompt, and navigate the platform's features.
• ChatGPT Use Cases: Explore practical applications such as writing assistance, brainstorming, and personal tutoring.
• Basics of Prompt Crafting: Understand key techniques for creating effective prompts and tips for optimizing responses.
• AI Safety & Limitations: Gain insights into the responsible use of AI and learn about ChatGPT's limitations.

Issuer and Credibility

Learn Prompting is a trusted authority in prompt engineering. The course is led by Sander Schulhoff, Founder & CEO of Learn Prompting, and Shyamal Anadkat from OpenAI's Applied AI team, ensuring you receive expert, research-backed instruction.

Pros and Cons

Pros:

• Comprehensive, beginner-friendly content.
• Engaging video lessons, interactive quizzes, and practical exercises.
• Expert instruction from industry leaders.
• Flexible, self-paced learning.
• Free access with an optional certification upgrade.

Cons:

• Advanced learners might require additional resources.

Reviews and Testimonials

With over 82,354 learners enrolled and a rating of 4.8 stars from 409 reviews, the course has received high praise for its clear explanations and practical approach, making AI accessible to everyone.

2. Introduction to Prompt Engineering by Learn Prompting

Detail	Value
Issuer	Learn Prompting (Sander Schulhoff & Fady Yanni)
Cost	Some free lessons, full access: $21/month billed annually
Certificate	Yes
Duration	Approx. 3 days
Prerequisites	None
Curriculum	Fundamentals, prompt crafting, LLM insights, advanced techniques, ethics
Visit Course	Introduction to Prompt Engineering

This course from Learn Prompting provides a comprehensive introduction to prompt engineering for AI systems such as ChatGPT, Claude, and Perplexity. It's designed to teach you the fundamentals of crafting effective instructions, combining theoretical insights with hands-on assignments to enhance your practical skills.

Overview and Target Audience

This course aims to equip you with a solid grounding in prompt engineering. It's perfect for beginners, business professionals, educators, and AI enthusiasts who want to understand how to communicate effectively with large language models and optimize AI outputs.

Curriculum and Topics Covered

The curriculum is divided into ten modules:

• Introduction to Prompt Engineering: Introduces the core concepts and the significance of prompt engineering.
• What Makes a Good Prompt?: Explores the characteristics of effective prompts and includes a hands-on assignment.
• Understanding LLMs: Provides insights into the workings, capabilities, and limitations of large language models.
• Solving Complex Problems: Covers techniques for addressing intricate challenges using AI.
• Managing Conflicting Outputs: Offers strategies to handle inconsistencies in AI-generated responses.
• Identifying Hallucinations: Teaches you to recognize and mitigate AI hallucinations.
• Addressing Bias in AI: Focuses on detecting and reducing bias in AI outputs.
• Combining Prompting Techniques: Demonstrates how to integrate multiple strategies for optimal results.
• Risks and Ethical Concerns: Examines ethical considerations and best practices for responsible AI usage.

Issuer and Credibility

Learn Prompting is a respected platform dedicated to demystifying and advancing prompt engineering. The course is led by Sander Schulhoff, a pioneer in prompt engineering, and Fady Yanni, whose operational expertise ensures that the content is both practical and research-driven.

Pros and Cons

Pros:

• Comprehensive, hands-on curriculum with real-world applications.
• Specifically designed for beginners with no prior technical experience required.
• Interactive content including assignments, quizzes, and experiments.
• Taught by industry-leading experts.
• Certification available through the Learn Prompting Plus subscription.

Cons:

• Full access and certification require a subscription upgrade.

Reviews and Testimonials

The course has been embraced by over 48,801 learners and boasts a 4.7-star rating from 43 reviews. Participants praise its clear explanations, engaging video content, and practical approach that transforms theoretical concepts into actionable skills.

3. Advanced Prompt Engineering

Detail	Value
Issuer	Learn Prompting (taught by Sander Schulhoff)
Cost	Some free lessons, full access: $21/month billed annually
Certificate	Yes
Duration	Approx. 3 days
Prerequisites	Basic understanding of prompt engineering recommended
Curriculum	Advanced techniques: in-context learning, thought generation, problem decomposition, and self-criticism prompting
Visit Course	Advanced Prompt Engineering

This course from Learn Prompting dives deep into expert-level prompting techniques for AI models such as GPT-4o, Claude, and Gemini. Designed for those with foundational knowledge in prompt engineering, it combines in-depth theory with interactive assignments and quizzes to help you master advanced strategies for robust AI interactions.

Overview and Target Audience

This course is tailored for individuals who already have a basic grasp of prompt engineering and want to elevate their skills. It is ideal for AI developers, ML enthusiasts, professionals using AI for automation, and AI researchers and engineers aiming to refine their prompt design and problem-solving abilities.

Curriculum and Topics Covered

The curriculum is divided into five modules:

• In-Context Learning: Learn the fundamentals of few-shot prompting, explore key factors influencing performance, and examine Self-Generated In-Context Learning (SG-ICL).
• Thought Generation Prompting: Understand chain-of-thought (CoT) prompting and its variations—including Thread-of-Thought (ThoT), Contrastive Chain-of-Thought (CCoT), Self-Ask (SA), and Tabular Chain-of-Thought (Tab-CoT).
• Problem Decomposition Prompting: Master techniques such as Least-to-Most Prompting (LtM), Plan-and-Solve Prompting (PaS), and Program-of-Thoughts (PoTh) to break down complex challenges.
• Self-Criticism Prompting: Implement methods for self-evaluating AI outputs using strategies like Self-Evaluation (SE), Self-Refine (SR), Chain-of-Verification (COVE), System 2 Attention (S2A), Rephrase and Respond (RaR), and Re-reading Prompting (RE2).

Issuer and Credibility

Learn Prompting is widely recognized as a leading authority in prompt engineering. This course is led by Sander Schulhoff, Founder & CEO of Learn Prompting, whose pioneering work and extensive research have impacted millions of learners and shaped industry best practices.

Pros and Cons

Pros:

• In-depth exploration of advanced prompting techniques.
• Systematic, structured approach to prompt design and refinement.
• Hands-on assignments and interactive exercises for practical learning.
• Taught by a renowned industry expert.
• Certification available through Learn Prompting Plus to enhance your professional profile.

Cons:

• The advanced content may be challenging for absolute beginners.
• Full benefits (including certification and additional resources) require a subscription upgrade.

Reviews and Testimonials

With 36,547 learners enrolled and a 4.8-star rating from 39 reviews, participants commend the clarity of advanced concepts, the systematic approach to complex prompting, and the practical assignments that translate theory into real-world AI problem-solving.

4. Generative AI: Prompt Engineering Basics by IBM (Coursera)

Detail	Value
Issuer	IBM (Coursera)
Cost	Included in Coursera Plus ($59 per month)
Certificate	Yes
Duration	Approx. 7 hours
Prerequisites	None
Curriculum	Prompt engineering concepts, best practices, tools, hands-on labs
Visit Course	Link

This free course from IBM, available on Coursera, provides a solid introduction to the fundamentals of prompt engineering for generative AI models. It's designed for anyone who wants to learn about prompt engineering, regardless of their technical background. The course covers essential concepts, best practices, and tools for crafting effective prompts.

Overview and Target Audience

This course aims to give you a basic understanding of prompt engineering and how it's used in generative AI. It explores how to effectively guide generative AI models to produce the desired results. It's suitable for professionals, executives, students, and anyone interested in using prompt engineering to optimize AI outputs.

Curriculum and Topics Covered

The curriculum is divided into three modules:

• Prompt Engineering for Generative AI: This module introduces the concept of prompt engineering and explains why it's important for controlling what AI models produce. You'll learn how prompt engineering helps you get the results you want from AI and how it can be used in different applications.
• Prompt Engineering: Techniques and Approaches: This module covers different techniques and approaches used in prompt engineering. You'll learn about techniques like zero-shot and few-shot prompting, where you give the AI examples to help it understand your request. You'll also explore different approaches like the Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which are ways to structure your prompts to get more accurate and relevant responses.
• Prompt Engineering: Tools and Best Practices: This module explores some of the tools commonly used in prompt engineering. You'll learn about tools like IBM watsonx Prompt Lab, Spellbook, and Dust, which can help you create and refine your prompts. You'll also learn about best practices for writing effective prompts, which will help you get the most out of AI models.

Issuer and Credibility

IBM is a global technology leader with a lot of experience in AI and cloud computing. The course is developed and taught by experienced instructors from IBM. This makes the course credible and ensures that you're learning from experts in the field.

Pros and Cons

Pros:

• Free and accessible to everyone.
• Provides a solid foundation in prompt engineering concepts.
• Includes hands-on labs for practical experience.
• Developed and taught by experts from IBM.

Cons:

• May not be as comprehensive as some paid certifications.
• Limited coverage of advanced techniques.

Reviews and Testimonials

The course has received positive reviews from participants, who have appreciated the clear explanations, practical examples, and hands-on labs. Many have found the course to be a valuable introduction to prompt engineering and its applications.

5. Prompt Engineering by Arizona State University

Detail	Value
Issuer	School for the Future of Innovation in Society at Arizona State University
Cost	$199
Certificate	Yes
Duration	2 Hours
Prerequisites	None
Curriculum	Introduction to Generative AI, Setting Your Goals With AI, Choosing the Type of Conversation, Building Your Prompt, Evaluating Your AI Outputs, Refining Your Prompts, Doing More With Your Prompting
Visit Course	Link

This course empowers you to unlock the potential of generative AI tools like ChatGPT through a hands-on, practical approach. Designed for learners of all backgrounds, it delivers foundational knowledge and practical skills to boost productivity, creativity, and problem-solving.

Overview and Target Audience

This course is ideal for professionals exploring AI, beginners seeking an accessible introduction, business professionals looking to integrate AI into their workflows, and freelancers or creatives aiming to enhance their content creation and innovation.

Curriculum and Topics Covered

The curriculum is structured into seven modules:

• Introduction to Generative AI:
  Explore the fundamentals of generative AI, including how it works, its applications, and the ethical considerations surrounding its use.
• Setting Your Goals With AI:
  Define personal and professional objectives to guide your AI journey.
• Choosing the Type of Conversation:
  Understand various conversational approaches and learn when to apply each one.
• Building Your Prompt:
  Learn step-by-step techniques to craft effective prompts tailored to specific tasks.
• Evaluating Your AI Outputs:
  Develop methods to assess and improve the quality of AI responses using practical frameworks like RACCCA.
• Refining Your Prompts:
  Fine-tune your prompts for greater accuracy and reliability through iterative testing.
• Doing More With Your Prompting:
  Explore advanced strategies to integrate AI into your workflows and maximize its potential.

Issuer and Credibility

Provided by the School for the Future of Innovation in Society at Arizona State University, this course is backed by robust academic expertise and industry insights. Led by Professor Andrew Maynard, whose extensive experience in AI research and innovation ensures a cutting-edge, practical learning experience, you're learning from one of the top minds in the field.

Pros and Cons

Pros:

• Offers foundational insights into generative AI and prompt engineering.
• Hands-on, practical approach with interactive activities and guided exercises.
• Earn a verifiable certificate and digital badge to boost your professional profile.
• Designed for learners from diverse backgrounds.

Cons:

• The $199 cost may be a barrier compared to free courses.
• The 2-hour duration might not cover advanced topics in depth.

Reviews and Testimonials

Learners have praised this course for its clear explanations, engaging activities, and practical focus. Many appreciate how it effectively introduces generative AI concepts and prompt engineering strategies, making it a valuable resource for both personal and professional development.

6. Introduction to ChatGPT by DataCamp

Detail	Value
Issuer	DataCamp
Cost	Included with Premium or Teams subscription
Certificate	Yes
Duration	1 hour (8 videos, 27 exercises)
Prerequisites	None
Curriculum	Interacting with ChatGPT; Adopting ChatGPT
Visit Course	Link

This course introduces ChatGPT by OpenAI—a conversational language model that has captured global attention. It teaches you how to use ChatGPT effectively, covering best practices for writing prompts and exploring common business use cases such as text summarization, code generation, and content creation.

Overview and Target Audience

The course is designed for anyone interested in harnessing the power of generative AI. Whether you're a content creator, writer, marketer, programmer, customer service representative, or researcher, this beginner-level course provides a clear, accessible introduction to ChatGPT and its capabilities.

Curriculum and Topics Covered

The course is organized into two main chapters:

• Interacting with ChatGPT: Understand ChatGPT's capabilities and limitations, and learn how to write clear prompts that yield high-quality, relevant content.

• Adopting ChatGPT: Explore common business use cases—such as text summarization, drafting marketing content, and generating code—and learn to evaluate when and how to integrate ChatGPT into your workflows. This chapter also covers the legal and ethical considerations of using generative AI.

Issuer and Credibility

DataCamp, a leading provider of data science and AI education, brings you this course. It is taught by James Chapman, Data Science & AI Curriculum Manager, with contributions from industry experts like Amy Peterson. With a strong reputation and positive learner feedback, DataCamp ensures you receive practical and up-to-date instruction in ChatGPT fundamentals.

Pros and Cons

Pros:

• Provides a comprehensive introduction to ChatGPT and its practical applications.
• Covers both technical best practices and business-oriented use cases.
• No prerequisites required—ideal for beginners.
• Interactive content featuring videos and exercises.
• Earn a statement of accomplishment to boost your professional profile.

Cons:

• Access is limited to Premium or Teams subscribers.
• The 1-hour duration may not delve into advanced topics.

Reviews and Testimonials

With a 4.8+ rating from 2,314 reviews, learners praise this course for its clarity, practical approach, and relevance across diverse professional roles. Participants have found the course effective in building the confidence to leverage ChatGPT in real-world scenarios.

7. DavidsonX: Prompt Engineering for ChatGPT (edX)

Detail	Value
Issuer	DavidsonX
Cost	$39
Certificate	Yes
Duration	5 weeks (1–4 hours per week)
Prerequisites	None
Curriculum	Generative AI fundamentals, content creation, decision-making with data, synthesizing information, using ChatGPT as a thought partner
Visit Course	Link

This 5-week course from DavidsonX provides you with a comprehensive toolkit to master generative AI through effective prompt engineering. From content creation to data-driven decision-making, you'll explore how to leverage ChatGPT as a thought partner to enhance creativity, strategic planning, and problem-solving.

Overview and Target Audience

This course is designed for anyone curious about leveraging AI language tools like ChatGPT. It's perfect for content creators, professionals, entrepreneurs, and AI enthusiasts who wish to improve their prompt engineering skills and apply AI to streamline workflows and tackle complex tasks.

Curriculum and Topics Covered

The course is divided into five weeks:

• Introduction to ChatGPT: Understand generative AI fundamentals, ChatGPT's strengths and limitations, and how to use effective prompting.
• Content Creation: Learn how to craft prompts for blogs, emails, social media, and more, specifying context, format, style, tone, and audience.
• Decision-Making with Data: Explore techniques for analyzing and summarizing data, including Chain of Thought and Program Simulation prompting.
• Synthesizing Information: Learn how to generate knowledge, integrate multiple data sources, and refine prompts iteratively.
• ChatGPT as a Thought Partner: Dive into advanced techniques like Role Prompting and learn how to use ChatGPT for brainstorming, strategic planning, and innovation.

Issuer and Credibility

DavidsonX, part of Davidson College, is renowned for offering high-quality courses designed to help professionals and students alike develop new skills in cutting-edge technologies. This course is taught by Sarah Cornett, Founder and CEO of SC Innovate, and leverages her expertise in AI to provide practical and insightful training.

Pros and Cons

Pros:

• Comprehensive 5-week course with interactive content.
• Covers foundational to advanced prompt engineering techniques.
• Flexible, self-paced learning with the option to earn a certificate.
• Practical applications for content creation, data analysis, and strategic planning.

Cons:

• Paid certificate option may not be ideal for those seeking a free course.
• The course may be too introductory for advanced learners.

Reviews and Testimonials

With a 4.4-star rating from 38 reviews, learners appreciate the clear instruction, the diverse use cases covered, and the practical exercises that enable them to apply prompt engineering to real-world challenges. Many find the course to be a valuable resource for both personal and professional AI applications.

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

Detail	Value
Issuer	Vanderbilt University (Coursera)
Cost	Included in Coursera Plus ($59 per month)
Certificate	Yes
Duration	Approx. 18 hours
Prerequisites	Basic computer skills
Curriculum	Introduction to LLMs, prompt patterns, advanced techniques, real-world applications
Visit Course	Link

This certification program from Vanderbilt University, offered on Coursera, is a great place to start if you're looking for a thorough introduction to prompt engineering for ChatGPT. The course is designed for beginners and doesn't require any prior knowledge of AI or programming. It covers a wide range of topics, from the basics of large language models (LLMs) and how to construct prompts to more advanced techniques like chain-of-thought prompting and few-shot learning.

Overview and Target Audience

This certification aims to give learners the skills they need to interact effectively with ChatGPT and other LLMs. It's perfect for anyone who wants to use AI for tasks like writing different kinds of creative text formats, summarizing factual topics, playing games, planning, and even programming. The course emphasizes putting what you learn into practice and gives you hands-on experience through various assignments and projects. This course is particularly helpful for beginners who might find AI intimidating, as it focuses on making these powerful tools accessible and understandable.

Curriculum and Topics Covered

The curriculum is broken down into six modules:

• Introduction to ChatGPT and its Versatility: This module introduces you to what ChatGPT can do and how it can be used in different areas. It helps you understand the potential of this AI tool and how it can be applied in various situations.
• Understanding Large Language Models and Prompts: This module dives into the fundamentals of LLMs, which are the underlying technology behind ChatGPT. You'll learn how these models work and how they respond to the instructions you give them through prompts. This knowledge is crucial for crafting effective prompts and getting the desired output from the AI.
• Writing Basic Prompts: This module teaches you the basics of how to create prompts. You'll learn how to write clear and concise instructions that the AI can understand and follow. This is the foundation for all prompt engineering, and mastering this skill is essential for getting the most out of AI tools.
• Exploring Prompt Patterns: This module introduces you to different types of prompts and how they can be used for different tasks. You'll learn about various patterns and approaches that can help you achieve specific goals with your prompts, such as generating different creative text formats or answering your questions in an informative way.
• Advanced Prompt Engineering and Problem-Solving: This module covers more advanced techniques for prompt engineering. You'll learn about methods like few-shot learning, where you give the AI a few examples to help it understand what you want, and chain-of-thought prompting, where you guide the AI through a reasoning process to solve complex problems.
• Applying Prompt Engineering in Real-World Scenarios: This module explores how you can use prompt engineering in real-world situations. You'll learn how to apply the techniques you've learned to different tasks and challenges, such as writing different kinds of creative content, summarizing factual topics, or even generating ideas for new products or services.

Issuer and Credibility

Vanderbilt University is a well-known private research university with a strong reputation in computer science and engineering. The course is taught by Dr. Jules White, a professor of Computer Science at Vanderbilt and a recognized expert in AI and natural language processing. This combination of a reputable institution and an experienced instructor ensures that the certification is credible and valuable.

Pros and Cons

Pros:

• Comprehensive curriculum covering a wide range of topics.
• Beginner-friendly, requiring no prior knowledge of AI or programming.
• Taught by a recognized expert in the field.
• Practical focus with hands-on assignments and projects.
• Offers a shareable certificate upon completion.
• Self-paced, allowing learners to progress at their own speed.

Cons:

• Requires a paid Coursera subscription.
• Some learners may find the pace a bit slow.

Reviews and Testimonials

The course has received overwhelmingly positive reviews from participants. Learners have praised the clear explanations, engaging content, and practical focus. Many have highlighted the value of the hands-on assignments and projects in solidifying their understanding of prompt engineering.

9. The Complete Prompt Engineering for AI Bootcamp (2025) by Udemy

Detail	Value
Issuer	Udemy
Cost	$119.99
Certificate	Yes
Duration	19 hours
Prerequisites	Python coding skills
Curriculum	Prompting principles, AI models (GPT-4, Midjourney, Stable Diffusion), real-world projects, advanced techniques
Visit Course	Link

This comprehensive bootcamp from Udemy provides a deep dive into prompt engineering for various AI models, including GPT-4, Midjourney, and Stable Diffusion. It is designed for individuals with Python coding skills who want to gain advanced expertise in prompt engineering.

Overview and Target Audience

This bootcamp aims to equip learners with the practical skills to work professionally with AI, including developing and optimizing prompts, managing production AI models, and implementing advanced text and image generation techniques. It is ideal for coders and developers who want to leverage AI in real-world projects.

Curriculum and Topics Covered

The bootcamp covers a wide range of topics, including:

• Five Principles of Prompting: This section introduces the fundamental principles of effective prompt engineering. You'll learn about the key concepts and strategies for crafting prompts that generate the desired output from AI models.
• Major AI Models: This section explores the capabilities and limitations of major AI models like GPT-4, Midjourney, and Stable Diffusion. You'll learn about the strengths and weaknesses of each model and how to choose the right one for your needs.
• Real-World AI Text and Image Generation Projects: This section provides hands-on experience with applying prompt engineering in real-world scenarios. You'll work on projects that involve generating text and images using AI models, giving you practical experience with prompt engineering techniques.
• Advanced Techniques: This section covers advanced prompt engineering techniques, including LangChain, GitHub Copilot, and DALL·E 3. You'll learn about how to use these tools and techniques to optimize your prompts and get even better results from AI models.
• Coding-Focused Techniques: This section explores coding-focused techniques for AI deployment and integrations. You'll learn how to integrate AI models into your own applications and use them to create new and innovative products and services.

Issuer and Credibility

Udemy is a popular online learning platform with a vast library of courses on various topics. This bootcamp is taught by Mike Taylor and James Phoenix, who is also the author of "Prompt Engineering for Generative AI." This ensures that the course is taught by experienced instructors with expertise in prompt engineering. It's also worth noting that this course is one of the most up-to-date prompt engineering courses available, with recent updates on the ChatGPT desktop app and other information.

Pros and Cons

Pros:

• Comprehensive and up-to-date content covering a wide range of AI models and techniques.
• Includes real-world projects and hands-on exercises.
• Taught by experienced instructors with expertise in prompt engineering.
• Offers lifetime access to the course materials.

Cons:

• Requires prior Python coding skills.
• May be challenging for beginners with no coding experience.

Reviews and Testimonials

This bootcamp has been praised for its comprehensive coverage, practical focus, and up-to-date information. Learners have appreciated the real-world projects and the expertise of the instructors.

10. edX: Prompt Engineering and Advanced ChatGPT

Detail	Value
Issuer	edX
Cost	$40
Certificate	Yes
Duration	1 week (1–2 hours per week)
Prerequisites	None
Curriculum	Advanced techniques in ChatGPT, integration with NLP and ML, applications in various industries, limitations of ChatGPT
Visit Course	Link

This 1-week course offered by edX dives deep into advanced techniques for prompting ChatGPT. It covers various applications across industries, including healthcare, finance, and education, and explores how to integrate ChatGPT with other tools like NLP and machine learning to enhance chatbot capabilities.

Overview and Target Audience

Designed for those with an intermediate understanding of AI and chatbot technology, this course is perfect for learners who want to deepen their knowledge of ChatGPT, explore its limitations, and learn how to integrate it into real-world applications. Whether you're working in customer service, healthcare, or finance, or you're simply looking to expand your AI skills, this course will help you master advanced prompting techniques and the integration of ChatGPT into more complex systems.

Curriculum and Topics Covered

The course covers the following key topics:

• Advanced Prompting Techniques for ChatGPT: Learn how to refine prompts to generate more accurate and relevant responses using advanced strategies.

• Applications in Various Industries: Explore how ChatGPT is used in healthcare, finance, education, customer service, and other industries.

• Integration with NLP and Machine Learning: Understand how to integrate ChatGPT with other AI technologies to create powerful chatbot applications.

• Limitations of ChatGPT: Learn about the potential shortcomings of ChatGPT and how to work around them to build robust, effective chatbot applications.

Issuer and Credibility

Offered by edX, this course is developed by Miguel Amigot, CTO at ibleducation.com. With expertise in AI, NLP, and ML, Miguel brings real-world insights into the practical applications and limitations of ChatGPT, making this course a valuable resource for those seeking to leverage AI for practical business applications.

Pros and Cons

Pros:

• Comprehensive coverage of advanced ChatGPT techniques and applications.
• Focus on real-world use cases across various industries.
• Teaches integration with NLP and ML for building more advanced systems.
• Learn how to address and mitigate the limitations of ChatGPT.
• Offers a certificate upon completion for professional development.

Cons:

• The course is archived, meaning no real-time interaction with instructors or updates.
• Limited to 1 week, which may feel rushed for those seeking in-depth exploration.
• Paid certificate option may not be ideal for those only looking for free learning.

Reviews and Testimonials

With a 4.2-star rating from 163 reviews, learners appreciate the depth and practical focus of the course. Many found it particularly useful for understanding how to apply ChatGPT across different sectors and for enhancing their chatbot development skills.

Bonus: Two Free Courses without Certificates

1. Essentials of Prompt Engineering by Amazon Web Services (Coursera)

Detail	Value
Issuer	Amazon Web Services
Cost	Free
Certificate	No
Duration	1 Hour
Prerequisites	None
Curriculum	Fundamentals of prompt crafting, zero-shot prompting, few-shot prompting, chain-of-thought prompting, risk identification
Visit Course	Link

This free course, taught by an AWS Instructor and offered by Amazon Web Services, introduces you to the fundamentals of crafting effective prompts. With a flexible, self-paced format, you'll gain essential insights into how to refine and optimize prompts for a range of use cases while also learning to identify potential risks in prompt design.

2. ChatGPT Prompt Engineering for Developers by DeepLearning.AI (Coursera)

Detail	Value
Issuer	DeepLearning.AI (Coursera)
Cost	Free
Certificate	No
Duration	1 hour
Prerequisites	Basic Python knowledge
Curriculum	Prompt engineering guidelines, iterative prompting, API integration, building a chatbot
Visit Course	Link

This short course from DeepLearning.AI, offered on Coursera, is specifically designed for developers who want to learn how to use prompt engineering with ChatGPT. It provides practical guidelines and best practices for using the ChatGPT API in your applications.

Conclusion

We hope this list will be a helpful resource for you!

Taking online courses is an excellent way to sharpen your prompting skills. But if you're still unsure about diving into this field, we recommend starting with a free course or exploring our comprehensive Prompt Engineering Guide, which you can access anytime you have questions. We regularly update it with the latest techniques and models based on cutting-edge research.

Happy learning!