Prompt Engineering for Web Developers from Coursera

Not quite getting the results you want from ChatGPT? Wondering how you can use AI language models to your advantage? Then this course is for you!

If you’ve spent any amount of time with AI language models like ChatGPT and Google Bard, you may have noticed the results can sometimes be, well, frustrating.

When it comes to leveraging AI language models, your output is often only as good as your input. In other words, it’s all about learning how best to communicate your desired results. Effective prompt engineering is the secret sauce for getting the most out of AI.

There are plenty of resources on prompt engineering out there, but this course focuses specifically on how you can learn the art and science of effective prompt engineering to get the most out of AI language models and ultimately become a better web developer.

By the end of the course, you'll be an awesome prompt engineer with the skills to transform AI language models like ChatGPT into the ultimate coding assistant and pair programming partner.

You’ll be equipped to leverage AI to plan, learn, generate, debug, document, and explore code better than you ever have before.

And to make sure it sticks, there will be plenty of challenges and suggestions for further learning along the way!

Ready? Let’s engineer some prompts!

What's inside

Syllabus

Prompt Engineering

AI Assisted Coding

Using AI Language Models for Job Search

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces learners to prompt engineering, which is essential for web developers

Taught by experienced instructors Per Harald Borgen and Treasure Porth

Focuses on transforming AI into a valuable assistant for web developers

Develops skills sought after by modern employers

Includes a series of challenges and opportunities for further learning

May require learners to have background knowledge in AI and coding

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Prompt Engineering for Web Developers with these activities:

Recap Python Fundamentals

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Brush up on the basics of Python to prepare for advanced concepts in AI language models.

Browse courses on Python

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Review Python syntax and data structures.
Practice writing simple Python programs.
Complete coding challenges to test your understanding.

Attend AI Language Model Meetups

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Network with industry professionals and stay updated on the latest advancements in AI language models and prompt engineering.

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Find local or virtual meetups focused on AI language models.
Attend events to connect with experts and learn about industry trends.
Share your knowledge and contribute to discussions.

Walkthrough ChatGPT Prompt Engineering

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Follow guided tutorials to explore various prompt engineering techniques for ChatGPT.

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Find tutorials on effective ChatGPT prompting.
Watch videos or read articles on prompt engineering.
Practice crafting prompts based on the provided examples.

Five other activities

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Join a Prompt Engineering Study Group

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Collaborate with peers to share knowledge, exchange ideas, and provide feedback on prompt engineering techniques.

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Find a study group or create your own.
Discuss prompt engineering challenges and solutions.
Review each other's prompts and provide constructive criticism.

Seek Mentorship from Experienced Prompt Engineers

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Connect with experienced professionals in the field who can provide guidance and support in developing your prompt engineering skills.

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Identify potential mentors through networking events or online platforms.
Reach out to potential mentors and express your interest in learning from them.
Establish regular communication and seek their guidance on your prompt engineering journey.

Prompt Engineering Exercises

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Engage in repetitive exercises to refine your skills in constructing effective prompts.

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Identify the desired output for a specific task.
Experiment with different prompt variations.
Analyze the results and make adjustments.

Contribute to Open-Source Prompt Engineering Projects

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Gain practical experience by contributing to open-source projects related to prompt engineering.

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Identify open-source projects in the field of prompt engineering.
Find ways to contribute, such as reporting bugs, suggesting features, or writing documentation.
Collaborate with other contributors to enhance the project.

Build a Prompt Engineering Portfolio

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Showcase your proficiency by creating a portfolio of well-crafted prompts and their corresponding outputs.

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Gather a collection of prompts you've used.
Document the context and desired outcome for each prompt.
Present your portfolio to demonstrate your skills.

Career center

Learners who complete Prompt Engineering for Web Developers will develop knowledge and skills that may be useful to these careers:

Web Developer

A Web Developer designs and builds websites. A course on Prompt Engineering for Web Developers can provide valuable skills like effectively communicating with AI language models, which can ultimately lead to more efficient and effective results in web development.

See salaries and explore the career path for Web Developer

Software Engineer

A Software Engineer designs, develops, and maintains software systems. By learning to use AI language models to plan, learn, generate, and debug code, Software Engineers can potentially enhance their workflow and improve the quality of their code.

See salaries and explore the career path for Software Engineer

Data Analyst

A Data Analyst examines data and identifies insights to help organizations make better decisions. With a solid understanding of prompt engineering, Data Analysts can leverage AI language models to more effectively analyze data and uncover valuable information.

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Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models. A course on Prompt Engineering for Web Developers can be beneficial for Machine Learning Engineers who wish to enhance their skills in effectively communicating with AI language models, which can aid in developing and deploying more efficient and accurate models.

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Technical Writer

A Technical Writer creates and maintains technical documentation for software, hardware, and other technological products. This course can prove helpful for Technical Writers who seek to improve their skills in using AI language models to generate and enhance technical documentation, leading to more efficient and informative documents.

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Product Manager

A Product Manager manages the development and marketing of a product or service. By learning effective prompt engineering techniques, Product Managers can leverage AI language models to better understand user needs and preferences, resulting in more successful product development and marketing strategies.

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UX Designer

A UX Designer focuses on enhancing the user experience of a product or service. A course on Prompt Engineering for Web Developers may be beneficial for UX Designers who wish to explore how AI language models can help them understand user behavior and preferences, leading to more user-friendly and engaging designs.

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AI Engineer

An AI Engineer designs, develops, and maintains AI systems. This course may be useful for AI Engineers who want to enhance their ability to effectively communicate with AI language models. By learning prompt engineering techniques, AI Engineers can improve the efficiency and accuracy of their AI systems.

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Data Scientist

A Data Scientist analyzes data and extracts insights to solve business problems. A course on Prompt Engineering for Web Developers may provide helpful skills for Data Scientists who wish to leverage AI language models to automate data analysis tasks and uncover more valuable insights from data.

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Web Designer

A Web Designer creates the visual appearance and layout of a website.

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Front-End Developer

A Front-End Developer is responsible for the visual and interactive elements of a website. They make sure that the site is user-friendly, responsive, and visually appealing.

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Back-End Developer

A Back-End Developer is responsible for the server-side logic and data management of a website. They make sure that the website is secure, reliable, and scalable.

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DevOps Engineer

A DevOps Engineer is responsible for bridging the gap between development and operations. They make sure that the website is deployed smoothly and efficiently, and that it is constantly monitored and maintained.

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Quality Assurance Analyst

A Quality Assurance Analyst is responsible for testing and validating a website to ensure that it meets the required standards.

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Project Manager

A Project Manager is responsible for planning, executing, and delivering a website project.

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