We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Learn to code with AI

Per Harald Borgen and Guil Hernandez

Imagine waking up tomorrow as a web developer. What would you want to build?

With AI tools like ChatGPT, you're already a developer, regardless of your experience, if you know how to work with them.

Read more

Imagine waking up tomorrow as a web developer. What would you want to build?

With AI tools like ChatGPT, you're already a developer, regardless of your experience, if you know how to work with them.

So in this course, you'll build functional, interactive front-end projects while learning how to write effective prompts and debug and refine your code with the help of AI.

No coding experience needed! We'll focus on helping you prototype and build projects with AI's assistance, turning you from a non-coder into a capable problem solver.

By the end of this course, you'll have a collection of mini-projects, newly acquired skills, and a solid foundation to keep building with AI.

You'll work on various projects using HTML, CSS, and JavaScript. Let's do this!

Enroll now

What's inside

Syllabus

Build and deploy your first projects with ChatGPT
Learn to build UI components, web pages, web apps, and even a musical instrument using HTML, CSS, and JavaScript! All with the help of AI.
Read more
Build games, mobile apps, and browser extensions
Take your project-building skills to the next level. You'll learn to build a game, a Chrome extension and even a mobile app!
Build database-powered projects
Learn practical skills in using Firebase to build and deploy interactive, database-driven applications efficiently.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
No prerequisite coding experience is required, making this course accessible to complete beginners
With the assistance of AI tools such as ChatGPT, learners prototype and build projects
Interactive projects like games, mobile apps, and browser extensions demonstrate the practical applications of what is being taught
The course prioritizes the development of functional, interactive front-end projects rather than purely theoretical knowledge

Save this course

Save Learn to code with AI to your list so you can find it easily later:
Save

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 Learn to code with AI with these activities:
Brush Up on HTML and CSS Fundamentals
Review basic HTML and CSS concepts to strengthen your foundation before diving deeper into the course.
Browse courses on HTML
Show steps
  • Review online tutorials or documentation on HTML and CSS
  • Practice writing simple HTML and CSS code
  • Test your understanding by building a basic webpage
Create a Resource Compilation
Compile resources that you find useful during the course, such as tutorials, articles, or code snippets.
Browse courses on ChatGPT
Show steps
  • Identify different topics you want to cover
  • Search for relevant resources online
  • Organize resources into folders or use a tool like Evernote
  • Review the resources regularly to reinforce your learning
HTML Coding Practice
Practice writing HTML code regularly to solidify your understanding.
Browse courses on Web Development
Show steps
  • Find a simple HTML tutorial
  • Follow the tutorial and code along
  • Create your own simple HTML page
  • Try to debug and fix any errors
Six other activities
Expand to see all activities and additional details
Show all nine activities
Attend Peer Feedback Sessions
Attend peer feedback sessions to get constructive feedback on your projects and learn from others.
Browse courses on Collaboration
Show steps
  • Organize a peer feedback session with classmates
  • Share your work with others and provide feedback
  • Incorporate feedback into your projects
Learn JavaScript with Guided Tutorials
Follow guided tutorials to supplement your learning and deepen your understanding of JavaScript.
Browse courses on JavaScript
Show steps
  • Identify areas where you need additional practice
  • Find reputable tutorials that cover those specific areas
  • Follow the tutorials step-by-step
  • Try to apply what you've learned to your own projects
Read 'Eloquent JavaScript'
In-depth understanding of JavaScript principles and best practices with 'Eloquent JavaScript'
Show steps
  • Read through the book thoroughly
  • Take notes on key concepts
  • Work through the exercises
Build an Interactive Webpage
Build an interactive webpage from scratch to apply your skills and understanding.
Browse courses on Webpage Creation
Show steps
  • Plan the structure and layout
  • Write the HTML code for the structure
  • Style the webpage using CSS
  • Add interactivity with JavaScript
  • Test and refine your webpage
Contribute to Open Source Projects
Contribute to open source projects to gain practical experience and improve your understanding of real-world development.
Browse courses on Open Source
Show steps
  • Find open source projects that align with your interests
  • Identify areas where you can contribute your skills
  • Submit pull requests or issues to the project
  • Collaborate with other contributors and maintainers
  • Learn from the codebase and best practices of others
Mentor Junior Web Developers
Mentoring junior web developers will reinforce your understanding of concepts and enhance your leadership skills.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor within your community or online
  • Share your knowledge and experience
  • Provide constructive feedback and guidance
  • Learn from the perspectives of others

Career center

Learners who complete Learn to code with AI will develop knowledge and skills that may be useful to these careers:
Web Developer
Web Developers build and maintain websites, and are responsible for everything from coding to design. This course can help you develop skills in coding and user interface design, which are two core pillars of a successful Web Developer.
UI Developer
UI Developers use their skills in design and coding to create user interfaces. This course teaches you about web development and user interface design, providing you with the skills to build UIs which are both visually pleasing and efficient.
Web Designer
Web Designers create a website's visual appearance and user interface. This course teaches you how to handle this process using HTML, CSS, and JavaScript, helping you develop skills in creating an aesthetically pleasing and effective UX.
Mobile Developer
Mobile Developers create and develop mobile applications. This course teaches you how to build mobile apps, games, and browser extensions, useful experience for a Mobile Developer who wants to program functional apps.
Web Administrator
Web Administrators are responsible for managing, configuring, maintaining, and troubleshooting web servers and websites. This course teaches you how to build interactive front-end projects with the help of AI, valuable experience for the job of Web Administrator.
UX Designer
As a UX Designer, you will analyze, plan, and evaluate user experiences to improve a user interface and enhance a website's usability. This course teaches you how to do this using HTML, CSS, and JavaScript, and can help you build a foundation in user interface design so that you can create websites which are pleasant to use.
Information Architect
To ensure that information is accessed by users effectively and efficiently, Information Architects create and organize the structure and design of websites. This course helps you build a foundation in usability and web design, skills which prove incredibly useful for an Information Architect.
Front-End Developer
As a Front-End Developer, your goal is to develop, design, and maintain the user interface of a website. Learn how to do this with the help of AI in this course, which will help you build skills in coding front-end components, web pages, and web apps using HTML, CSS, and JavaScript.
Product Manager
Product Managers create and execute the vision of a product, often coordinating with engineers, developers, and other team members to manage the product's roadmap. This course teaches you practical skills in using Firebase to build and deploy interactive, database-driven applications efficiently, which is a skillset often required of a Product Manager.
Database Administrator
Database Administrators create and maintain databases and ensure their overall effectiveness. This course teaches you how to build interactive, database-driven applications, which may be useful for a Database Administrator who interacts with developers and users to implement database solutions.
Software Engineer
Software Engineers combine computer science principles with software building skills to develop, design, and maintain software. This course introduces you to HTML, CSS, and JavaScript, which are key programming languages for any Software Engineer to know.
Software Tester
Software Testers are responsible for reviewing and testing code for defects and errors. This course can help you build skills in user interface testing, which many Software Testers need to perform their duties.
Quality Assurance Analyst
To ensure that software functions as intended, Quality Assurance Analysts test and review code. This course immerses you in the world of software testing, helping you understand how to identify and resolve system problems.
Technical Writer
Technical Writers create user-friendly materials to help organizations explain how their products function. This course teaches you how to develop writing skills that inform your audience about technical topics, which is perfect for a Technical Writer who works with technical teams to document their work.
Data Analyst
Data Analysts gather, interpret, and present data from a variety of sources to solve problems and aid decision-making. This course teaches you how to analyze data efficiently, which can help you build a solid foundation in data analytics.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learn to code with AI.
Provides a comprehensive overview of artificial intelligence, including topics such as machine learning, natural language processing, and computer vision. It great resource for anyone who wants to learn more about AI and its potential applications.
Provides a comprehensive introduction to machine learning with TensorFlow, a popular open-source machine learning library. It covers the basics of machine learning, as well as more advanced topics such as deep learning.
Provides a comprehensive introduction to natural language processing (NLP) with Python. It covers the basics of NLP, as well as more advanced topics such as machine learning for NLP.
Provides a comprehensive introduction to computer vision with OpenCV, a popular open-source computer vision library. It covers the basics of computer vision, as well as more advanced topics such as object detection and tracking.
Provides a comprehensive introduction to deep learning with Python. It covers the basics of deep learning, as well as more advanced topics such as convolutional neural networks and recurrent neural networks.
Provides a comprehensive introduction to statistical learning, a subfield of machine learning that focuses on the analysis of data. It covers the basics of statistical learning, as well as more advanced topics such as supervised learning and unsupervised learning.
Provides a comprehensive overview of machine learning, including topics such as supervised learning, unsupervised learning, and reinforcement learning. It great resource for anyone who wants to learn more about the fundamentals of machine learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It covers the basics of probability and statistics, as well as more advanced topics such as Bayesian inference and graphical models.
Provides a comprehensive overview of pattern recognition and machine learning, including topics such as supervised learning, unsupervised learning, and reinforcement learning. It great resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a comprehensive overview of deep learning, including topics such as convolutional neural networks, recurrent neural networks, and deep reinforcement learning.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser