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BUILD AI WEB APPLICATIONS COURSE

Learn the skills to design, develop, and deploy intelligent, data-driven web applications that leverage modern AI technologies. Our Build AI Web Applications Course gives you the skills, hands-on practice, and creative and technical confidence to bridge web development expertise with AI implementation to build responsive interfaces that connect to powerful AI APIs, run machine learning models in the browser, and deploy production-ready intelligent applications.  

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Learn in-demand skills to thrive in the AI era. Tell us a little about you and we’ll get in touch with more info.

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Residents of Alabama, Connecticut, Kentucky, Nebraska, New York, Oklahoma, District of Columbia, Wisconsin, and Wyoming are not eligible to enroll in this program.

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Want to learn more? Get answers to common questions and discover what makes learning with GA different. 

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OUR LEARNERS WORK AT TOP COMPANIES ACROSS THE GLOBE

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PURCHASING MADE EASY

The total cost of this course is $2,950.

Discounts available for those who qualify.

Divide tuition into two, three, or four easy payments while in school.

As low as $712.50.

Apply for a 0% interest loan from Climb Credit

Pay zero interest on manageable payments over 9 months with the 0% Interest Loan.

Loan approval subject to eligibility.

Apply for a loan from Climb Credit.

Begin repaying immediately, or choose an interest-only option.

Get an interest rate from 6.5–15%, with a Climb loan term from 2–5 years or an interest rate ranging 6.99 – 17.99% APR.

Loan approval subject to eligibility. Loan terms displayed are effective as of 1/1/2026.

Show off your new skills

Complete your course, get your badge, and add it to your LinkedIn profile to showcase your new skills to your network.
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Who’s this for?

This course is for web developers, software engineers, tech professionals, and product builders, entrepreneurs, and others seeking to expand into AI-powered development and who want:

  • Hands-on experience with AI tools applied to real web application scenarios
  • Learning with structure, community, and live instruction
  • Skills you can apply immediately to current projects

TECHNICAL SETUP

 

  • Laptop with administrator access
  • 13"+ screen, 8GB RAM, and 40GB free storage
  • Stable internet with dual-monitor setup and webcam for online sessions
  • Full technical setup guide and support provided after enrollment

RECOMMENDED EXPERIENCE

 

This is an intermediate-level course best for those with:

  • Basic web development experience
  • Familiarity working with JavaScript, navigating file systems, and using development tools like VS Code and GitHub
  • Curiosity about how artificial intelligence enhances modern web experiences and a willingness to experiment with new frameworks and APIs

No prior experience with AI or machine learning is required.

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BRING YOUR OWN AI 

This course works with any major AI platform. Use your existing account or free tiers from: OpenAI ChatGPT, Google Gemini, Anthropic Claude, Microsoft Copilot, or Perplexity. No premium subscriptions required—learn with the tools you already have.

Course Agenda

  • Explore how AI augments modern web applications and configure development environments for AI integration
  • Learn fundamental AI and machine learning concepts, understand web app architecture for AI implementation, set up Node.js, Next.js, and OpenAI SDK, and examine ethical and responsible AI use principles
  • Build dynamic user interfaces and connect them to AI-powered APIs
  • Create interactive front-end components in Next.js, handle API requests and middleware, render AI-generated outputs in real time, and design accessible, responsive interfaces that showcase AI capabilities
  • Integrate pre-trained models, implement ML logic, and optimize performance for client-side AI
  • Use TensorFlow.js and pre-trained models, run ML in-browser for low-latency prediction, build and deploy data pipelines, and test and debug AI-driven features
  • Finalize, deploy, and present AI-powered projects
  • Deploy applications to Vercel, Render, or AWS, monitor performance and log model calls, design ethical user experiences for AI, and complete a capstone project demonstrating a fully functional AI-powered web application

WHAT MAKES THIS PROGRAM DIFFERENT 

✓ Live cohort learning: Learn with a structured group of professionals who share your goals. Get real-time answers from expert instructors during live sessions.

✓ Comprehensive skill stack: Master the complete AI integration workflow—from connecting to powerful APIs like OpenAI and Hugging Face to running machine learning in the browser and deploying production-ready applications—developing both the technical expertise and ethical understanding to build AI-powered experiences aligned with real-world development practices.

✓ Hands-on practice: Learn through 17 hands-on lab hours with projects designed to help you build the practical skills to design, develop, and deploy intelligent web applications that leverage modern AI technologies.

✓ Workplace-relevant application: Learn to integrate AI services, build intelligent front-end interfaces, implement browser-based machine learning, and deploy production-ready applications—focusing on practical skills, ethical practices, and real-world workflows rather than theoretical ML concepts you won't use.

AI IS CHANGING WORK—WE HELP YOU STAY AHEAD 

  • $2.94b

    The global AI apps market was estimated at $2.94 billion in 2024 and is projected to reach $26.36 billion by 2030

    (Source: Grand View Research)

  • 84%

    84% of developers are using or planning to use AI tools in their development process

    (Source: 2025 Developer Survey)

  • 46%

    46% of developers don't trust the accuracy of AI output—highlighting the need for skills in testing and validating AI features

    (Source: ITPro)

KEY TAKEAWAYS  

You'll leave this course with these AI web development skills:

INTEGRATE AI SERVICES AND APIS INTO WEB APPLICATIONS

You'll develop expertise in connecting web applications to powerful AI services including OpenAI and Hugging Face APIs. Learn to configure development environments, handle API requests and middleware, render AI-generated content in real time, and build the architectural foundation for intelligent, data-driven applications.

IMPLEMENT MACHINE LEARNING IN THE BROWSER WITH TENSORFLOW.JS

You'll gain practical experience running ML models directly in the browser for low-latency predictions without server round-trips. Master TensorFlow.js and pre-trained models, build data ingestion and visualization tools, create AI-driven personalization and chatbot features, and test model outputs for bias and accuracy.

DEPLOY PRODUCTION-READY AI WEB APPLICATIONS

You'll learn to take AI-powered applications from development to production using modern deployment platforms like Vercel, Render, and AWS. Develop skills in performance monitoring, API usage optimization, cost-efficient development practices, and ethical AI user experience design—culminating in a deployed capstone application that demonstrates professional AI web development capabilities.

INSTRUCTORS WITH REAL-WORLD CRED

Learn from real-world AI web application pros who bring hands-on experience straight from the field to the classroom. Every GA instructor is committed to giving the personalized feedback and support you need to crush your goals every step of the way.
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THE WORD FROM GA GRADS

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“Getting exposure and time with our instructor and classmates meant we could get to know other industries and how they approach marketing problems. This course gave me the confidence in my decision to move to marketing.”
Kiki Tolentino

GA grad, Digital Marketing Short Course

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GET MORE INFO

Learning AI skills is no longer optional. Tell us a little about you—and we’ll get in touch with more info.

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Let’s Chat

Need to speak with someone directly?
Our admissions team is here to help.

North America
+1 844 969 4669
UK
+44 20 3991 6088
Singapore
+65 6018 7933
Australia
+61 1800 845 068

QUESTIONS? WE'VE GOT ANSWERS.

AI is reshaping every role and every industry, and learning AI skills to enhance your role is no longer optional. General Assembly's Build AI Web Applications is live, cohort-based training that equips learners with the practical skills to design, develop, and deploy intelligent, data-driven web applications that leverage modern AI technologies. In 32 hours, you’ll master the complete workflow of integrating AI services into full-stack web applications.
Yes. When you pass this course, you’ll receive a LinkedIn-verified digital badge. Thousands of GA alumni around the world use their course badge to demonstrate their skills to their LinkedIn networks, potential employers, and more. Our courses are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.

Our Build AI Web Applications Course is designed for web developers, software engineers, tech professionals, and product builders, entrepreneurs, and others seeking to expand into AI-powered development. Student backgrounds include:

  • Front-end, full-stack, and JavaScript developers wanting to integrate AI into existing applications
  • Engineers wanting hands-on experience with OpenAI, Hugging Face, and TensorFlow.js
  • Technical leads evaluating AI integration approaches for their teams
  • Professionals preparing for the shift toward AI-enhanced development workflow

This is an intermediate-level course designed for those with basic web development experience. Learners should be comfortable working with JavaScript, navigating file systems, and using development tools like VS Code and GitHub. A curiosity about how artificial intelligence enhances modern web experiences—and a willingness to experiment with new frameworks and APIs—will help learners get the most out of the course. No prior experience with AI or machine learning is required.

Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.

General Assembly's Build AI Web Applications is live, cohort-based training that equips learners with the skills to design, develop, and deploy intelligent, data-driven web applications that leverage modern AI technologies. The course teaches industry-standard tools like JavaScript, Next.js, OpenAI, Hugging Face, and TensorFlow.js to help learners master the complete workflow of integrating AI services into full-stack web applications. In 32 hours, you’ll learn to bridge web development expertise with AI implementation to build responsive interfaces that connect to powerful AI APIs, run machine learning models in the browser, and deploy production-ready intelligent applications—all while understanding ethical and responsible AI practices. You’ll also receive a LinkedIn-verified digital badge upon successful course completion. 

Key learning outcomes include:

  • Integrating AI services and APIs into web applications
  • Implementing machine learning in the browser with TensorFlow.js
  • Deploying production-ready AI web applications
Yes. All of our courses are designed for busy professionals with full-time work commitments. There’s no prework or homework, and the workload is designed to be manageable with a full-time job. If you need to miss a session or two, we offer resources to help you catch up. We recommend you discuss any planned absences with your instructor.

Our Admissions team is here to help and can advise whether this course is right for you and your learning goals. You can also:

*Course modality options vary by location, pending market availability. Please contact our Admissions team to discuss what version is available in your location.

Education does not guarantee outcomes, including, but not limited to, employment or future earnings potential.
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