Using AI to build AI-powered applications
An introductory course covering the basics of coding, prompt engineering, API interactions, and front-end development with HTML, CSS, and JavaScript—all guided by AI assistance. You’ll harness large language models (LLMs) to code and create web applications that generate content or respond to users in real time. By the end of the course, you’ll have built several mini-projects and a capstone AI-powered app to showcase your new skills.
June 16 - July 6
July 7 - July 27
July 28 – August 17
Approximately 7 -10 hours per week commitment, with live sessions and independent project work
$2,500
Key Highlights
Hands-On Web Development with AI
Design and code interactive web pages alongside AI, learning best practices for HTML, CSS, and JavaScript. Gain confidence by letting large language models assist you in writing customized code for you to execute and study, teaching you how to troubleshoot bugs, and pushing you to write more on your own.
Iterative Project Work
Build small projects—like joke generators, chatbots designed to influence users’ opinions, or Choose Your Own Adventure stories with text and images—before culminating in a final student-designed AI-powered web application. Share and discuss demos with peers to gather feedback.
Look, Think, Do (LTD) Approach & AI Coding Environment
Experience the LTD learning methodology, amplified by AI coding assistance:
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Look: Dive into curated readings and example code bases.
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Think: Reflect on design choices, logic, and problem-solving strategies
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Do: Implement, debug, and extend web apps. Get high-level guidance from AI as you write the code yourself.
Prompt Engineering & LLM Integration
Learn to make your communication clearer, and why this is just as important in AI prompting as it is everywhere else. Practice API calls to proprietary models (e.g., GPT-4 or Claude), handling asynchronous requests, authenticating sessions, and interpreting JSON responses.
Mentor & Peer Support
Receive real-time feedback and troubleshooting guidance from instructors during live office hours and demo sessions. Collaborate with classmates to brainstorm creative extensions, debug code, and swap ideas.
Topics you'll cover
What is Generative AI?
AI-Assisted Front-End Development
Prompt Engineering & LLM APIs
Asynchronous Programming
Debugging & Error Handling
AI Code Generation & Final Projects
This course is for:
Beginners with minimal web dev experience, eager to use AI as a coding partner to learn front-end fundamentals alongside prompt engineering and API integrations
Course Delivery Method
3 Weekly Live Sessions
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Live Labs: Collaborate in real time with instructors and classmates to build or improve mini-projects.
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Demo Sessions: Share your creations, gather input, and learn from other students’ approaches.
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Office Hours: Get one-on-one or small-group troubleshooting and feedback on your code.
Flexible Asynchronous Learning
Complete readings, quizzes, and coding exercises at your own pace.
Community Discussion Forum
Exchange ideas, celebrate milestones, and request peer support for tough coding challenges.
Learning Outcomes
1
Build Interactive AI-Powered Web Applications
Create responsive web applications using HTML, CSS, and JavaScript that leverage large language models to generate content and respond to users in real time.
2
Develop AI-Assisted Coding Proficiency
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Learn to effectively collaborate with AI tools for code generation, debugging, and optimization while maintaining independent problem-solving skills.
3
Master Prompt Engineering and API Integration
Craft effective prompts for targeted AI outputs and implement API connections to proprietary models like GPT-4 and Claude.
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4
Create a Portfolio of AI-Enhanced Projects
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Complete multiple mini-projects and a final capstone application demonstrating your ability to design and implement AI-powered solutions.
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Why take this course?
This course not only introduces you to cutting-edge AI tools but also equips you with the skills to stay independent as you use them.
Join live sessions with instructors and peers through office hours, demos, and hands-on labs—gaining guidance on everything from JavaScript fundamentals to advanced AI prompt tuning.
By the end, you’ll have mastered key AI development skills and built a portfolio of web apps—from simple prototypes to a fully AI-powered application.