Turn Ideas into AI-Powered Prototypes—Fast.
Rapid Prototyping with AI is a dynamic, hands-on program that bridges the gap between idea and execution. Whether you’re a startup founder, product designer, developer, or innovator, this course provides you with the essential knowledge and tools to rapidly build AI-integrated minimum viable products (MVPs). No heavy coding. Just creativity, AI tools, and rapid execution.
To empower individuals with the skills and tools needed to quickly conceptualize, build, and showcase AI-enabled prototypes using no-code/low-code platforms and pre-trained AI models—without the need for advanced programming.
To enable rapid creation of AI prototypes with minimal technical barriers
To introduce real-world AI tools and platforms used in industry
To promote innovation through experimentation and hands-on learning
To prepare participants to pitch and refine AI-powered ideas rapidly
🗓️ Week 1: Foundations of AI & Prototyping Tools
Module 1: Introduction to Rapid Prototyping
Chapter 1.1: What is Rapid Prototyping?
Chapter 1.2: Benefits of AI-Driven MVP Development
Chapter 1.3: Applications in Product, UX, and Business
Module 2: AI Technologies and Toolkits
Chapter 2.1: Overview of NLP, Computer Vision, Generative AI
Chapter 2.2: Low-Code/No-Code Platforms (Bubble, Glide, Zapier)
Chapter 2.3: API-based Tools (OpenAI, Hugging Face, Replicate)
Chapter 2.4: Generative Design Tools (DALL·E, Midjourney, Uizard)
🗓️ Week 2: Building AI-Driven Prototypes
Module 3: Prototyping from Concept to App
Chapter 3.1: Project Planning and Feature Mapping
Chapter 3.2: Using AI to Power UX: Chatbots, Smart Forms
Chapter 3.3: Integrating Text, Image, and Data AI Modules
Chapter 3.4: Real-Time Testing and Iteration Loops
Module 4: Case Studies and Midterm Reviews
Chapter 4.1: AI Chatbot MVP Walkthrough
Chapter 4.2: Smart Data Dashboard Prototype
Chapter 4.3: Peer Feedback and Iterative Improvement
🗓️ Week 3: Testing, Launching & Capstone Development
Module 5: Validation, Deployment & Ethics
Chapter 5.1: Testing & Debugging AI Features
Chapter 5.2: Hosting Prototypes with Vercel/Firebase
Chapter 5.3: AI Ethics, Bias, and Data Privacy in Prototyping
Module 6: Capstone Project & Showcase
Chapter 6.1: Final Project Build – AI-Enhanced MVP
Chapter 6.2: Live Demo & Presentation Guidelines
Chapter 6.3: Careers, Freelancing & Further AI Development
Prototype functional AI-based solutions using industry-standard tools
Confidently integrate and deploy pre-trained AI models
Learn to test, refine, and pitch their MVPs for real-world application
Gain clarity on building scalable AI-driven products
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
Join our mailing list for exclusive offers and course announcements
