Rapid Prototyping with AI

Turn Ideas into AI-Powered Prototypes—Fast.

MODE
Mode(Online) TYPE
Mentor Based LEVEL
Moderate

Skills you will gain:

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.

Aim:

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.

Program Objectives:

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

What you will learn?

🗓️ 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

Intended For :