Rapid Prototyping with AI
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Course Overview
Table of Contents
Program Syllabus
Module 1
About
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.
Module 2
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.
Module 3
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Rapid Prototyping with AI
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Program Objectives
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To enable rapid creation of AI prototypes with minimal technical barriers
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To introduce real-world AI tools and platforms used in industry
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To promote innovation through experimentation and hands-on learning
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To prepare participants to pitch and refine AI-powered ideas rapidly
Module 4
Program Structure
Module 5
Module 1: Introduction to Rapid Prototyping
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Chapter 1.1: What is Rapid Prototyping?
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Chapter 1.2: Benefits of AI-Driven MVP Development
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Chapter 1.3: Applications in Product, UX, and Business
Module 6
Module 2: AI Technologies and Toolkits
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Chapter 2.1: Overview of NLP, Computer Vision, Generative AI
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Chapter 2.2: Low-Code/No-Code Platforms (Bubble, Glide, Zapier)
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Chapter 2.3: API-based Tools (OpenAI, Hugging Face, Replicate)
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Chapter 2.4: Generative Design Tools (DALL·E, Midjourney, Uizard)
Module 7
Module 3: Prototyping from Concept to App
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Chapter 3.1: Project Planning and Feature Mapping
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Chapter 3.2: Using AI to Power UX: Chatbots, Smart Forms
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Chapter 3.3: Integrating Text, Image, and Data AI Modules
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Chapter 3.4: Real-Time Testing and Iteration Loops
Module 8
Module 4: Case Studies and Midterm Reviews
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Chapter 4.1: AI Chatbot MVP Walkthrough
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Chapter 4.2: Smart Data Dashboard Prototype
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Chapter 4.3: Peer Feedback and Iterative Improvement
Module 9
Module 5: Validation, Deployment & Ethics
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Chapter 5.1: Testing & Debugging AI Features
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Chapter 5.2: Hosting Prototypes with Vercel/Firebase
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Chapter 5.3: AI Ethics, Bias, and Data Privacy in Prototyping
Module 10
Module 6: Capstone Project & Showcase
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Chapter 6.1: Final Project Build – AI-Enhanced MVP
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Chapter 6.2: Live Demo & Presentation Guidelines
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Chapter 6.3: Careers, Freelancing & Further AI Development
Module 11
📽️ Week 1 Videos (~6.5 hours)
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What is Rapid Prototyping with AI? (15 min)
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Key AI Technologies (NLP, CV, GenAI) Explained (30 min)
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No-Code/Low-Code Tools Overview (25 min)
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Prompt Engineering Basics (30 min)
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Generative AI: From Idea to Asset (30 min)
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Using OpenAI & Hugging Face APIs (30 min)
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Use Cases: Chatbots, UI Assistants, and Workflow Tools (30 min)
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Planning Your First AI Prototype (30 min)
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Summary & Getting Ready to Build (20 min)
Module 12
📽️ Week 2 Videos (~7 hours)
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From Concept to Functional UI (30 min)
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Building AI Chatbots with GPT (30 min)
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Adding Text Generation to Apps (30 min)
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Integrating Image Gen (DALL·E, Midjourney, RunwayML) (45 min)
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Dashboards & AI Data Summarization (45 min)
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UI/UX with AI Tools (Uizard, Figma AI) (30 min)
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Real-Time Testing and Iteration (30 min)
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Prototype Peer Feedback & Refinement (60 min)
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Mid-Project Case Study: AI Productivity Assistant (60 min)
Module 13
📽️ Week 3 Videos (~6.5 hours)
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Testing and Debugging AI Prototypes (30 min)
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Deploying with Vercel, Netlify, Firebase (45 min)
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Handling Data and Privacy in AI Apps (45 min)
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Retrofit Case: Adding AI to Existing Product (30 min)
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Full Build Walkthrough: Smart Recommendation Engine (45 min)
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Communicating Your MVP: Demo and Pitch (30 min)
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Capstone Support Video & Tips (30 min)
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Final Project Presentations (45 min)
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Future of AI Prototyping & Career Paths (15 min)
Module 14
Live Lecture Module
Expert-led interactive sessions aligned with project-building milestones
Module 15
🎤 Lecture 1 (Week 1)
Title: From Idea to Prototype: Leveraging AI to Build Fast and Smart
Duration: 60 minutes
Focus: Understanding the rapid prototyping mindset, AI tool selection, and MVP scoping
Guest: Product Strategist or No-Code AI Entrepreneur
Interactive: Live MVP brainstorming + AI use-case canvas exercise
Module 16
🎤 Lecture 2 (Week 2)
Title: Building in Real-Time: How to Integrate AI into Your Prototype
Duration: 75 minutes
Focus: Combining generative AI, APIs, and automation into usable products
Guest: AI Developer or Technical Product Manager
Interactive: Live prompt demo + audience builds a mini prototype in session
Module 17
🎤 Lecture 3 (Week 3)
Title: Pitch, Polish, and Ship: Launching Your AI-Driven MVP
Duration: 90 minutes
Focus: Deployment, user testing, and presenting AI-powered apps effectively
Guest Panel: Startup Founder + UX Designer + AI Engineer
Interactive: Capstone feedback session + live pitch showcase and critique
Module 18
Program Outcomes
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Prototype functional AI-based solutions using industry-standard tools
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Confidently integrate and deploy pre-trained AI models
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Learn to test, refine, and pitch their MVPs for real-world application
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Gain clarity on building scalable AI-driven products
Module 20
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 21
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 22
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 23
Future Career Prospects
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Launch their own AI-based startups
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Join innovation and R&D teams
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Contribute to AI product development without deep technical skills
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Manage AI-integrated projects in corporate and startup settings
Module 24
Job Opportunities
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AI Product Innovator
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Prototype Developer (No-Code/Low-Code)
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Innovation Consultant
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MVP Strategist for Startups
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AI Experience Designer
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Demo Engineer / Product Evangelist
Module 25
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 26
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