AED
UAD Dirham
Code: AED
Program
Rapid Prototyping with AI
Turn Ideas into AI-Powered Prototypes—Fast.
Early access to the e-LMS platform is included
About This Course
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
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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
Program Structure
🗓️ Week 1: Foundations of AI & Prototyping Tools
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 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)
🗓️ Week 2: Building AI-Driven Prototypes
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 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
🗓️ Week 3: Testing, Launching & Capstone Development
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 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
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
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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