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Online Course Professional Diploma in AI-Enabled Full-Stack Web Development
IT & Software Development

Professional Diploma in AI-Enabled Full-Stack Web Development

Master AI-enabled full-stack development with front-end, back-end, databases, REST APIs, AI integration, security, deployment and cloud technologies through practical learning and a complete capstone project.
Course ModeOnline
Duration1 Year
StartsTo Be Announced
Course Fee
₹24,999 /-
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About The Course

Overview

The Professional Diploma in AI-Enabled Full-Stack Web Development is a comprehensive 200-hour program designed to develop practical expertise in modern full-stack web development integrated with Artificial Intelligence.

The program covers the complete development lifecycle, including front-end development, responsive UI/UX, JavaScript, modern frameworks, back-end development, databases, REST APIs and AI API integration.

Learners will also explore AI-powered search, recommendation systems, content generation, chatbots, text summarization and classification, along with authentication, authorization, web security, data privacy and responsible AI practices.

The program further covers Git, collaborative development, application optimization, deployment, cloud hosting, containerization, serverless computing, testing, monitoring and maintenance.

Through hands-on experiments, industry case studies and a capstone project, learners will design, develop, deploy and present a complete AI-enabled full-stack web application.

Learning Goals

Course Outcomes

By the end of this program, learners will be able to:

  1. Understand the concepts of full-stack web development and the integration of Artificial Intelligence into modern web applications.
  2. Develop responsive and interactive front-end applications using HTML, CSS, JavaScript and modern UI frameworks with AI-assisted development tools.
  3. Design and implement back-end services, databases, REST APIs and AI-powered functionalities within full-stack applications.
  4. Apply security, privacy, ethical AI and responsible development practices while building intelligent web applications.
  5. Design, develop, deploy and present a complete AI-enabled full-stack web application.
Curriculum

Course / Modules

Unit I: Foundations of Full-Stack and AI-Enabled Web Development

Topics Covered:

  1. Introduction to Web Development and Full-Stack Architecture
  2. Evolution of the Web: Web 1.0, Web 2.0, Web 3.0 and Intelligent Web
  3. Client-Server Architecture
  4. Request-Response Cycle
  5. Front-End, Back-End, Database and Middleware Concepts
  6. Introduction to Artificial Intelligence in Software Development
  7. Generative AI and Large Language Models
  8. AI-Assisted Coding
  9. Developer Productivity Tools
  10. Modern Development Environments
  11. Introduction to Full-Stack Frameworks
  12. Examples of AI-Enabled Web Applications

Unit II: Front-End Development and AI-Assisted User Interface Design

Topics Covered:

  1. HTML5 Structure and Semantic Elements
  2. CSS Fundamentals and Responsive Web Design
  3. JavaScript Fundamentals
  4. DOM Manipulation and Event Handling
  5. Introduction to Front-End Frameworks
  6. Component-Based Architecture
  7. Responsive UI/UX Design
  8. AI-Assisted Front-End Code Generation
  9. Prompt Engineering for UI Development
  10. Debugging and Optimizing AI-Generated Code
  11. Accessibility and Usability Principles

Unit III: Back-End Development, Databases, and AI Integration

Topics Covered:

  1. Server-Side Programming Concepts
  2. Web Servers and Application Architecture
  3. REST APIs and HTTP Methods
  4. JSON and Data Exchange
  5. Relational and NoSQL Databases
  6. Database Connectivity
  7. CRUD Operations
  8. API Development and Testing
  9. Introduction to AI APIs
  10. Secure API Handling Using API Keys and Environment Variables
  11. Integration of AI Services into Web Applications
  12. Building AI-Powered Services and Chatbot Applications

Unit IV: Building Intelligent, Secure, and Scalable Web Applications

Topics Covered:

  1. Authentication and Authorization Mechanisms
  2. Session Management
  3. Web Application Security
  4. Secure API Integration
  5. AI-Powered Search Systems
  6. Recommendation Systems and Personalization
  7. Content Generation Using AI
  8. Conversational Interfaces and Chatbots
  9. Text Summarization and Classification
  10. Data Privacy
  11. Ethical AI Practices
  12. AI Hallucination, Bias and Reliability
  13. Testing and Validation of AI-Enabled Applications

Unit V: Advanced Full-Stack Development, Deployment, and Capstone Project

Topics Covered:

  1. Architecture of AI-Enabled Full-Stack Applications
  2. Modern Development Workflows
  3. Version Control Using Git
  4. Collaborative Development
  5. AI-Assisted Debugging and Code Optimization
  6. Application Performance Optimization
  7. Deployment Strategies
  8. Cloud Hosting
  9. Containerization Concepts
  10. Serverless Computing
  11. Testing and Quality Assurance
  12. Monitoring and Maintenance
  13. Emerging Trends in AI-Enabled Full-Stack Development
  14. Industry Case Studies
  15. Project Development and Presentation
Need Help?

Frequently Asked Questions

The program duration is 200 hours.
The course is designed for learners at the advanced professional level.
The program covers front-end development, back-end development, databases, REST APIs, AI integration, web security, deployment, cloud technologies, and AI-enabled full-stack application development.
Yes. The program includes a capstone project where learners design, develop, deploy, and present a complete AI-enabled full-stack web application.
The program is suitable for students, graduates, aspiring developers, software professionals, and learners interested in building practical skills in AI-enabled full-stack web development.
Need More Information?

Contact

Name: Dr. Dhanraj Verma

Mobile No: 9755301831

Email: [email protected]