LPU - Lovely Professional University
What you'll learn

This 5-week AI-Powered Full Stack Developer Bootcamp focuses on building complete web applications using the MERN stack (MongoDB, Express, React, Node.js) through hands-on practice. The program covers frontend development, backend API creation, database management, and integration of AI features such as chatbots and resume analyzers. It also includes DevOps concepts like version control, CI/CD, and cloud deployment. Real-world projects are developed and deployed, ensuring practical experience and a strong portfolio for full stack developer roles.

  • Frontend Foundations: JavaScript Essentials focuses on building a strong base in JavaScript for creating interactive and dynamic web applications. This topic covers core concepts such as variables, data types, operators, functions, arrays, and objects, along with modern JavaScript features like ES6 syntax, arrow functions, destructuring, and modules. It also introduces asynchronous programming using promises and async/await, enabling efficient handling of APIs and real-time data. Practical exercises are included to strengthen problem-solving skills and prepare for advanced frontend development using frameworks like React.
  • React-Js focuses on understanding how modern user interfaces are built using a component-based approach. This topic covers the basics of React, including JSX syntax, components, and how applications are structured as reusable UI elements. It introduces the concept of Single Page Applications (SPA), the Virtual DOM for efficient rendering, and how React improves performance and user experience. Learners gain hands-on experience in creating simple components and building interactive web pages, forming a strong foundation for advanced frontend development.
  • Backend (Node.js, Express) and Database focuses on building the server-side logic that powers web applications. This topic covers creating APIs using Node.js and Express, handling requests and responses, and structuring applications using routes and middleware. It also includes working with databases using MongoDB, designing schemas, and performing CRUD operations. The integration of backend with frontend is introduced, enabling complete data flow in applications and preparing for full stack project development.
  • AI Integration & Advanced Features focuses on enhancing web applications by adding intelligent and modern capabilities. This topic covers integrating AI APIs (such as those from OpenAI) to build features like chatbots, resume analyzers, and content generation tools. It also includes working with APIs, handling real-time data, improving performance, and implementing advanced functionalities such as search, recommendations, and error handling. The goal is to create smart, scalable applications that provide a better user experience and align with current industry trends.
  • DevOps, Deployment, and Complete Project focuses on taking applications from development to production using modern industry practices. This topic covers version control with Git, basics of CI/CD pipelines, and containerization concepts to streamline development and deployment. It includes deploying full stack applications on cloud platforms, managing environment variables, and ensuring application security and performance. The module concludes with building and deploying a complete real-world project, integrating frontend, backend, database, and AI features, resulting in a fully functional, live application ready for portfolio use.

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Nitish Kumar
Assistant Professor

Nitish Kumar has 4 years of Academic experience.


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Dr. Anshu Sharma
Associate Professor

Dr. Anshu Sharma has 15 years of Academic experience.


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Dr. Chirag Sharma
Associate Professor

Dr. Chirag Sharma has 14 years of Academic experience.