AI Integration in Web Development
Unlock the power of full-stack development in the age of AI with our intensive program. Gain hands-on expertise in the modern web stack—React, Node.js, and MongoDB—and master the integration of AI using Python. You'll learn to build, deploy, and lead in the creation of intelligent, data-driven web applications, equipping you with the critical skills to innovate and thrive in tomorrow’s technology landscape.
Learning Outcome
  1. Build responsive, interactive user interfaces using React, HTML, CSS, and modern JavaScript (ES6+).
  2. Manage code versions and collaborate effectively using Git and GitHub.
  3. Develop a Node.js and Express backend with RESTful API endpoints.
  4. Model and store flexible application data using MongoDB, a NoSQL (unstructured) database.
  5. Connect a React frontend to a Node.js backend via fetch() and RESTful APIs.
  6. Deploy a full-stack application with separate frontend (e.g., Netlify) and backend (e.g., Render) hosting.
Learning Objective
  1. Develop full-stack web applications by building dynamic frontends with React and robust backends with Node.js and Express, integrating MongoDB for data management.
  2. Gain practical DevOps and collaboration skills through hands-on experience with Git workflows, RESTful API design, and end-to-end application deployment.
  3. Establish a foundation in AI and data science by mastering Python programming, core AI/ML concepts, and essential libraries like NumPy, Pandas, and scikit-learn.
  4. Integrate AI into production web solutions by learning to embed, serve, and consume machine learning models within full-stack applications, creating intelligent, data-driven systems.
Course Structure
  1. Frontend Foundations with HTML, CSS, JavaScript & React Intro
    Master the complete web development workflow, from static structure to dynamic applications. Begin with the core frontend triad—using HTML for semantic structure, CSS for styling (including Flexbox/Grid), and JavaScript for DOM manipulation. Then, dive into modern React development, understanding the component-based architecture, Virtual DOM, and declarative JSX syntax. Learn to set up projects with Vite, build interactive features with props and state, and apply your skills by creating a static portfolio or product showcase, all while leveraging efficient developer tools and live reload workflows.
  2. Git, Collaboration & Project Workflow
    Acquire essential version control and collaborative development skills from day one. You will learn Git fundamentals—such as repositories, commits, branching, and merging—and apply them using GitHub for remote collaboration and pull requests. Implement professional workflows, including using .gitignore for security and structured branch naming (e.g., feat/, fix/). You'll immediately put these skills into practice by integrating Git into React projects, from initialization to publishing a complete application on GitHub.
  3. Backend with Node.js & Express + NoSQL Databases
    Develop robust server-side applications and modern database solutions in this comprehensive module. You will learn to build REST APIs with Node.js and Express.js, mastering routing, middleware, and request handling. Explore the role of NoSQL databases and dive into MongoDB fundamentals, including documents, collections, and BSON. Apply your skills by connecting an Express backend to MongoDB Atlas and creating a functional API, such as a /api/users endpoint to store and retrieve user profiles.
  4. RESTful APIs & Frontend-Backend Integration
    Build full-stack applications by mastering the connection between frontend and backend systems. You will design and implement RESTful endpoints to send and receive JSON data, then consume these APIs within a React frontend using fetch() and useEffect. Learn to display dynamic data from MongoDB in your components, manage loading and error states, and configure CORS in Express. Apply these skills in a project that integrates a React frontend with a Node.js backend to read from and write to a live MongoDB database.
  5. Full-Stack Project with Modern Workflow
    Complete your development cycle by planning, building, and deploying a modern full-stack application. Learn to map out your project from data model to API to user interface, then construct a MERN-like stack using MongoDB, Express, React, and Node.js. Build an Express backend with full CRUD operations connected to MongoDB Atlas, and develop a React frontend with state management to fetch, display, and post data. Organize your code using version control and structured repositories, and explore deployment options by hosting your frontend on Netlify or Vercel and your backend on Render or Railway.
  6. Introduction to Python
    Learn the fundamentals of Python programming and data science in this comprehensive module. Master core concepts such as variables, data types, and control flow, then progress to essential data structures and functions. Explore the powerful NumPy package for numerical computing, manipulate and preprocess data efficiently using Pandas, and learn to create clear, effective visualizations with Matplotlib.
  7. Introduction to Artificial Intelligence and Machine Learning
    Explore the world of artificial intelligence and machine learning in this foundational module. Gain an understanding of key concepts, different types of machine learning, and real-world applications. Learn about common ML algorithms and their implementation, and get an overview of essential Python libraries such as Scikit-learn, TensorFlow, PyTorch, and Keras.
  8. Introduction to Deep Learning
    Dive into deep learning with an introduction to its core architectures. Learn how Convolutional Neural Networks (CNNs) process image data and how Recurrent Neural Networks (RNNs) handle sequential text data, both with practical Keras examples. Apply your knowledge by building a simple image classifier from scratch using a CNN.
  9. Integrating AI Model into Full Stack Application
    Master the essential skills for deploying machine learning models. Learn to save and load scikit-learn and Keras models for reuse, build and serve models through RESTful API endpoints, and understand how to consume these APIs. Finally, explore serving a model using the MLflow platform to streamline the deployment lifecycle.
Why This Program
  1. Master full-stack JavaScript development by building modern web applications using React for the frontend and Node.js with Express for the backend.
  2. Learn to integrate and manage unstructured data by working with MongoDB, a leading NoSQL database, for dynamic data storage.
  3. Develop practical proficiency in collaborative development through daily coding exercises and hands-on Git-based workflows.
  4. Acquire foundational skills in Python programming, establishing a versatile base for scripting and backend logic.
  5. Design and build robust backend services by understanding and implementing RESTful API architecture for seamless frontend-backend communication.
  6. Grasp core artificial intelligence concepts to understand how models function and can be practically applied.
  7. Gain experience in end-to-end application deployment, mastering the steps required to take a project from development to a live, public environment.
  8. Culminate your learning by integrating AI models into full-stack web applications, enabling you to build and deploy intelligent, data-driven solutions.
Pre-requisite
  1. This program requires a foundational understanding of programming concepts such as variables, loops, and functions in any language (JavaScript or Python is preferred). Familiarity with basic web concepts, like how browsers and websites function, is also helpful. No prior experience with specific technologies like React, Node.js, or databases is needed to begin.
Delivery Mode
Workshop / Face-to-Face
Duration
1 week (5 days) - 8 hours per day (total 40 hours) for each Phase
Course Code
CETA-PROD-102
Area of Interest
Productivity
Tools/ Operating Systems
Windows 10 / 11 Operating System or later version (MAC OS is also supported)
Download Program Details
Brochure_AI Integration In Web Development.pdf
About Trainer
Sonam Wangmo
Fullstack Lecturer
Ms. Sonam Wangmo is a Lecturer at GCIT with a master’s degree from IIIT, Hyderabad, India. She currently leads the Fullstack Specialization team, guiding students in both front-end and back-end development.
Tawmo
AI&DS Lecturer
Ms. Tawmo is a Lecturer in Artificial Intelligence and Data Science at GCIT, with five years of teaching experience. Her master’s thesis on "Semantic Evaluation Approach for Text Summarization" in Natural Language Processing (NLP) highlights her expertise in advanced AI methodologies.
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At GCIT, we prepare Bhutan's future IT leaders with innovative programs and hands-on experience. Our CETA arm focuses on upskilling professionals in productivity, technology, and management to support Bhutan's Digital Transformation.


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