• Build modern responsive web applications using HTML5, CSS3, JavaScript (ES6+), React.js, Tailwind CSS, and shadcn/ui.
• Develop full-stack MERN applications using React.js, Node.js, Express.js, MongoDB, and Mongoose.
• Build secure REST APIs with JWT authentication, role-based access control, middleware, validation, error handling, and API documentation.
• Design and manage MongoDB databases using schemas, relationships, CRUD operations, aggregation pipelines, indexing, filtering, and pagination.
• Integrate Generative AI into web applications using OpenAI, Gemini, and LangChain.js APIs.
• Build RAG-based AI applications using embeddings, vector databases, document processing, similarity search, and source citations.
• Create AI agents and tool-enabled assistants using LangChain.js, tools, and agent-based workflows.
• Build real-time AI experiences with streaming responses, chat interfaces, persistent chat history, and rate limiting.
• Automate business workflows using n8n, webhooks, and API integrations.
• Deploy full-stack applications using platforms such as Vercel, Railway, Render, and MongoDB Atlas, with basic Docker and CI/CD practices.

Master modern full-stack development with MERN Stack, Generative AI, and Agentic AI through a practical, project-based learning journey. This course takes you from web development fundamentals to building and deploying AI-powered SaaS applications using technologies aligned with the 2026–2027 curriculum.

You will begin with HTML5, CSS3, and JavaScript, covering responsive layouts, modern JavaScript, asynchronous programming, APIs, DOM manipulation, and browser-based applications. You will then progress to React.js, learning components, props, hooks, Context API, React Router, Redux Toolkit, form validation, Tailwind CSS, and shadcn/ui. 

The backend section focuses on Node.js and Express.js, including REST API development, middleware, JWT authentication, role-based access control, file uploads, email integration, security practices, and API documentation. You will also learn MongoDB and Mongoose, including schema design, relationships, CRUD operations, aggregation pipelines, indexing, pagination, and database optimization. 

The course then moves into Generative AI and Agentic AI, where you will work with OpenAI, Gemini, LangChain.js, embeddings, vector databases, RAG pipelines, AI-powered APIs, streaming responses, AI agents, and tool calling. You will build practical applications such as an AI chatbot and an AI Document Q&A system. 

Throughout the course, you will build 10+ hands-on projects, including a Task Manager, Blog API, Real-Time Chat App, E-Commerce application, AI Document Q&A system, AI Chatbot, and an AI SaaS Automation Platform.

The final capstone brings everything together through a multi-tenant AI SaaS platform featuring authentication, role-based access, RAG, AI assistants, subscription billing, usage limits, n8n automation, analytics, and real-time notifications.