Build MERN E-commerce Backend API : With/Without AI. Part 1

Master MERN Stack backend development with MongoDB, Mongoose, APIs, and AI coding using Cursor AI, With/Without Coding

This course is designed to provide students with a comprehensive understanding of building and deploying full-featured APIs, including leveraging AI tools like Cursor AI. Students will learn how to build APIs using AI-driven approaches while mastering backend development with the MERN stack, MongoDB/Mongoose, and integrating advanced features.

Throughout the course, students will learn to integrate Stripe for payment processing, implement pagination and filtering techniques, analyze order statistics, manage orders through an admin panel, and handle categories and product management. Additionally, the course will guide students on database design and connection, as well as implementing user authentication and authorization.

The course starts with an introduction to Node.js and the fundamentals of API development, including setting up a development environment, creating and testing API endpoints, and connecting to databases. As students progress, they will explore integrating Stripe for payments, handling webhooks, implementing advanced querying techniques, and building robust analytics systems.

What sets this course apart is the integration of AI-powered coding techniques using Cursor AI, enabling students to build efficient, scalable APIs faster. Students will also work on real-world projects to gain hands-on experience with tools and workflows that enhance their productivity and understanding of modern API development.

Topics include:

• Building and testing APIs with AI-driven tools like Cursor AI

• Integrating Stripe for payment processing and webhooks

• Designing pagination, filtering, and order analytics

• Implementing admin processes for orders, product management, and categories

• Ensuring API security, performance, and scalability

By the end of the course, students will have a strong foundation in API development, the skills to deploy APIs in real-world environments, and practical experience with AI tools that enhance coding efficiency.