Master Backend with 16 hands-on courses built by working backend engineers. Learn by building real projects, earn a shareable certificate, and level up at your own pace.
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Curated by working backend engineers to get you building fast.
Learn how to integrate AI-powered development workflows into backend engineering using AntiGravity. This course covers AI-driven system building, prompt engineering for backend contexts, live build walkthroughs, code review practices, and how to evaluate AI agents as part of a production-grade engineering workflow.

All-in-one Nodejs course for learning backend engineering with Nodejs. This comprehensive course is designed for Nodejs developers seeking proficiency in Nodejs.

All-in-one Nodejs course for learning backend engineering with Nodejs. This comprehensive course is designed for Nodejs developers seeking proficiency in Nodejs.

All-in-one Python course for learning backend engineering with Python. This comprehensive course is designed for Python developers seeking proficiency in Python.

All-in-one Rust course for learning backend engineering with Rust. This comprehensive course is designed for Rust developers seeking proficiency in Rust.

All-in-one Java and Spring course for learning backend engineering with Java. This comprehensive course is designed for Java developers seeking proficiency in Java.

Learn to implement production-grade logging and caching in Django — configure FileHandler logging, instrument views with logger calls, set up LocMemCache, and implement cache.get / cache.set / cache.delete patterns with full test coverage.

Learn how to build production-grade AI workflows that don't break. Covers the 3 critical failure modes and the engineering patterns to prevent them.

A foundational course in data structures and algorithms using Python. Covers arrays, linked lists, stacks, queues, heaps, time complexity, Big O notation, binary search, bubble sort, and applied problem solving — building the algorithmic thinking backend engineers need for production systems and technical interviews.

A production-focused AI engineering course for backend developers covering AI foundations, prompt engineering, RAG pipelines, AI agents, agentic RAG, AI system architecture, and prototype-to-production practices including evaluation, cost optimization, and deployment patterns.

Learn how to integrate AI-powered development workflows into backend engineering using AntiGravity. This course covers AI-driven system building, prompt engineering for backend contexts, live build walkthroughs, code review practices, and how to evaluate AI agents as part of a production-grade engineering workflow.

Master the Spring ecosystem from fundamentals to advanced concepts and learn how to build scalable, production-ready backend systems using Spring Framework and Spring Boot. This course covers Dependency Injection, Spring modules, REST development, data persistence, and modern enterprise development practices used in real-world Java applications.

All-in-one Nodejs course for learning backend engineering with Nodejs. This comprehensive course is designed for Nodejs developers seeking proficiency in Nodejs.

All-in-one Python course for learning backend engineering with Python. This comprehensive course is designed for Python developers seeking proficiency in Python.

All-in-one Rust course for learning backend engineering with Rust. This comprehensive course is designed for Rust developers seeking proficiency in Rust.

Build real-world projects and add them to your portfolio.
Build a real-time AI chat application in Go that streams LLM responses token by token from a locally running Ollama instance, using Server-Sent Events (SSE) on the backend and a clean fetch() + ReadableStream frontend.
This project involves building a simple blogging API where users can sign up for an account, create blog posts, interact with other users, comment on posts, and follow their favorite bloggers.
The "Build Your Own Simple To-Do List API" project aims to develop a straightforward yet effective API that enables users to manage their daily tasks efficiently.
The "Weather API" project aims to develop a comprehensive API that provides weather forecasts, and weather alerts, and supports user preferences for units of measurement.
The "Build Your Own Online Marketplace Platform" project aims to develop a scalable and efficient API that allows users to list products, browse and purchase items, manage their accounts, and handle transactions securely.
The "Build Your Own E-learning Application" project aims to develop a scalable and efficient API that allows users to explore courses, enroll in them, complete assignments, and manage their learning progress.
You'll go from fundamentals to production-ready Backend skills through short lessons and hands-on projects you build yourself.
Most tracks start at a basic level. Pick a Basic course to begin, or jump to Intermediate/Advanced if you already know the fundamentals.
Yes — complete a course and you'll earn a certificate you can add to LinkedIn, your resume, and your performance reviews.
Each course lists its duration in hours. Learn at your own pace — start free and upgrade any time.