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Backend & APIs

668 courses 42 categories

Part of Learn Programming

Backend and API development is the server-side layer that powers everything users don't see directly — authentication, persistence, business logic, third-party integrations, billing, search, and the asynchronous infrastructure (queues, scheduled jobs, event streams) underneath. The topic covers a wide stack of languages and frameworks because most teams pick one and live with it for years; switching backends is rarely cheap.

The mainstream choices in 2026 split roughly into four buckets. Node.js with Express, Fastify, or NestJS dominates JavaScript-heavy startups. Python with Django and FastAPI runs most of the AI-adjacent tooling and a large share of B2C platforms. Go owns infrastructure and CLI tools. The JVM (Java + Spring Boot, Kotlin, Scala) holds the enterprise market and the Apache data ecosystem. PHP-Laravel, Ruby on Rails, .NET, and Elixir-Phoenix fill specific niches.

What you'll find under this topic

  • Languages and frameworks: Node.js, Python, Go, Java, Ruby, PHP, Rust, .NET
  • Web frameworks: Express, FastAPI, Django, Spring Boot, NestJS, Rails, Laravel
  • Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, ClickHouse
  • API patterns: REST, GraphQL, gRPC, WebSockets, Server-Sent Events
  • Messaging and streaming: Kafka, RabbitMQ, NATS, SQS, Pub/Sub
  • System design: caching, sharding, replication, idempotency, distributed transactions
  • Authentication: OAuth2, OIDC, JWT, session management, multi-tenant patterns

Backend roles exist at every company that runs a service — banks, telecom, SaaS platforms, marketplaces, fintech, healthtech. The skill set transfers across employers because the underlying primitives don't change: data modeling, query optimization, designing APIs that survive contact with real users, and the operational discipline of running services that don't go down at 3am.

Top 10 picks for 2026

Categories (42)

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Firebase thumbnail
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Golang (Google Go) thumbnail
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GraphQL thumbnail
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Hibernate ORM thumbnail
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Java thumbnail
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Laravel thumbnail
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Magento thumbnail
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Maven thumbnail
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MongoDB thumbnail
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PHP thumbnail
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Python thumbnail
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Redis thumbnail
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Courses (668)

Showing 130 of 668 courses

Frequently asked questions

Which backend stack should I learn in 2026?
Node.js (Express, Fastify, or NestJS) for JavaScript-heavy teams, Python (Django, FastAPI) for AI-adjacent work, Go for infrastructure and high-throughput services, Java/Spring or Kotlin for enterprise, PHP/Laravel for a large share of agency and SMB work. Pick the one closest to the jobs in your market — switching backends mid-career is rarely cheap.
What's the difference between backend and full-stack?
Backend roles focus on servers, databases, APIs, queues, auth, and infrastructure — frontend work is occasional at best. Full-stack adds the browser tier: React/Vue/Angular, CSS, accessibility, and frontend build tools. Most full-stack jobs lean either backend-heavy or frontend-heavy in practice; pure 50/50 splits are rare except at small startups.
Do I need to know databases to learn backend?
Yes — backend without database fluency is barely backend. Plan on SQL fundamentals (joins, indexes, transactions, query plans), one mature RDBMS (Postgres is the safest pick), and the basics of at least one non-relational store (Redis or DynamoDB). ORMs are a layer on top, not a replacement for understanding what's actually running against the database.
Backend vs DevOps — which is more in demand?
Backend has more openings; DevOps and platform-engineering roles tend to pay better at the senior end because the supply is tighter. The line is blurring — most modern backend roles expect comfort with CI/CD, Docker, and at least one cloud, while many DevOps roles want enough Go or Python to write tooling. Either is a strong path.
How long until I'm hireable as a backend engineer?
6–12 months from a software-engineering baseline; 12–24 months from a cold start. Build a couple of non-trivial projects with real auth, persistence, background jobs, and deployments. Open-source contributions and clear writeups of architectural decisions beat tutorial-completion lists every time when interviewing for backend roles.