
Backend Course
Master backend development from HTTP fundamentals to distributed systems, databases, and cloud deployment. This course gives you the technical depth to build secure, scalable, production-grade APIs that real teams ship. Go from setting up your environment to architecting microservices, async pipelines, and observability systems.
What you will learn:
You will learn how to design and build RESTful APIs, model relational and document databases, and write efficient SQL queries. You will implement secure authentication flows using JWTs and role-based access control. The course covers asynchronous job queues, caching layers, and performance profiling techniques. You will also explore advanced patterns, including GraphQL, gRPC, and event-driven architecture. Finally, you will write automated tests, containerise services with Docker, and set up CI/CD pipelines with structured logging and metrics.
How you study in practice Backend Course
How you practise Backend Course
For companies looking to train their teams
With Elevify for businesses, the course includes exercises and examples tailored to your company and its specific needs.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsBackend Development Foundations
Backend Development Foundations
Lesson 1 • How the Web Works
Covers DNS resolution, TCP/IP, and HTTP/HTTPS fundamentals. Provides the network context every backend decision depends on.
Lesson 2 • Backend Roles and Responsibilities
Defines what backend engineers own: data, logic, security, and performance. Sets professional expectations for the entire course.
Lesson 3 • Development Environment Setup
Configures a local backend workspace with runtime, package manager, and version control. Ensures every learner starts from a consistent baseline.
Lesson 4 • HTTP Request and Response Cycle
Examines HTTP methods, status codes, headers, and body formats. Connects protocol mechanics to backend handler design.
Chapter 2HideHide detailsSee detailsDatabases and Data Modelling
Databases and Data Modelling
Lesson 1 • ORM Usage and Pitfalls
Maps database tables to application models using an ORM and identifies N+1 query problems. Balances developer productivity with query efficiency.
Lesson 2 • SQL Query Writing
Covers SELECT, INSERT, UPDATE, DELETE, and JOIN operations. Connects query syntax to real data retrieval and mutation tasks.
Lesson 3 • NoSQL and Document Stores
Contrasts document, key-value, and column-family models with relational databases. Guides appropriate database selection per use case.
Lesson 4 • Schema Migrations and Versioning
Manages schema changes through versioned migration files and rollback strategies. Ensures safe schema evolution in production environments.
Lesson 5 • Relational Database Fundamentals
Introduces tables, primary keys, foreign keys, and normalisation forms. Builds the conceptual model for all SQL work ahead.
Chapter 3HideHide detailsSee detailsBuilding RESTful APIs
Building RESTful APIs
Lesson 1 • Routing and Controllers
Maps URL patterns to handler functions and organises controllers by resource. Establishes the structural pattern used throughout the course.
Lesson 2 • API Versioning Strategies
Compares URI, header, and query-param versioning approaches. Enables backward-compatible API evolution over time.
Lesson 3 • REST Architectural Principles
Explains the six REST constraints and resource naming conventions. Grounds API design decisions in architectural reasoning.
Lesson 4 • Error Handling and HTTP Semantics
Implements centralised error handling and maps exceptions to correct HTTP status codes. Produces consistent, client-friendly error responses.
Lesson 5 • Request Validation and Sanitisation
Validates incoming payloads against schemas and sanitises user input. Prevents malformed data from reaching business logic.
Chapter 4HideHide detailsSee detailsAuthentication and Authorisation
Authentication and Authorisation
Lesson 1 • JSON Web Tokens in Depth
Constructs, signs, and validates JWTs and manages token expiry and refresh. Enables stateless authentication across distributed services.
Lesson 2 • Authentication Concepts and Flows
Distinguishes authentication from authorisation and maps common identity flows. Establishes vocabulary for all security decisions in this chapter.
Lesson 3 • Password Security and Hashing
Applies adaptive hashing algorithms and salting to protect stored credentials. Prevents credential exposure from database breaches.
Lesson 4 • Securing API Endpoints
Applies authentication guards, rate limiting, and CORS policies to API routes. Hardens the API surface against common attack vectors.
Lesson 5 • Role-Based Access Control
Defines roles, permissions, and policy enforcement middleware. Restricts resource access based on authenticated user roles.
Chapter 5HideHide detailsSee detailsCaching and Performance Optimisation
Caching and Performance Optimisation
Lesson 1 • HTTP Caching and ETags
Configures Cache-Control headers, ETags, and conditional requests to reduce server load. Uses the HTTP layer for zero-cost response delivery.
Lesson 2 • Caching Concepts and Layers
Maps caching opportunities across in-process, distributed, and CDN layers. Establishes a framework for choosing the right cache per scenario.
Lesson 3 • Database Query Optimisation
Uses query plans, indexes, and denormalisation to speed up slow queries. Directly reduces the most common backend performance bottleneck.
Lesson 4 • Profiling and Benchmarking APIs
Measures API throughput, latency percentiles, and memory usage under load. Provides data-driven evidence for optimisation decisions.
Lesson 5 • Distributed Cache Implementation
Integrates a distributed key-value store for session and query result caching. Reduces repeated database round-trips for hot data.
Chapter 6HideHide detailsSee detailsAsynchronous Processing and Queues
Asynchronous Processing and Queues
Lesson 1 • Synchronous vs. Asynchronous Patterns
Contrasts blocking request handling with deferred processing and event-driven models. Motivates queue adoption for latency-sensitive APIs.
Lesson 2 • Error Handling in Async Pipelines
Manages failures across worker processes with dead-letter queues and alerting. Ensures no job is silently lost in production.
Lesson 3 • Scheduled and Recurring Jobs
Configures cron-style schedules for periodic tasks and handles missed-run recovery. Automates maintenance and reporting workflows.
Lesson 4 • Message Queue Fundamentals
Explains producers, consumers, exchanges, and queues in a message broker. Provides the mental model for all queue-based implementations.
Lesson 5 • Job Queue Implementation
Implements a job queue with retry logic, concurrency control, and priority lanes. Connects queue theory to production-grade worker code.
Chapter 7HideHide detailsSee detailsAPI Design Patterns and Architecture
API Design Patterns and Architecture
Lesson 1 • GraphQL API Design
Defines schemas, resolvers, and mutations in GraphQL and compares it to REST. Enables flexible, client-driven data fetching.
Lesson 2 • API Documentation and Contracts
Generates OpenAPI specifications and enforces contract testing between services. Aligns frontend and backend teams on shared API expectations.
Lesson 3 • Microservices Communication Patterns
Compares synchronous and asynchronous inter-service communication and handles partial failures. Builds resilient service meshes.
Lesson 4 • gRPC and Protocol Buffers
Defines service contracts in Protocol Buffers and implements gRPC server and client. Delivers high-performance binary communication between services.
Lesson 5 • Event-Driven Architecture
Designs systems around domain events, event sourcing, and pub/sub messaging. Decouples services and enables audit-friendly state management.
Chapter 8HideHide detailsSee detailsTesting, Deployment, and Observability
Testing, Deployment, and Observability
Lesson 1 • Containerisation with Docker
Packages backend services into Docker images and orchestrates multi-container environments. Eliminates environment inconsistency between development and production.
Lesson 2 • Metrics, Alerts, and Dashboards
Instruments services with RED metrics and configures actionable alerts. Provides real-time visibility into service health and SLO compliance.
Lesson 3 • Structured Logging and Tracing
Emits structured logs and distributed traces to correlate events across services. Enables rapid root-cause analysis in production incidents.
Lesson 4 • CI/CD Pipeline Construction
Automates build, test, and deployment stages in a continuous delivery pipeline. Reduces manual release risk and accelerates delivery frequency.
Lesson 5 • Backend Testing Strategies
Applies unit, integration, and end-to-end tests to backend services with appropriate mocking. Establishes a test pyramid that catches regressions efficiently.

Your valid completion certificate
This course is for you:
Junior developer: ready to move beyond frontend tasks and own server-side logic.
Career changer: bringing transferable skills and needing structured backend engineering foundations.
CS graduate: holding theoretical knowledge but lacking practical, production-focused backend experience.
Full-stack generalist: wanting to deepen backend expertise beyond surface-level framework usage.
Freelance developer: building client projects and needing reliable, secure, scalable backend patterns.
QA or DevOps engineer: seeking deeper backend understanding to collaborate more effectively with developers.
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