Learn GraphQL from the fundamentals to production-ready: environment setup, history & architecture, schema definition language & type system, queries & mutations, resolvers & data fetching, Apollo Server, databases & data sources, DataLoader & the N+1 problem, input validation & sanitization, error handling, pagination, JWT authentication, authorization & RBAC, security best practices, real-time subscriptions, file upload, advanced schema design, performance optimization, caching, testing, Apollo Federation, code generation, observability, Apollo Client, Next.js integration, deployment, CI/CD, scaling, microservices & serverless, real-time collaboration, an e-commerce project, social media & multi-tenant SaaS, and the future of GraphQL — 51 episodes in total.
Episode 0 lays the foundation for the entire series: the essential skills you must master, the software you need to prepare, and a full development environment setup with TypeScript, ESLint, Prettier, and the GraphQL extension for VS Code.

This episode opens the GraphQL journey from the historical side: its birth at Facebook in 2012, open-sourcing in 2015, and adoption by large companies. You'll also understand the REST problems that drove GraphQL's creation and a comparison of GraphQL versus REST versus gRPC.

This episode dissects how GraphQL works under the hood: parsing, validation, and query execution, the main components such as SDL and resolvers, the three basic operations — query, mutation, and subscription — as well as gateway and federation architectural patterns.

Episode 3 dissects every element of the Schema Definition Language: built-in and custom scalar types, object types, input types, enums, interfaces, unions, plus list types and the modifiers that control nullability. You'll design a first schema that's ready to use.

Episode 4 masters query operations in GraphQL: basic structure, field selection and nested queries, arguments with default values, aliases, fragments with type conditions, variables, and the @include, @skip, and @deprecated directives.

Episode 5 covers mutations for writing data: basic structure and syntax, designing good input types, complete CRUD operations, response patterns with payloads, serial execution for multiple mutations, and best practices for naming and idempotency.

Episode 6 dissects the resolver as the heart of GraphQL: the anatomy of a resolver function, the four parameters — parent, args, context, and info — resolver chains, the context object for sharing data between resolvers, async resolvers, and modular file organization.

Episode 7 assembles your first GraphQL server using Apollo Server 4: installing dependencies, constructing a schema from type definitions and a resolver map, Express integration, using Apollo Sandbox for testing, and a development setup with hot reload and TypeScript.

Episode 8 connects GraphQL to real data sources: data source patterns, SQL integration with Prisma, NoSQL integration with MongoDB and Redis, the RESTDataSource class for external APIs, and best practices for separation of concerns between resolvers and the data layer.

Episode 9 conquers the N+1 problem, GraphQL's classic performance issue: understanding how N+1 arises when resolver chains trigger repeated queries, the DataLoader batching and caching concepts, implementing a batch loader, integrating loaders into the per-request context, and measuring performance improvements.
