GraphQL for Builders
GraphQL fixes the most painful parts of REST: over-fetching, under-fetching, and the endless proliferation of endpoints. This course takes you from the basics of the query language to building a secure, production-ready GraphQL API with authentication, pagination, and DataLoader batching.
What you'll learn
Course outline
Free — no account needed
What GraphQL Is and Why REST Falls Short
REST limitations at scale, what GraphQL solves, and how the spec actually works
Your First Schema — Types, Fields, and Resolvers
SDL type definitions, scalar types, object types, writing resolvers, and the N+1 problem
Queries — Fetching Exactly What You Need
Query syntax, fields, aliases, fragments, variables, and inline fragments
Full course — $49 one-time
Mutations — Writing Data with GraphQL
Mutation syntax, input types, returning updated data, and error handling conventions
Authentication and Context — Securing a GraphQL API
JWT in GraphQL context, per-resolver auth guards, and authenticated vs public queries
Apollo Client in React — Consuming a GraphQL API
useQuery, useMutation, cache management, optimistic updates, and loading and error states
Production GraphQL — Pagination, Batching, and Persisted Queries
Cursor pagination, DataLoader for batching, persisted queries, schema stitching overview, when NOT to use GraphQL
Get the full course
7 lessons — practical, project-based, no fluff.
About this course
GraphQL is the API design language that replaced REST for teams who were tired of over-fetching, under-fetching, and managing dozens of endpoints. Rather than the server deciding what data to send, the client specifies exactly what it needs — and gets back precisely that, no more. This course teaches you GraphQL from schema definition to production deployment, with a focus on the patterns that actually work at scale: N+1 avoidance, authentication integration, and client-side caching.
Builders who learn GraphQL consistently report that it simplifies their frontend-backend contract and makes it easier to iterate quickly — changing what data a screen needs without touching the server. If you are building a product with a complex data model, multiple frontends, or a team where frontend and backend developers work separately, GraphQL pays back the learning investment quickly.
Frequently asked questions
Should I use GraphQL or REST for my new API?
Use GraphQL if you have: multiple clients with different data needs (web + mobile + third party), complex relational data where clients need flexible querying, or a team where the frontend and backend iterate separately and you want a typed contract. Use REST if you have: a simple CRUD API with predictable data shapes, a public API where simplicity for consumers matters most, or a team already expert in REST who would pay a high context-switching cost.
What is the N+1 problem and how does DataLoader solve it?
The N+1 problem occurs when resolving a list query makes N additional database calls — one per item. Example: fetch 10 posts, then for each post fetch its author — that is 1 + 10 = 11 queries. DataLoader batches and caches these child calls: instead of 10 separate author fetches, DataLoader waits for all author IDs to be collected, then fetches them in a single query. This is the most critical performance optimisation in any production GraphQL API.
What is the difference between Apollo Server and GraphQL Yoga?
Apollo Server is the most widely-used GraphQL server for Node.js — mature, well-documented, with strong ecosystem support including Apollo Studio for monitoring. GraphQL Yoga is a newer, lighter alternative that runs on any JavaScript runtime including Cloudflare Workers and Deno. Both use the same GraphQL.js core. For most new projects, Apollo Server is the safer choice for ecosystem maturity; Yoga if you need edge runtime support.
Can I use GraphQL with Next.js?
Yes — Next.js API routes or Route Handlers work as GraphQL endpoints. You can use Apollo Server, GraphQL Yoga, or the lightweight graphql-http library as the handler. For the client, Apollo Client, URQL, and SWR with a custom fetcher all work well with Next.js App Router Server Components. The course covers Next.js integration specifically.
How do I handle authentication in a GraphQL API?
Authentication in GraphQL works best at the transport layer (check a JWT or session cookie in middleware before the request reaches your resolvers) rather than inside resolvers. Once verified, attach the user to the request context. Resolvers then read from context to check permissions. Never put auth logic in every resolver — it creates duplication and security gaps. The course covers JWT authentication, context injection, and field-level authorisation patterns.