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web Advanced 21 lessons

GraphQL API Development

Move beyond the limitations of REST. Learn to build efficient, strongly-typed APIs using GraphQL and Apollo Server to fetch exact data needs.

GraphQL revolutionizes data fetching by allowing clients to request exactly what they need, solving the over-fetching problem of REST. This course teaches you to design flexible schemas, write efficient resolvers, and manage the graph with Apollo Server. You will explore advanced topics like Federation for microservices, caching strategies, and securing your graph. Perfect for developers looking to modernize their API layer and improve frontend developer experience.

100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
API Architects
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Secure Enrollment via SSL

Complete Course Syllabus

  • 1
    GraphQL Basics
    Queries, mutations, and the type system.
  • 2
    Schema Design
    Designing clean, graph-oriented data models.
  • 3
    Resolvers & Data
    Connecting the schema to databases efficiently.
  • 4
    Apollo Federation
    Composing a supergraph from subgraphs.
  • 5
    Security & Caching
    Rate limiting, depth limits, and caching policies.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$110k - $150k

Career Paths

API Developer $110k-$150k
Backend Lead $130k-$170k
Platform Engineer $125k-$165k

What You Will Learn

Design flexible and efficient GraphQL schemas
Write optimized resolvers to connect data sources
Implement Federation to scale graphs across microservices
Secure endpoints against complexity attacks and misuse
Optimize query performance with caching and batching

Skills You Will Gain

GraphQL Schema Design Apollo Server Resolver Logic Federation

Who Is This For

Backend Developers
Full Stack Engineers
API Architects

Prerequisites

Node.js API experience
Understanding of HTTP

GraphQL API Development FAQs

REST dead?

No, just different tools for different needs.

Database required?

GraphQL sits over any DB or API.

Frontend involved?

Yes, frontends love the flexibility.

Performance?

Can be faster, but requires N+1 optimization.

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