Modern API Development: REST, GraphQL & gRPC

A warm welcome to Modern API Development: REST, GraphQL & gRPC course by Uplatz.

What is an API?

An API (Application Programming Interface) is a set of rules that allows one software application to communicate with another.

In simple terms, an API acts as a bridge between systems. It defines:

• How requests should be made

• What data format should be used

• What responses will be returned

It enables applications to talk to each other without exposing their internal implementation.

Simple Real-World Analogy

Think of an API like a restaurant waiter:

• You (client) place an order

• The waiter (API) takes your request to the kitchen (server)

• The kitchen prepares the food

• The waiter brings the response back to you

You never enter the kitchen. The API handles the communication.

How an API Works

Most modern APIs follow a request–response model.

1. Client Sends a Request

A client application sends a request to a server.
This request includes:

• Endpoint (URL)

• Method (GET, POST, PUT, DELETE)

• Headers

• Optional data (payload)

Example:
GET /users/123

2. Server Processes the Request

The server:

• Validates the request

• Applies business logic

• Retrieves or modifies data (often in a database)

3. Server Sends a Response

The server returns:

• Status code (200, 404, 500, etc.)

• Data (usually JSON)

Example response:

{

  "id": 123,

  "name": "John Doe"

}

Types of APIs

• REST APIs – Most common, use HTTP methods

• GraphQL APIs – Flexible data querying

• gRPC APIs – High-performance, binary protocol based

• WebSocket APIs – Real-time communication

Why APIs Are Important

APIs power almost everything today:

• Mobile apps talking to backend servers

• Payment gateways

• Cloud services

• Microservices communication

• AI model deployment

Without APIs, modern software ecosystems would not function.

In summary, an API is a structured way for software systems to communicate securely, efficiently, and predictably.

REST API

REST (Representational State Transfer) is the most widely used API architecture. It uses standard HTTP methods such as GET, POST, PUT, and DELETE to interact with resources. Each resource is accessed via a unique URL, and responses are typically returned in JSON format.

REST is simple, widely supported, and ideal for web and mobile applications. It works well for standard CRUD operations and is easy to understand and implement.

GraphQL

GraphQL is a query language for APIs that allows clients to request exactly the data they need. Instead of multiple endpoints like REST, GraphQL typically uses a single endpoint where the client specifies the structure of the response.

It reduces over-fetching and under-fetching of data and is particularly useful for complex applications where the frontend needs flexible and efficient data retrieval.

gRPC

gRPC is a high-performance RPC (Remote Procedure Call) framework developed by Google. It uses Protocol Buffers instead of JSON and communicates over HTTP/2, making it faster and more efficient than REST.

gRPC is commonly used in microservices architectures and distributed systems where performance, low latency, and strong typing are important.

Key Differences

• REST is resource-based and uses multiple endpoints. It is simple and widely adopted for web APIs.

• GraphQL is query-based and uses a single endpoint. It gives clients precise control over the data they receive.

• gRPC is method-based and focuses on performance. It uses binary serialization and is best suited for internal service-to-service communication.

In short, REST is simple and universal, GraphQL is flexible and efficient for complex data needs, and gRPC is optimized for speed and distributed systems.

With this Modern API Development: REST, GraphQL & gRPC course, design, build, and deploy modern production-ready APIs using REST, GraphQL, and gRPC.

APIs power everything from mobile apps and SaaS platforms to cloud-native microservices and distributed systems. This course gives you a complete understanding of modern API technologies and how to use them effectively in real-world backend architectures.

Whether you are building web services, designing microservices, or preparing for system design interviews, this course equips you with practical API engineering skills.

Why Learn API Development?

Modern applications depend on well-designed APIs for scalability, performance, and maintainability. Understanding when to use REST, GraphQL, or gRPC is a critical skill for backend engineers and architects.

This course helps you:

• Understand modern API architecture principles

• Build scalable REST APIs

• Design flexible GraphQL APIs

• Develop high-performance gRPC services

• Compare and choose the right API approach for different scenarios

• Deploy APIs using API Gateway strategies

What You Will Learn

• Fundamentals of modern API architectures

• REST API design and advanced implementation techniques

• GraphQL fundamentals and advanced schema patterns

• High-performance gRPC service development

• API comparison and architectural decision making

• API Gateway concepts and deployment strategies

• Build a complete capstone project: Unified Library Service

By the end of this course, you will be able to design and implement production-ready API systems confidently.

Hands-On and Practical

This is not a theory-only course. You will:

• Build working REST, GraphQL, and gRPC services

• Implement advanced features and best practices

• Compare API technologies through real examples

• Design a unified multi-protocol API system in the capstone project

The capstone project integrates everything you learn into a real-world API architecture scenario.

Who This Course Is For

• Backend developers mastering modern API technologies

• Full stack developers strengthening backend skills

• Cloud engineers working with distributed systems

• DevOps engineers deploying API services

• Software engineers preparing for system design interviews

• Computer science students targeting backend roles

Career Value

API development skills are essential for roles such as:

• Backend Developer

• Microservices Engineer

• Cloud Engineer

• Platform Engineer

• Software Architect

Modern enterprises rely on API-driven architectures. Understanding REST, GraphQL, and gRPC significantly strengthens your backend engineering and system design profile.

If you want to build scalable APIs, design modern service architectures, and confidently choose the right API technology for your applications, this course is for you.

Enroll now and start mastering modern API development.

Modern API Development: REST, GraphQL & gRPC - Course Curriculum

Module 1: Introduction to Modern API Architectures

• Session 1 – Introduction to Modern API Architectures

Module 2: REST API Fundamentals

• Session 2 – REST API Fundamentals

Module 3: Advanced REST API Development

• Session 3 – Advanced REST API Development

Module 4: Introduction to GraphQL

• Session 4 – Introduction to GraphQL - part 1

• Session 5 – Introduction to GraphQL - part 2

• Session 6 – Introduction to GraphQL - part 3

Module 5: Advanced GraphQL Concepts

• Session 7 – Advanced GraphQL Concepts - part 1

• Session 8 – Advanced GraphQL Concepts - part 2

• Session 9 – Advanced GraphQL Concepts - part 3

• Session 10 – Advanced GraphQL Concepts - part 4

• Session 11 – Advanced GraphQL Concepts - part 5

Module 6: Introduction to gRPC

• Session 12 – Introduction to gRPC - part 1

• Session 13 – Introduction to gRPC - part 2

• Session 14 – Introduction to gRPC - part 3

• Session 15 – Introduction to gRPC - part 4

• Session 16 – Introduction to gRPC - part 5

Module 7: Advanced gRPC

• Session 17 – Advanced gRPC - part 1

• Session 18 – Advanced gRPC - part 2

• Session 19 – Advanced gRPC - part 3

• Session 20 – Advanced gRPC - part 4

• Session 21 – Advanced gRPC - part 5

• Session 22 – Advanced gRPC - part 6

Module 8: Comparing REST, GraphQL, and gRPC

• Session 23 – Comparing REST, GraphQL, and gRPC - part 1

• Session 24 – Comparing REST, GraphQL, and gRPC - part 2

• Session 25 – Comparing REST, GraphQL, and gRPC - part 3

• Session 26 – Comparing REST, GraphQL, and gRPC - part 4

Module 9: API Gateway and Deployment

• Session 27 – API Gateway and Deployment - part 1

• Session 28 – API Gateway and Deployment - part 2

Module 10: Capstone Project – Unified Library Service

• Session 29 – Capstone Project: Unified Library Service - part 1

• Session 30 – Capstone Project: Unified Library Service - part 2