Instructor-led training

Introduction to GraphQL

This comprehensive course on GraphQL is designed to provide participants with a deep understanding of the GraphQL query language, its core concepts, and practical implementation techniques.

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What you'll learn

This comprehensive course on GraphQL is designed to provide participants with a deep understanding of the GraphQL query language, its core concepts, and practical implementation techniques. Through a combination of theoretical explanations, hands-on labs, and real-world examples, participants will gain the knowledge and skills needed to effectively design, build, and consume GraphQL APIs.

Prerequisites

Prior programming experience with JavaScript and Node.js is useful.

Course Outline

Introduction to GraphQL
1. What is GraphQL?
2. GraphQL as a query language for APIs
3. GraphQL as a runtime for fulfilling queries
How Does GraphQL Work?
1. Query structure and syntax
2. Data shape matching
3. Example query and response
Implementing GraphQL with Various Programming Languages
1. JavaScript and Node.js
2. Go
3. PHP
4. Java
5. Other supported languages
Tools and Libraries for GraphQL
1. Apollo Server
2. Apollo Client
3. AWS Amplify
4. Relay
Lab 1: Getting Started with Apollo Server
1. Setting up Apollo Server
2. Creating a basic GraphQL schema
3. Writing resolvers for data fetching
Exploring GraphQL Schemas
1. Understanding object types, query types, and mutation types
2. Anatomy of a type
3. Basic data types and list types
Query and Mutation Types
1. Defining entry points to the schema
2. Passing arguments to queries and mutations
Lab 2: Using Apollo Studio
1. Exploring Apollo Client
2. Integrating Apollo Dev Tools for debugging and monitoring
3. Utilizing Apollo Studio Explorer for schema design and testing
Lab 3: Creating a Client
1. Setting up a client-side application
2. Connecting to data sources
3. Querying and displaying data using Apollo Client
Connecting to Data Sources
1. Creating data sources for resolvers
2. Fetching data from databases, APIs, and other sources
Lab 4: Connecting to a Data Source
1. Implementing data sources for resolvers
2. Fetching data from a database or external API
Creating Resolvers
1. Understanding resolver functions and their role
2. Implementing resolver functions for various fields
Lab 5: Creating Resolvers
1. Writing resolver functions for different fields in the schema
2. Handling complex data fetching requirements
Setting up the Server for Mutations
1. Understanding mutations and their purpose
2. Configuring the server to handle mutation operations
Lab 6: Setting up the Server for Mutations
1. Implementing mutation resolvers
2. Testing mutation operations from the server
Making Mutations from a Client
1. Sending mutation requests from the client-side
2. Handling response data and error handling
Best Practices for GraphQL
1. Keeping the schema simple and focused
2. Versioning and evolution strategies
3. Caching and performance optimization techniques
4. Security considerations and best practices
Summary and Conclusion
1. Recap of key concepts and learnings
2. Further learning resources
3. Questions and discussion

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