Introduction to GraphQL (GQL101)
Course Length: 2 days
Delivery Methods:
Available as private class only
Course Overview
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.
Course Benefits
- Understand the fundamentals of GraphQL as a query language for APIs and a runtime for fulfilling queries.
- Gain proficiency in writing GraphQL queries.
- Learn how to implement GraphQL using JavaScript.
- Explore the tools and libraries available for working with GraphQL on the server-side and client-side, including Apollo Server, Apollo Client, AWS Amplify, and Relay.
- Develop the skills to design a GraphQL schema, define object types, query types, and mutation types.
- Master the art of writing resolvers to fetch data from different sources and efficiently resolve the values of fields in GraphQL queries.
- Understand the concepts of mutations and how to handle data modification operations in GraphQL.
- Apply best practices for schema design, versioning, performance optimization, and security considerations in GraphQL implementations.
- Gain hands-on experience through labs and practical exercises to reinforce the concepts learned throughout the course.
- Acquire the knowledge and confidence to build and consume GraphQL APIs in real-world development scenarios.
Course Outline
- Introduction to GraphQL
- What is GraphQL?
- GraphQL as a query language for APIs
- GraphQL as a runtime for fulfilling queries
- How Does GraphQL Work?
- Query structure and syntax
- Data shape matching
- Example query and response
- Implementing GraphQL with Various Programming Languages
- JavaScript and Node.js
- Go
- PHP
- Java
- Other supported languages
- Tools and Libraries for GraphQL
- Apollo Server
- Apollo Client
- AWS Amplify
- Relay
- Lab 1: Getting Started with Apollo Server
- Setting up Apollo Server
- Creating a basic GraphQL schema
- Writing resolvers for data fetching
- Exploring GraphQL Schemas
- Understanding object types, query types, and mutation types
- Anatomy of a type
- Basic data types and list types
- Query and Mutation Types
- Defining entry points to the schema
- Passing arguments to queries and mutations
- Lab 2: Using Apollo Studio
- Exploring Apollo Client
- Integrating Apollo Dev Tools for debugging and monitoring
- Utilizing Apollo Studio Explorer for schema design and testing
- Lab 3: Creating a Client
- Setting up a client-side application
- Connecting to data sources
- Querying and displaying data using Apollo Client
- Connecting to Data Sources
- Creating data sources for resolvers
- Fetching data from databases, APIs, and other sources
- Lab 4: Connecting to a Data Source
- Implementing data sources for resolvers
- Fetching data from a database or external API
- Creating Resolvers
- Understanding resolver functions and their role
- Implementing resolver functions for various fields
- Lab 5: Creating Resolvers
- Writing resolver functions for different fields in the schema
- Handling complex data fetching requirements
- Setting up the Server for Mutations
- Understanding mutations and their purpose
- Configuring the server to handle mutation operations
- Lab 6: Setting up the Server for Mutations
- Implementing mutation resolvers
- Testing mutation operations from the server
- Making Mutations from a Client
- Sending mutation requests from the client-side
- Handling response data and error handling
- Best Practices for GraphQL
- Keeping the schema simple and focused
- Versioning and evolution strategies
- Caching and performance optimization techniques
- Security considerations and best practices
- Summary and Conclusion
- Recap of key concepts and learnings
- Further learning resources
- Questions and discussion
Class Materials
Each student will receive a comprehensive set of materials, including course notes and all the class examples.
Class Prerequisites
Experience in the following is required for this Data class:
- Prior programming experience
Experience in the following would be useful for this Data class:
- JavaScript
- Node.js
Live Private Class
- Private Class for your Team
- Live training
- Online or On-location
- Customizable
- Expert Instructors