The Week-by-Week Syllabus
This syllabus will guide you through essential topics in API Development & Integration, ensuring a deep understanding of each component.
Week 1: RESTful API Fundamentals
What to learn: Core principles of REST, HTTP methods, and status codes, using Flask.
Why this comes before the next step: Understanding RESTful principles lays the groundwork for creating efficient and scalable APIs.
Mini-project/Exercise: Build a simple CRUD application using Flask to manage a collection of books.
Week 2: Advanced Flask & Security
What to learn: Implementing JWT for authentication and securing endpoints in Flask.
Why this comes before the next step: Security is paramount; mastering authentication prepares you for more complex integrations.
Mini-project/Exercise: Enhance your CRUD application by adding a user authentication system using JWT.
Week 3: GraphQL Implementation
What to learn: Setting up a GraphQL server with Apollo Server and integrating with existing REST APIs.
Why this comes before the next step: Understanding GraphQL allows for more dynamic data retrieval techniques.
Mini-project/Exercise: Convert the previous CRUD application to support both REST and GraphQL endpoints.
Week 4: API Documentation & Testing
What to learn: Documenting APIs using Swagger and testing with Postman.
Why this comes before the next step: Well-documented APIs promote usability and ease of integration.
Mini-project/Exercise: Document the book application and create automated tests in Postman.
Week 5: Microservices Architecture & API Gateways
What to learn: Understanding microservices and implementing an API gateway using Kong.
Why this comes before the next step: Microservices require a different approach to API management that you must grasp for scalable applications.
Mini-project/Exercise: Break your book application into microservices and manage traffic using Kong.
Week 6: Performance Monitoring and Optimization
What to learn: Employing Prometheus and Grafana for API performance monitoring and optimization strategies.
Why this comes before the next step: Performance insights are crucial for maintaining high-quality APIs, ensuring reliability and user satisfaction.
Mini-project/Exercise: Set up monitoring for your API and analyze performance metrics, then implement optimizations based on findings.