Postgraduate Certificate in Python Code for REST API: End-to-End Project

This course is designed for professionals and students with a basic understanding of Python who aim to develop skills in creating and consuming REST APIs. Participants will learn to build robust Python applications using frameworks like Flask and Django, and will gain hands-on experience in designing, implementing, and testing RESTful services.

Upon completion, learners will be able to design and implement end-to-end REST API projects, understand API design principles, and work confidently with HTTP methods and JSON data. The course culminates in a practical project that allows participants to apply their knowledge and create a functional API.

1. 1. Introduction to RESTful APIs: Learners will study the foundational concepts of RESTful APIs, including HTTP methods, resource identification, and API design principles. They will gain practical skills in creating and consuming simple RESTful APIs using Python.
2. 2. Python for Web Development: Learners will explore Python web frameworks such as Flask and Django, and understand how to use them to build RESTful APIs. They will gain skills in setting up web applications, handling HTTP requests, and managing data with databases.
3. 3. JSON and Data Serialization: This module covers the structure and syntax of JSON, essential for data exchange in REST APIs. Learners will learn how to serialize and deserialize Python data structures to JSON, and vice versa, using libraries like `json` and `marshmallow`.
4. 4. Authentication and Security in REST APIs: Learners will study various authentication mechanisms such as Basic Auth, OAuth2, and JWT. They will learn how to implement secure APIs, manage user authentication, and protect sensitive data.
5. 5. Handling Data with SQLAlchemy: This module focuses on using SQLAlchemy, a powerful ORM in Python, to interact with databases. Learners will learn to design database schemas, query data, and manage relationships between different data entities.
6. 6. Testing RESTful APIs: Learners will be introduced to testing strategies for REST APIs, including unit testing, integration testing, and end-to-end testing. They will gain skills in using tools like `pytest` and `requests` to write robust tests for their APIs.
7. 7. Advanced HTTP Concepts: This module covers more advanced HTTP concepts such as caching, rate limiting, and content negotiation. Learners will learn how to implement these features in their APIs to improve performance and usability.
8. 8. Deploying RESTful APIs: Learners will learn about deployment strategies for RESTful APIs, including containerization with Docker, and deployment on cloud platforms like AWS or Heroku. They will gain practical skills in setting up and managing production environments for their APIs.
9. 9. Monitoring and Logging REST APIs: This module covers essential monitoring and logging practices for maintaining the health and performance of RESTful APIs. Learners will learn to use tools like Prometheus, Grafana, and ELK stack for monitoring and logging.
10. 10. End-to-End Project: Building a Full-Stack REST API: In this final module, learners will work on a comprehensive project to build a full-stack REST API from scratch. They will integrate all the concepts and skills learned throughout the course, from API design to deployment, and will gain hands-on experience in creating a complete application.