What you’ll learn

• Confidently build Flask APIs that interact with databases.
• Implement data models using SQLAlchemy.
• Create well-structured and documented API endpoints.
• Utilize Docker for streamlined workflow management.

Requirements
No programming needed, everything will be provided.

Description
Master data creation & management with Flask APIs and a modern workflow. This project-based course delves into building a full-fledged Flask API application, empowering you to effectively create, manage, and serve dynamic data. By the end, you’ll have a robust API and the hands-on skills to tackle real-world data-driven projects.

What you’ll learn:

• Solid Foundations: Set up your Flask project, manage dependencies, and implement linting for professional code.
• Modern Containerisation: Leverage Docker to manage your database (PostgreSQL) and environment variables seamlessly.
• Structured & Scalable: Follow the Flask API factory pattern for a well-organized and maintainable project structure.
• Powerful ORM: Use SQLAlchemy to map your data models to the database and ensure seamless interaction.
• Data Modeling: Design and implement comprehensive models to represent your data entities effectively.
• Migrations & Version Control: Manage database schema changes using Alembic for a smoother workflow.
• API Construction: Build robust API endpoints using best practices, blueprints, and data validation with Marshmallow.
• Comprehensive Documentation: Integrate Swagger-UI to provide API documentation for easy consumption and usage.

Course Outline:

• Project Setup: Learn how to set up a Flask project, manage dependencies, and configure linting.
• Docker & Database: Discover containerisation with Docker, explore PostgreSQL setup, and effectively utilize environment variables.
• Flask API Factory: Understand the factory approach, implement the project structure, and configure the entry point.
• Models & Database: Dive into SQLAlchemy, design your data model, create models for various entities, and leverage Alembic for migrations.
• Building an API: Register blueprints, utilize Marshmallow for data validation, create your first API endpoint, and integrate Swagger-UI documentation.

Who should take this course:
Anyone new to Flask looking to take their first steps in building an API with Flask.

By the end of this course, you’ll be able to:

• Confidently build Flask APIs that interact with databases.
• Design and implement data models using SQLAlchemy.
• Create well-structured and documented API endpoints.
• Utilize Docker for streamlined workflow management.

Ready to create data-driven solutions with Flask APIs? Enroll today!

Who this course is for:
Anyone new to Flask looking to take their first steps in building an API with Flask.