Executive Development Programme in Flask and SQLAlchemy: Database Integration and ORM

This course is designed for IT professionals and software developers looking to enhance their skills in Flask and SQLAlchemy, focusing on database integration and Object-Relational Mapping (ORM). Participants will gain hands-on experience in setting up database models, optimizing data access, and managing relationships between database entities using Flask-SQLAlchemy.

Upon completion, learners will be adept at building robust web applications with Flask, leveraging SQLAlchemy's powerful ORM capabilities to streamline development and improve application performance.

1. 1. Introduction to Flask and SQLAlchemy: Learners will be introduced to Flask, a lightweight WSGI web application framework, and SQLAlchemy, a SQL toolkit and Object-Relational Mapping (ORM) system. They will gain foundational knowledge of setting up a Flask application and basic database operations using SQLAlchemy.
2. 2. Flask Application Structure and Routing: This module covers the structure of a Flask application, route handling, and request/response cycles. Learners will understand how to organize a Flask project and write efficient, maintainable routes.
3. 3. SQLAlchemy Core and Object-Relational Mapping (ORM): Learners will study the core features of SQLAlchemy, including how to define database tables and relationships. They will also learn how to use SQLAlchemy’s ORM to perform CRUD operations and handle database transactions.
4. 4. Database Schema Design and Migrations: This module focuses on designing database schemas and using Alembic for database schema migrations. Learners will learn to plan and implement database structures and manage changes over time.
5. 5. Advanced ORM Techniques: Learners will explore advanced ORM features such as query optimization, eager and lazy loading, and custom query construction. They will learn to write efficient and complex queries to retrieve data from the database.
6. 6. Flask-Session and Database Integration: This module covers session management in Flask and how to integrate it with a database. Learners will learn to store session data in a database and handle session-based authentication and authorization.
7. 7. Flask-SQLAlchemy Extensions: Learners will be introduced to various extensions that enhance Flask-SQLAlchemy, such as Flask-Migrate for database migrations and Flask-RESTful for building RESTful APIs. They will learn how to use these extensions to build robust applications.
8. 8. Security Best Practices for Flask and SQLAlchemy: This module covers security best practices for Flask and SQLAlchemy, including securing forms, handling sensitive data, and preventing SQL injection. Learners will learn to write secure code and protect against common vulnerabilities.
9. 9. Debugging and Profiling Flask Applications: Learners will learn how to debug and profile Flask applications to identify performance bottlenecks and fix issues. They will use tools like Flask-DebugToolbar and profilers to optimize application performance.
10. 10. Project: Build a Full-Stack Application: In this final module, learners will apply their knowledge by building a full-stack application using Flask and SQLAlchemy. They will design the database schema, implement CRUD operations, and enhance the application with additional features like user authentication and data validation.