Postgraduate Certificate in Python Application Deployment: Hands-On Techniques

This course is designed for software developers, data scientists, and IT professionals with some programming experience looking to specialize in Python application deployment. Participants will gain hands-on skills in deploying Python applications across various environments, including cloud services and local servers, using Docker, Kubernetes, and continuous integration/continuous deployment (CI/CD) pipelines.

By the end of the course, attendees will be able to design, implement, and manage robust deployment strategies for Python applications, ensuring high performance and reliability. Practical assignments and real-world projects will prepare learners to confidently deploy their applications in diverse and scalable environments.

1. 1. Introduction to Python Application Deployment: Learners will gain an understanding of the basics of Python application deployment, including packaging, distribution, and the deployment environment setup. Practical skills include creating a basic Python package and deploying it locally.
2. 2. Virtual Environments and Dependency Management: This module covers the use of virtual environments and tools for managing dependencies in Python projects. Learners will learn to set up and manage virtual environments and ensure consistent project dependencies.
3. 3. Web Application Deployment with Flask: Learners will explore deploying web applications using Flask, a lightweight WSGI web application framework. Practical skills include creating a Flask application, deploying it using Gunicorn, and setting up a basic server configuration.
4. 4. Containerization with Docker: This module introduces learners to containerization using Docker. Practical skills include building Docker images, running Docker containers, and managing containerized applications.
5. 5. Cloud Deployment with AWS: Learners will learn to deploy Python applications on AWS, including setting up EC2 instances, S3 storage, and deploying applications using AWS Elastic Beanstalk. Practical skills include configuring and deploying a web application on AWS.
6. 6. Continuous Integration/Continuous Deployment (CI/CD) with Jenkins: This module covers setting up and using Jenkins for CI/CD pipelines in Python application deployment. Practical skills include creating Jenkins jobs, configuring pipelines, and automating deployment processes.
7. 7. Monitoring and Logging Python Applications: Learners will explore monitoring and logging techniques for Python applications. Practical skills include setting up logging with Python, configuring monitoring tools, and analyzing application performance.
8. 8. Advanced Deployment Techniques: This module delves into advanced deployment strategies, including load balancing, auto-scaling, and container orchestration with Kubernetes. Practical skills include setting up load balancers, configuring auto-scaling policies, and deploying applications with Kubernetes.
9. 9. Security in Python Application Deployment: Learners will study security considerations for deploying Python applications, including authentication, authorization, and secure coding practices. Practical skills include implementing secure server configurations and integrating security into deployment workflows.
10. 10. Case Studies and Best Practices: This module presents real-world case studies and best practices in Python application deployment. Learners will analyze successful deployment strategies and learn how to apply them to their own projects. Practical skills include planning and executing a comprehensive deployment strategy.