AWS Cloud9 and Python: A Practical Guide

• Basic knowledge of Python programming
• Experience with cloud-based environments is a plus

Audience

• Python developers
• Software engineers

AWS Cloud9 is a cloud-based integrated development environment (IDE) that allows for efficient Python development, debugging, and deployment. This course introduces participants to setting up, managing, and deploying Python applications using AWS Cloud9, providing hands-on experience in a collaborative environment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

By the end of this training, participants will be able to:

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AWS Cloud9 and Python Development

• Overview of AWS Cloud9 features
• Setting up and configuring AWS Cloud9 for Python
• Familiarizing with the Cloud9 IDE

Development in AWS Cloud9

• Writing Python code in the cloud
• Using development tools within AWS Cloud9
• Understanding Python packages and dependencies in Cloud9

Debugging and Testing Python Applications

• Using Cloud9's debugging tools
• Writing unit tests for Python applications
• Integrating with CI/CD pipelines

Deploying Python Applications

• Deploying applications to AWS services (Lambda, EC2, etc.)
• Automating deployments using Cloud9 tools
• Monitoring and scaling Python applications

Collaboration in AWS Cloud9

• Collaborating in real-time with other developers
• Managing source control within AWS Cloud9 (Git)
• Code reviews and project sharing in Cloud9

Integrating AWS Cloud9 with Other AWS Services

• Working with AWS Lambda functions in Cloud9
• Managing S3 storage in Cloud9
• Deploying serverless applications from Cloud9

Advanced AWS Cloud9 Features

• Automating workflows using AWS CloudFormation
• Creating custom IDE configurations in Cloud9
• Using AWS SDKs for Python (Boto3) in Cloud9

Security Best Practices in AWS Cloud9

• Managing access control and permissions
• Securing Python applications deployed through Cloud9
• Using AWS IAM roles for secure deployment

Summary and Next Steps