AWS CDK with Python Step by Step

AWS CDK with Python Step by Step, available at $84.99, has an average rating of 4.78, with 39 lectures, based on 101 reviews, and has 1033 subscribers.

You will learn about Use AWS CDK v2 and Python to write infrastructure code efficiently to avoid human errors with automation while creating AWS resources. Understand the differences between L1, L2, and L3 (patterns) constructs to choose the most appropriate ones for your solution. Learn to use the AWS CDK Toolkit to create CDK applications, synthesize templates and deploy your stacks. Divide your AWS architecture into multiple CDK stacks to organize them more efficiently and launch more resources per stack. Learn to use AWS CDK Construct Library as a reference to find the constructs for your solution. Use L2 constructs and CDK patterns (L3) to create your AWS architecture with sensible defaults according to most used scenarios. Use L1 constructs to map CloudFormation resources one-to-one when needed. Use AWS CDK and Python to allow network connections, initialize EC2 instances, and upload S3 assets easily with object-oriented programming. Use AWS CDK aspects to perform compliance checks on your AWS infrastructure before deployment. Write unit tests for your constructs with CDK's fine-grained assertions and Pytest framework to detect the problems in your infrastructure earlier. This course is ideal for individuals who are Developers, system architects, and DevOps engineers who want to create AWS architecture with CDK and Python. or AWS CDK and Python developers who want to understand AWS CDK concepts better and use CDK more efficiently. or AWS CloudFormation developers who are curious about switching to Python to write infrastructure code. It is particularly useful for Developers, system architects, and DevOps engineers who want to create AWS architecture with CDK and Python. or AWS CDK and Python developers who want to understand AWS CDK concepts better and use CDK more efficiently. or AWS CloudFormation developers who are curious about switching to Python to write infrastructure code.

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Summary

Title: AWS CDK with Python Step by Step

Price: $84.99

Average Rating: 4.78

Number of Lectures: 39

Number of Published Lectures: 38

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 38

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

• Use AWS CDK v2 and Python to write infrastructure code efficiently to avoid human errors with automation while creating AWS resources.
• Understand the differences between L1, L2, and L3 (patterns) constructs to choose the most appropriate ones for your solution.
• Learn to use the AWS CDK Toolkit to create CDK applications, synthesize templates and deploy your stacks.
• Divide your AWS architecture into multiple CDK stacks to organize them more efficiently and launch more resources per stack.
• Learn to use AWS CDK Construct Library as a reference to find the constructs for your solution.
• Use L2 constructs and CDK patterns (L3) to create your AWS architecture with sensible defaults according to most used scenarios.
• Use L1 constructs to map CloudFormation resources one-to-one when needed.
• Use AWS CDK and Python to allow network connections, initialize EC2 instances, and upload S3 assets easily with object-oriented programming.
• Use AWS CDK aspects to perform compliance checks on your AWS infrastructure before deployment.
• Write unit tests for your constructs with CDK's fine-grained assertions and Pytest framework to detect the problems in your infrastructure earlier.

Who Should Attend

• Developers, system architects, and DevOps engineers who want to create AWS architecture with CDK and Python.
• AWS CDK and Python developers who want to understand AWS CDK concepts better and use CDK more efficiently.
• AWS CloudFormation developers who are curious about switching to Python to write infrastructure code.

Target Audiences

• Developers, system architects, and DevOps engineers who want to create AWS architecture with CDK and Python.
• AWS CDK and Python developers who want to understand AWS CDK concepts better and use CDK more efficiently.
• AWS CloudFormation developers who are curious about switching to Python to write infrastructure code.