AWS CDK with Python Step by Step

Learn to write infrastructure code with AWS Cloud Development Kit (CDK) v2 and Python from AWS-certified DevOps expert.
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AWS CDK with Python Step by Step
1 673
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6 hours
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Jun 2025
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$84.99
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Why take this course?

🚀 Course Title: AWS CDK with Python Step by Step

🎓 Course Headline: Unlock the Power of Infrastructure as Code with AWS Cloud Development Kit (CDK) v2 & Python - A Comprehensive Course by AWS-Certified DevOps Expert, Emre Yilmaz!


Welcome to Your Journey in AWS CDK with Python! 🌟

Embark on a transformative learning experience with our AWS CDK with Python Step by Step course. This course is meticulously designed to guide you through the process of writing infrastructure code using the cutting-edge AWS Cloud Development Kit (CDK) version 2 and the versatile programming language, Python.

📚 Course Overview:

By enrolling in this course, you will delve into the intricacies of AWS CDK concepts with hands-on examples that cover each topic comprehensively. This is an up-to-date curriculum that focuses on the latest version of AWS CDK, ensuring you receive the most relevant and practical knowledge.

Key Learning Outcomes:

  • Mastering the AWS CDK Construct Library: Learn to use L1, L2, and L3 constructs to define AWS resources, enhancing your solution's capabilities.
  • AWS CDK Toolkit Proficiency: Discover how to create, synthesize, and deploy CloudFormation stacks using the AWS CDK Toolkit.
  • Object-Oriented Programming with AWS CDK & Python: Configure AWS resources using Python, setting sensible defaults, adding related resources, managing permissions, leveraging metrics, allowing network connections, uploading assets to S3, and beyond.
  • Organizing Architecture with AWS CDK: Understand how to structure your AWS architecture by organizing it into multiple stacks, including cross-stack references or nested stack configurations.
  • AWS CDK Aspects for Compliance Checks: Learn to use AWS CDK aspects to perform compliance checks on your infrastructure before deployment, ensuring best practices and standards are met.
  • Testing with Pytest: Master unit testing your AWS CDK constructs with fine-grained assertions using the Pytest framework, enabling you to detect potential issues early in the development process.

👨‍💻 Instructor Expertise:

This course is crafted by Emre Yilmaz, a senior AWS architect and developer with a rich background in software engineering, cloud architecture, and education. Emre holds all Professional and Associate level AWS certifications since 2018, has a Bachelor of Science in Computer Engineering, a Master of Science in Financial Engineering, and boasts over 17 years of professional experience. As an AWS instructor, Emre has successfully taught AWS CloudFormation and AWS CodePipeline to more than ten thousand students.

Prerequisites for the Course:

  • Basic Python Programming Experience: A foundational understanding of Python is necessary as it's the language used in this course.
  • Terminal Skills: Some comfort with executing commands in a terminal will aid you in managing AWS resources.
  • Intermediate AWS Knowledge: An intermediate level of AWS knowledge is expected to fully grasp the examples and scenarios presented.
  • AWS Account: You'll need an active AWS free-tier account where you have admin privileges to work on real-world examples.

🎉 Additional Benefits:

While prior knowledge of AWS CloudFormation is advantageous, it is not mandatory as you will learn everything you need to understand and use AWS CDK effectively within this course.


🚀 Ready to Get Started?

Dive into the world of AWS infrastructure as code with our step-by-step guide. With practical examples and real-world applications, you'll be on your way to becoming a proficient AWS CDK developer using Python.

📹 Preview the Course:

Check out the free course previews available on the curriculum to familiarize yourself with Emre's engaging teaching style.

🎓 Enroll Now and embark on your path to mastering AWS CDK with Python! 🖥️✨

Course Gallery

AWS CDK with Python Step by Step – Screenshot 1
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udemy ID
25/04/2023
course created date
21/08/2023
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