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Learn to use paginators, filters, and waiters to optimize AWS automation workflows
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Work with real-time examples like controlling EC2 instances and interacting with S3
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Automate the creation of IAM users, attach policies, and manage credentials for secure cloud operations
Automating AWS operations is essential for efficient cloud management, and this course teaches you how to use Python and Boto3 to simplify AWS tasks. It starts with setting up environments across different platforms (Windows, Linux, macOS), providing the groundwork for executing Python scripts that interact with AWS services. You’ll dive into key Boto3 concepts like sessions, clients, and resources, laying a solid foundation for automation.
As the course progresses, you'll tackle advanced topics, including CRUD operations, waiters, and paginators, which allow you to optimize AWS workflows. With practical examples such as managing EC2 instances, retrieving IAM user details, and interacting with S3 buckets, you’ll gain hands-on experience in managing AWS resources. Additionally, you'll learn exception handling and how to filter and paginate large datasets effectively.
By the end of this course, you will have the skills to automate AWS tasks like launching EC2 instances, managing IAM users, and performing complex cloud management. Whether you're just starting or looking to refine your automation skills, this course will equip you with the knowledge to confidently work with AWS using Python and Boto3 for seamless cloud automation.
This course is designed for cloud engineers, Python developers, AWS administrators, and IT professionals who want to automate and manage AWS resources efficiently. It’s perfect for individuals with basic knowledge of AWS and Python, but no prior experience with Boto3 is required. Whether you're a beginner or experienced professional, this course will enhance your ability to automate AWS tasks, improve cloud resource management, and streamline operations with Python and Boto3.
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Develop proficiency in managing AWS resources like EC2, IAM users, and S3 buckets using Python scripts
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Write custom scripts to perform CRUD operations on AWS resources
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Use paginators and filters to optimize data retrieval in AWS operations
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Implement error handling and exception management in Boto3 scripts for robust automation
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Automate the launch and management of EC2 instances, including state control and modification
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Execute Python scripts directly on EC2 instances using IAM role permissions
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