Stay ahead by continuously learning and advancing your career. Learn More

AWS Automation

Practice Exam, Practice Exam, Video Course
Take Free Test

AWS Automation

AWS Automation FAQs

AWS automation allows cloud engineers and developers to manage AWS services efficiently without manual intervention. By using Boto3 (AWS SDK for Python) and AWS Lambda, you can automate repetitive cloud tasks, optimize resource management, and reduce human error.

Common AWS automation use cases include:

  • Starting and stopping EC2 instances based on schedules.
  • Managing IAM roles and permissions automatically.
  • Automating S3 storage tasks, such as backup and cleanup.
  • Triggering alerts for AWS resource status changes.
  • Optimizing AWS cost management through scheduled resource scaling.

By automating AWS tasks, businesses can improve efficiency, enhance security, and reduce operational costs.

 

This course equips you with the skills required for cloud automation roles, opening doors to various career opportunities, including:

  • Cloud Engineer
  • AWS Developer
  • DevOps Engineer
  • Automation Engineer
  • Infrastructure Engineer
  • Solutions Architect
  • Site Reliability Engineer (SRE)

AWS automation skills are in high demand as companies move towards cloud-native and serverless architectures.

No, but having a basic understanding of AWS services like EC2, S3, and IAM will be beneficial. This course starts with foundational concepts and gradually moves towards advanced automation techniques.

If you have prior knowledge of Python programming, it will help you grasp the concepts faster.

AWS automation is widely used across multiple industries, including:

  • Tech & Software Development – Automating cloud deployments, managing storage, and securing applications.
  • Finance & Banking – Automating cloud security and compliance.
  • Healthcare & Pharmaceuticals – Managing data securely in AWS cloud storage.
  • Retail & E-commerce – Optimizing cloud resources for high-traffic applications.
  • Manufacturing & Supply Chain – Automating cloud-based inventory and logistics tracking.
  • Telecommunications – Managing cloud networks and scaling services dynamically.

AWS automation helps businesses increase efficiency, lower operational costs, and improve scalability.

The time required depends on your learning pace and background:

  • Basic understanding of AWS services – 1-2 weeks.
  • Learning Boto3 and writing basic scripts – 2-4 weeks.
  • Mastering AWS Lambda functions – 3-5 weeks.
  • Building real-world automation use cases – 5-8 weeks.

With consistent practice, most learners can gain proficiency in AWS automation within 2-3 months.

AWS Lambda is a serverless compute service that allows you to run Python scripts automatically in response to AWS events.

With Boto3 inside AWS Lambda, you can:

  • Trigger actions based on CloudWatch events.
  • Manage AWS services (EC2, S3, IAM, etc.) without a dedicated server.
  • Reduce costs by executing code only when needed.
  • Automate repetitive cloud operations seamlessly.

For example, a Lambda function with Boto3 can be used to automatically stop unused EC2 instances to reduce AWS costs.

India:

  • Entry-level (0-2 years): ₹6 - ₹12 LPA
  • Mid-level (3-6 years): ₹15 - ₹25 LPA
  • Senior-level (7+ years): ₹30 - ₹50 LPA

United States:

  • Entry-level: $80,000 - $100,000 per year
  • Mid-level: $110,000 - $140,000 per year
  • Senior-level: $140,000 - $180,000 per year

Salaries vary based on experience, AWS certifications, and expertise in automation tools like Boto3 and Lambda.

 

Concept Description
Sessions Manage AWS credentials and configurations for script execution.
Waiters Monitor and track changes in AWS resources (e.g., EC2 instance state).
Paginators Handle large datasets by retrieving AWS data in multiple API calls.

 

Using sessions, waiters, and paginators ensures that your automation scripts run efficiently, handle errors properly, and process large datasets smoothly.

This course provides strong foundational and advanced skills in AWS automation. However, to increase job opportunities, you should also:

  • Work on real-world AWS automation projects.
  • Gain AWS certifications (AWS Certified Developer, AWS Certified SysOps Administrator, etc.).
  • Practice DevOps tools like Terraform, Ansible, and AWS CloudFormation.

With hands-on experience, you can confidently apply for cloud automation roles in top companies.

 

AWS Lambda follows a pay-as-you-go model, meaning you only pay for the execution time of your scripts.

By automating AWS resource management:

  • Unused EC2 instances can be shut down automatically to save costs.
  • S3 bucket storage can be optimized by deleting unused files periodically.
  • IAM role assignments can be managed dynamically to enhance security.

Automation helps businesses minimize cloud expenses and optimize resource utilization.