AWS Security, Logging & DevOps for Data Engineers

Overview

The future of data engineering lies in building secure, scalable, and automated cloud solutions—and this course helps you master exactly that. AWS Security, Logging & DevOps is the data professional's guide to securing data pipelines, optimizing costs, and maintaining the productivity of data engineers using AWS services. From VPC, Route 53, and CloudFront to IAM, MFA, and KMS, you will learn how to build secure environments by default. You'll also get hands-on experience monitoring with CloudWatch, CloudTrail, and Config, as well as DevOps automation using CodeCommit, CodeBuild, CodeDeploy, CodePipeline, and CloudFormation. With demos, videos, and quizzes—it's not just theory; every concept is demonstrated in practice. You'll learn more than the basics— including how to protect data with encryption, Amazon Macie, and secrets management, as well as achieve ML integration with SageMaker—and become highly proficient on the job market. Whether you're a beginner or seasoned pro, this course falls in line with AWS certification paths and simply paves the way for high-demand careers that include cloud, DevOps, and data engineering. Enroll now and transform your AWS skills into career success. Disclaimer: AWS and Amazon Web Services are trademarks of Amazon.com, Inc. or its affiliates. This course is not affiliated with or endorsed by AWS.

Syllabus

AWS Network, Security & Access Control

Learn how to secure your AWS environment with VPC, IAM, and MFA. Master networking, access control policies, and data protection using KMS, Macie, and AWS WAF.

Monitoring, Logging & Automation

Gain skills in monitoring and logging with CloudWatch, CloudTrail, and Config. Learn to automate infrastructure and manage resources with CloudFormation and AWS Systems Manager.

Developer Tools, Machine Learning and Cost Optimization

Master cost management with AWS Budgets and Cost Explorer, and optimize AWS resources. Learn to automate deployments with AWS Developer Tools and explore machine learning using Amazon SageMaker.