Cloud Security and DevSecOps with AWS

Posted 4 hours 15 minutes ago by Starweaver

Study Method : Online
Duration : 4 weeks
Subject : IT & Computer Science
Overview
Defend against AI bots with AWS DevSecOps! Master WAF, CloudFront, Lambda@Edge, and Terraform through hands-on labs.
Course Description

Create and maintain secure, resilient cloud systems with DevSecOps

How do you protect cloud applications when AI-driven bot traffic can overwhelm systems in seconds?

And why do traditional security measures often fail to keep up?

On this online course, you’ll explore modern cloud security engineering and DevSecOps practices, learning how to design, deploy, and defend scalable applications using AWS.

Over four weeks, you’ll build practical skills in infrastructure, security, and intelligent traffic management, applying industry-relevant tools and techniques to real-world scenarios.

Understand the modern AI bot threat landscape

You’ll begin by exploring the rise of AI-powered bots and the challenges they pose to cloud infrastructure.

Through a practical setup, you’ll configure a local development environment, working with tools like Flask, Terraform, Docker, and AWS credentials to prepare for secure deployment.

Along the way, you’ll examine why traditional defences fall short and how layered security strategies provide more effective protection.

Deploy and secure cloud infrastructure on AWS

Next, you’ll move into production, deploying a full cloud environment using Terraform.

You’ll build and configure core infrastructure, including networking, compute, and scaling systems, before adding CloudFront and AWS WAF for edge delivery and protection.

You’ll also explore the limits of auto-scaling and understand why scaling alone isn’t enough to defend against unpredictable traffic spikes.

Optimise traffic and enforce intelligent security policies

Finally, you’ll transform your system into a bot-aware, security-driven architecture.

On this dynamic course, you’ll learn how to route traffic intelligently using CloudFront, implement caching strategies, and use Lambda@Edge to separate bot and human experiences.

This course is for developers, cloud engineers, and DevOps professionals looking to build cloud security and DevSecOps skills. It’s also ideal for those interested in AWS, infrastructure automation, and protecting systems from modern bot threats.

Requirements

This course is for developers, cloud engineers, and DevOps professionals looking to build cloud security and DevSecOps skills. It’s also ideal for those interested in AWS, infrastructure automation, and protecting systems from modern bot threats.

Career Path
  • Analyze the AI bot threat landscape and set up a local Flask application with Terraform tooling.
  • Deploy production AWS infrastructure with Terraform: VPC, ALB, CloudFront, WAF, and EC2 auto scaling groups.
  • Implement intelligent traffic routing, cache separation, and degraded content with CloudFront and Lambda@Edge.
  • Configure advanced WAF protections, analyze logs with Athena, and enforce a data-driven strategic bot policy.