DevSecOps on AWS: Defend Against LLM Scrapers & Bot Traffic

What you'll learn

• How CloudFront caching works and how to learn machine learning essentials build intelligent models, bot-aware delivery flows

Requirements

• An active AWS account

Short description

This course teaches you how to survive — and win — in the new era of AI bots, crawlers, scrapers, and automated traffic.

Today bots consume an enormous portion of API, web, and CDN traffic.
They cost money, distort analytics, break cache logic, and overload your application.
And traditional protections are no longer enough.

This course gives you a complete, practical, battle-tested system to handle AI bots with intelligence, not brute force.

Section 1 — Understanding the New Threat Landscape

We begin from the strategic level:

Why AI bots became a real business threat, what their objectives are, how bot traffic harms your free azure infrastructure microsoft cloud for sovereignty intro course, and how to think about long-term defense.

You will also get a high-level architecture overview — the big picture of CloudFront, WAF, degraded content, and routing logic.

Section 2 — Flask Test Application & Terraform Preparations

Before we defend anything, we need something to protect.

You will create a tiny Flask API app, run it locally, understand its behavior, then prepare Terraform, AWS profiles, and ECR to deploy it later in the cloud.

Section 3 — Full Application Deployment Using Terraform

This is the heart of the infrastructure setup.

You will:

• Build networking components

This creates the full “lab environment” used for all bot routing experiments in the later sections.

Section 4 — Autoscaling & Real AI Bot Cost Surprises

We explore what happens when bots hit your infrastructure at scale.

You will see real examples of traffic spikes, CPU burns, cost explosions — and learn why AI bots require a different approach than traditional crawlers.

We also discuss AWS Fargate and show a real commercial example of bot impact.

Section 5 — Intelligent Traffic Routing with CloudFront

This is where the course becomes truly unique.

You will learn:

• How CloudFront actually works at request level

By the end, your CloudFront distribution becomes a smart, bot-sensitive traffic router.

Section 6 — AWS WAF: Protecting Against AI Crawlers & Automated Bots

We go deep into WAF from both defensive and analytical perspectives:

• WAF basics and how it actually inspects traffic

This section connects CloudFront & WAF into a unified defensive system.

Section 7 — Strategic Bot Policy & AI/Bot Traffic Analysis Using Athena

This is the analytical and strategic peak of the course.

You will learn how to extract real bot traffic from your logs, build a complete Bot Identification Report, and use it to craft a concrete bot defense strategy.

• Generating the Bot Identification Report using Athena + real production data samples

We finish with a clear framework that you can apply in any real-world environment — cloud or on-premise.

Who this course is for

Anyone responsible for web applications, learn karate framework api ui performance using gatling ai, gcp professional cloud security engineer mock exams tests, or cost optimization:

• Software Engineers

If you want a practical, battle-tested, deep-technical, and fully reproducible defense methodology against AI bots — this course is for you.