AWS WAF, CloudFront, Lambda@Edge, and Terraform for Multi-Layered AI Bot Defense and Traffic Control
Sub Category
- Network & Security
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Objectives
- 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.
Pre Requisites
- AWS account, basic IAM knowledge, and Terraform installed.
- Familiarity with Docker and Python (basic Flask) is helpful.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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