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Unclaimed ProfileThis comprehensive guide on Cloud Security on AWS with Generative AI bridges the critical gap between cutting-edge artificial intelligence and cloud infrastructure protection. Designed for security professionals, AWS cloud architects, and system administrators, this course explores how modern Generative AI models can be leveraged to fortify your AWS environment. Throughout the course, learners will unpack practical strategies for automating threat detection, optimizing Identity and Access Management (IAM) policies, and monitoring vulnerability databases using advanced AI utilities. Creator Hema Sundar Thulugu guides you through the nuances of using tools like Amazon Bedrock and AWS SageMaker to construct predictive defense systems and automate response playbooks. Whether you are aiming to streamline compliance audits, analyze massive cloudtrail logs with LLMs, or generate secure Infrastructure as Code (IaC) templates, this program equips you with actionable knowledge. Ultimately, this course empowers technical professionals to transition from manual, reactive security configurations to automated, AI-driven protective postures that secure modern cloud workloads against emerging threats.
About the creator
Hema Sundar Thulugu
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Hema Sundar Thulugu is a dedicated cloud security professional and technical educator specializing in securing Amazon Web Services (AWS) environments using modern technologies, including Generative AI. With years of hands-on experience navigating the complexities of cloud infrastructure, data protection, and compliance frameworks, Hema focuses on bridging the gap between theoretical security concepts and practical, real-world deployment. His teaching philosophy centers on demystifying advanced security architectures and showing professionals how to leverage cutting-edge AI tools to automate threat detection, manage vulnerabilities, and streamline incident response. In his courses, students don't just learn standard security checklists; they gain a deep understanding of…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Leverage Generative AI models on AWS to automate the analysis of CloudTrail and VPC Flow logs for rapid threat detection.
- Construct and refine secure Identity and Access Management (IAM) policies utilizing AI-driven natural language prompts.
- Integrate Amazon Bedrock with AWS security services to build intelligent, automated incident response playbooks.
- Use LLMs to audit Infrastructure as Code (IaC) files like Terraform or CloudFormation for misconfigurations and security vulnerabilities.
- Implement AI-assisted compliance mapping to continuously evaluate your AWS environment against frameworks like CIS, SOC2, and PCI-DSS.
- Design generative AI guardrails to ensure the safe and secure deployment of large language models inside your cloud infrastructure.
Best For
- AWS Cloud Architects looking to integrate AI into their security stack.
- Security engineers wanting to automate log analysis and threat detection.
- DevSecOps professionals seeking to audit infrastructure code with LLMs.
- Compliance officers aiming to use Generative AI for automated reporting.
Not For
- Absolute beginners with no prior knowledge of AWS platform fundamentals.
- Developers focused purely on app-level programming without cloud infrastructure responsibilities.
- Security professionals looking for theoretical AI research rather than practical cloud implementation.
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