New Amazon Web Services Skill Builder course available: Securing Generative AI on Amazon Web Services

Authors: Anna McAbee, Meg Peddada, Pablo Roesch |

To support our customers in securing their generative AI workloads on Amazon Web Services (Amazon Web Services), we are excited to announce the launch of a new Amazon Web Services Skill Builder course: Securing Generative AI on Amazon Web Services.

This comprehensive course is designed to help security professionals, architects, and artificial intelligence and machine learning (AI/ML) engineers understand and implement security best practices for generative AI applications and models in the Amazon Web Services Cloud.

Amazon Web Services Skill Builder is a learning center for Amazon Web Services customers and partners to build cloud skills through digital trainings, self-paced labs, and other course types. Amazon Web Services Skill Builder has a variety of Amazon Web Services security content to help customers understand concepts and gain hands-on experience with Amazon Web Services security.

The course highlights are as follows:

  • Introduction to the Generative AI Security Scoping Matrix – Learn how to categorize and secure different AI implementations by using this innovative framework.
  • Coverage of key AI security frameworks – Gain insights into the OWASP Top 10 for Large Language Models (LLMs) and the MITRE ATLAS framework.
  • Practical security strategies – Develop skills to implement comprehensive security across the areas of governance, legal, risk, controls, and resilience for various AI scopes.
  • Real-world applications – Apply security concepts to case studies covering consumer applications, enterprise solutions, pre-trained models, fine-tuned models, and self-trained models.

To take the new course

  1. Sign up for your free Amazon Web Services Skill Builder account.
  2. Search for “Securing Generative AI on Amazon Web Services” in the course catalog.
  3. Enroll in the course and start learning!

More information

For more information on generative AI security, we recommend reviewing our recent blog post series:

  • Securing generative AI: An introduction to the Generative AI Security Scoping Matrix
  • Securing generative AI: Applying relevant security controls
  • Securing generative AI: data, compliance, and privacy considerations

We value your feedback and contributions. If you have thoughts or insights about the course after completing it, please share them in the Comments section below or contact Amazon Support.

Anna McAbee Anna McAbee
Anna is a Security Specialist Solutions Architect focused on financial services, generative AI, and incident response at Amazon Web Services. Outside of work, Anna enjoys Taylor Swift, cheering on the Florida Gators football team, watching the NFL, and traveling the world.
Pablo Roesch Pablo Roesch
Pablo is a Technical Senior Product Manager at Amazon Web Services, managing Security and Cloud Operations Training portfolios. He leverages generative AI to revolutionize course development and go-to-market strategies, combining technical expertise with innovative approaches. Pablo holds a patent for External Communication with Packaged Virtual Machine Applications (US 11,7973,26 B2), reflecting his expertise in cloud and virtualization technology.
Meg Peddada Meg Peddada
Meg, a Senior Security Solutions Architect with over 10 years of experience, specializes in security, risk, and compliance. Her expertise spans governance, security automations, threat management, and architecture. In her spare time, she loves playing volleyball, arts and crafts, and finding new brunch experiences.

The mentioned AWS GenAI Services service names relating to generative AI are only available or previewed in the Global Regions. Amazon Web Services China promotes AWS GenAI Services relating to generative AI solely for China-to-global business purposes and/or advanced technology introduction.