Welcome to the Responsible AI with AWS Security and Governance Course!
In a world powered by AI, having responsible AI practices, security, and governance is essential. This AWS Certified AI Practitioner course prepares you to create AI systems that are ethical, explainable, and secure with the AWS tools and best practices. You'll explore key principles of responsible AI, model selection guardrails, and legal risks associated with generative AI. Learn how to implement AWS security measures, including IAM policies, data encryption, and compliance standards, to protect AI models. Gain hands-on experience with AWS services like Amazon Guardrails, Amazon A2I, and Macie for AI governance. Through hands-on exercises and real-life examples, you'll learn how to use AI responsibly while keeping security and compliance in mind. At the completion of this AWS AI Practitioner course, you will: Learn responsible AI principles, governance, and security best practices. Deploy AWS security solutions for AI model protection and compliance. Create AI models that are explainable, fair, and accountable. Focusing on Responsible AI with AWS Security and Governance, this intermediate-level course is made for learners who are studying for the AWS Certified AI Practitioner exam. However, people who want to learn are expected to have a prior understanding of AI/ML and AWS Cloud Fundamentals. Enroll now and build AI solutions that are ethical, secure, and trustworthy!
