Summary
Full Transcript
AWS Certified AI Practitioner Exam — Domain 5: Governance & Compliance for AI Systems Welcome to Video 14, the final video in our AWS Certified AI Practitioner series! In this session, we dive into governance and compliance regulations for AI systems. You’ll learn about global standards, AWS services for compliance, data governance strategies, and frameworks for responsible AI operations. 📚 In this video, you will learn: ✅ Key regulatory standards: ISO, SOC, algorithm accountability laws 🔍 AWS services for compliance: AWS Config, Amazon Inspector, Audit Manager, Artifact, CloudTrail, Trusted Advisor 📊 Data governance strategies: lifecycle management, logging, residency, retention ⚖️ Governance protocols: policies, review cadence, transparency standards, team training requirements 💡 Key Takeaways: Build secure, compliant, and trustworthy AI solutions using AWS tools and best practices. 📺 Watch Previous Videos: Explore the full series covering AI fundamentals, generative AI, AWS services, responsible AI, and security best practices. 🔔 Subscribe to stay updated with more tech content and ace your AWS Certified AI Practitioner exam! 👍 Like, Share, and Comment if this video helped you understand AI governance and compliance. #AWS #AIPractitioner #Governance #Compliance #MachineLearning #ArtificialIntelligence #AWSCertification #CloudComputing #ResponsibleAI
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