Handling Sensitive Data With Cloud And Local Ai
 

Learn how to handle sensitive data responsibly when working with cutting-edge AI solutions. Evaluate AI deployment options and apply safety frameworks that protect privacy.
Course details
In this comprehensive course, full-stack software developer, speaker, and Python enthusiast Ronnie Shear teaches you how to securely integrate AI solutions with sensitive data. Learn to evaluate trade-offs between cloud-based and on-premise inference platforms, ensuring your decisions align with strategic goals. Explore ways to implement data anonymization and security best practices to protect user privacy and comply with regulations. Discover strategies for building a robust AI safety framework to mitigate risks related to privacy, fairness, and misuse. Ideal for architects, decision-makers, and developers, this course empowers you to make informed choices about AI models and tools, employ an AI safety framework, enhance trust in your organization's AI systems, and safeguard your data assets.
Skills covered
Data Privacy, Responsible AI, Data Security, Artificial Intelligence (AI), AI for Cybersecurity