This is the repository for the LinkedIn Learning course Handling Sensitive Data with Cloud and Local AI . The full course is available from LinkedIn Learning.
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.
This codebase is intended for educational use only. The examples in this repository should not be used in production (or high-stakes) environments.
Ronnie Sheer
Software Developer and Instructor
Check out my other courses on LinkedIn Learning.