Secure AI-Assisted Development: Privacy Best Practices

AI coding assistants can dramatically boost your productivity, but sending proprietary code or sensitive data to external servers poses significant security risks. This course guides you through the foundational concepts of privacy-conscious development, showing you how to harness the power of AI without compromising intellectual property or compliance standards. What you'll learn: - Understand the core privacy and security risks associated with public AI models and code generation tools. - Learn data masking and sanitization techniques to protect proprietary code and API keys before prompting. - Configure local, open-source LLMs using tools like Ollama to run coding assistants entirely offline. - Apply zero-trust principles and modern privacy policies to your daily development workflow. - Establish secure prompt engineering strategies that minimize data leakage risks. You will start by exploring essential terminology and foundational privacy frameworks, then progress through practical, text-based explanations and code examples to secure your development environment. This course is designed for beginner developers and software engineering teams looking to adopt AI tools safely, with no prior security background required. Start reading today to build smarter and write code securely with modern AI assistants.