Databricks AI Security Fundamentals
Databricks
Last updated June 30, 2026
Databricks AI Security Fundamentals is a free, one-hour course on the fundamentals of securing AI systems — a conceptual overview with no coding required. Across five modules it lays out how to think about the security of an AI system: the kinds of risk it carries and the principles for protecting it. The framing draws on the Databricks platform, but the core ideas travel beyond it, making this a compact orientation for anyone who needs to understand AI security without building anything. It's pitched at an intermediate level, assuming general familiarity with how AI systems work.
What you'll learn
- What makes AI systems a distinct security concern
- The kinds of risk an AI system carries
- Core principles for protecting an AI system
- A structured, five-module view of AI security fundamentals
- Security concepts framed on, but not limited to, the Databricks platform
Frequently asked questions about Databricks AI Security Fundamentals
Who is Databricks AI Security Fundamentals for?
Anyone with general familiarity with AI systems — technical or not — who wants a concise conceptual grounding in AI security.
Is Databricks AI Security Fundamentals free?
Yes — Databricks AI Security Fundamentals is completely free to take.
What are the prerequisites for Databricks AI Security Fundamentals?
General familiarity with AI systems; familiarity with Databricks is helpful. A free Databricks Academy account is required to start.
Why we suggest this course
A short, code-free orientation to securing AI systems, useful for technical and non-technical readers who need the concepts rather than an implementation. One thing to know: it's framed around Databricks and needs a free Academy account, though the underlying security principles apply more broadly than the platform.