A DataCamp course on the security challenges specific to AI systems — model risks and the need for continuous monitoring, external threats, secure AI development, and risk-assessment frameworks. A timely, accessible orientation for people building or governing AI who need to think about its distinct risks.
Good for: Understanding the security and risk challenges specific to AI.
Less suitable if: You want general security, or deep technical AI-security engineering.
Skills you'll gain
AI securityRisk managementModel riskAI governanceSecure AI developmentMonitoring
Is this course right for you?
A good fit if you…
You build or govern AI systems
You want AI-specific security awareness
You care about model risk
Consider something else if you…
You want general security
You want deep AI-security engineering
You do not work with AI
Requirements: Some AI familiarity helps.
Realistic time: Around 2 hours.
About this course
AI Security and Risk Management addresses security challenges specific to AI systems: model risks (and the need for continuous monitoring), external threats, secure AI development practices, and risk assessment frameworks including the EU AI Act. It closes by connecting AI security to business strategy — treating it as a strategic asset rather than a technical afterthought — and building a security-aware culture.
What you'll learn
Identify security risks specific to AI systems
Distinguish internal model risks from external AI threats
Apply secure AI development practices
Understand AI risk assessment frameworks, including the EU AI Act
Align AI security efforts with business strategy and goals
Build a security-aware culture around AI within an organization
This course includes
1h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription.
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