Free course material
Design controls that fail safely.
GenAI Guardrails
Learn how to design, implement, evaluate, and operate layered guardrails for generative AI applications and tool-using agents.
What this course is about
A practical path from understanding to application.
Guardrails are more than prompts or content filters. This course treats them as a layered system of policy, validation, authorization, recovery, human oversight, and continuous evaluation. Learners move from first principles through practical scenarios, adversarial testing, agent controls, and the operational evidence needed to keep AI systems within an intended operating envelope.
Covered material
What learners will work through.
- Guardrail foundations, threat models, operating envelopes, and defense in depth
- Input, retrieval, dialog, tool, model, output, and operational control layers
- Scenario recipes for RAG, coding agents, business agents, sensitive data, and regulated use
- Policy decisions, safe failure behavior, permissions, approvals, escalation, and recovery
- Evaluation, calibration, adversarial testing, red teaming, observability, and drift
- Agent and tool capstone work plus a provider-neutral guardrail technology selection method
Who it is for
Meet learners where they are.
Engineers, product teams, security practitioners, architects, governance leads, and technical decision-makers responsible for building or operating generative AI applications and agents.
Adapt this course
Bring the material to your organization.
We can adapt the level, examples, exercises, and pace for executives, non-technical groups, technical teams, or mixed audiences. Sessions combine theory with practical and coding work where it fits, led by educators who meet with your group.
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AI governance & technical leadership
Connect open learning with the strategy, delivery, and adoption support around it.