AI Safety Engineering
Implement guardrails, red-team prompts, and build safer AI applications.
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After this skill you can…
- Implement input and output guardrails
- Red-team a deployed LLM application
- Use Llama Guard or NeMo Guardrails
Prerequisites
Watch (10 videos)
AWS AI Practitioner Practice Exam #4 — Fine-Tuning, Bias, Guardrails & Governance
→ Design AI systems with safety in mind→ Develop governance policies for AI
Auditable AI Tools: Scalable Governance for Next-Gen AI Systems
→ Design safe AI systems→ Conduct AI audits→ Develop explainable AI models
Claude has a serious privacy problem
→ Design and implement AI systems with privacy and security in mind→ Conduct risk assessments for AI-powered applications
Prompt Injection Explained: How AI Agents Get Tricked!
→ Implement safety controls→ Test AI systems for security risks
Building confidence in AI: Operationalizing orchestration in regulated enterprises
→ Design safe AI systems→ Implement AI governance→ Ensure AI compliance
AI went rogue in real life...
→ Design secure AI systems→ Implement containment protocols→ Develop strategies for mitigating AI security risks
Why Open Source AI is Gaining Traction
→ Identify potential safety risks in AI systems→ Develop strategies for mitigating risks
Anthropic warns About This AI could escape control!
→ Design AI safety systems→ Develop AI risk assessment frameworks→ Implement AI safety protocols
VSL International | Build a stronger safety culture through leadership | Bouygues Construction
→ Develop a safety leadership program→ Implement safety protocols→ Conduct risk assessments
ARC-AGI-3 Explained by the Team That's Winning It
→ Design safe AI systems→ Implement safety protocols in AI development
DeepCamp AI