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)
AI went rogue in real life...
→ Design secure AI systems→ Implement containment protocols→ Develop strategies for mitigating AI security risks
Responsible AI in Action: From Principles to Real‑World Engineering | DEM369
→ Apply safety filters to AI models→ Monitor AI risk in production
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
Why Open Source AI is Gaining Traction
→ Identify potential safety risks in AI systems→ Develop strategies for mitigating risks
Anthropic Sounds AI Alarm
→ Design safety protocols for AI systems→ Develop strategies for human-AI collaboration→ Analyze potential risks of autonomous AI training
People Drove Into Lakes Trusting GPS — AI Is Worse
→ Design safer AI systems→ Mitigate AI risks→ Implement human oversight
Google s New AI Roadmap Reveals What Could Come Beyond AGI
→ Design Safe AI Systems→ Implement AI Safety Protocols→ Evaluate AI Safety Risks
Building confidence in AI: Operationalizing orchestration in regulated enterprises
→ Design safe AI systems→ Implement AI governance→ Ensure AI compliance
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