AI Alignment Basics
Understand the alignment problem, RLHF, and what safe AI development means.
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After this skill you can…
- Explain the alignment problem
- Describe RLHF and Constitutional AI
- Identify common failure modes in deployed LLMs
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AI Governance for Business Leaders (NEW COURSE!)
→ Understand AI Governance Basics→ Deploy AI Responsibly→ Sustain AI Adoption
Anthropic is saving us behind the scenes
→ Understand AI safety basics→ Identify dual-use technology risks→ Recognize the importance of safety measures in AI development
AI is so much more than generative models
→ Understand the ethics of AI→ Recognize the limitations of generative models→ Apply AI to social situations
AWS AI Practitioner Practice Exam #4 — Fine-Tuning, Bias, Guardrails & Governance
→ Understand AI safety basics→ Identify bias in AI systems→ Implement guardrails for AI governance
Stanford Leadership Institute | Forum 2026
→ Understand AI consequences→ Develop accountable AI systems→ Implement value-based decision making
Auditable AI Tools: Scalable Governance for Next-Gen AI Systems
→ Implement auditable AI tools→ Build transparent AI systems→ Ensure AI compliance
Claude has a serious privacy problem
→ Identify potential AI safety risks→ Implement technical SEO measures to prevent privacy issues→ Understand the importance of no-index tagging for sensitive information
Building confidence in AI: Operationalizing orchestration in regulated enterprises
→ Build trustworthy AI systems→ Operationalize AI orchestration→ Ensure AI reliability
AI went rogue in real life...
→ Understand AI safety protocols→ Identify potential security risks in AI systems→ Develop strategies for containing AI models
It Begins: An AI Tried to Escape the Lab
→ Understand AI safety basics→ Recognize AI risks→ Align AI with human values
DeepCamp AI