Enterprise AI & Safety
Deploying reliable, robust, and ethical AI in high-stakes environments.
Modules5 Sessions
Duration16 weeks
Outcomes5 Skills
Course Overview
The final phase of our core curriculum bridges the gap between laboratory research and real-world deployment. You will learn to build enterprise-grade AI agents, implement safety guardrails against adversarial attacks, and navigate the complex legal and ethical landscape of AI safety. We focus on MLOps — the practice of maintaining and monitoring models in production — ensuring that your AI systems remain accurate, fair, and secure long after they are trained.
Tools & Technologies
LangChainVector DatabasesSafety GuardrailsLLM APIs
Curriculum
5 ModulesWhat You'll Learn
- Build autonomous agents using LangChain and RAG architectures
- Implement adversarial testing and jailbreak prevention
- Deploy models using scalable enterprise frameworks
- Establish model monitoring and drift detection systems
- Author rigorous AI safety and governance documentation
Prerequisites
- Deep Learning Foundations