11/09/2025
✨ Why PhD, M.Sc. (Statistics / Biostatistics) Students Should Look at Berkeley’s “Agentic AI” Course ✨
AI is moving fast—and the next big wave is Agentic AI: systems that don’t just answer questions, but plan, reason, and take actions. UC Berkeley’s upcoming course on Agentic AI (CS294/194-196) is designed right at this frontier.
If you’re pursuing an M.Sc. in Statistics or Biostatistics, here’s why this matters for you:
🔹 Bridge Theory & Practice – See how probability, inference, and modeling principles power real-world intelligent agents.
🔹 Boost Your Toolkit – Learn agentic applications like scientific discovery, web automation, and code-generation—skills valuable in healthcare, pharma, and data-driven research.
🔹 Learn from Global Leaders – Guest speakers from OpenAI, NVIDIA, DeepMind, and more bring frontline insights.
🔹 Hands-on Projects – Go beyond theory by building, testing, and showcasing working AI agents.
🔹 Think Beyond Models – Engage with the risks, ethics, and fairness issues of deploying AI in sensitive fields like medicine and public policy.
For Stat/Biostat grads, this is an incredible chance to pair your quantitative depth with cutting-edge AI systems knowledge—a combination that’s rare and highly sought after.
https://berkeleyrdi.substack.com/p/agentic-ai-weekly-berkeley-rdi-september-0d8
🚀 If you see your future in data science, healthcare AI, or advanced analytics, this course could be your launchpad into the next decade of opportunities.
New Agentic AI MOOC starts 9/15, DeepSeek preps a new agent, and OpenAI's new chip