Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the development of autonomous AI agents for managing complex, multi-day medical treatment processes in this comprehensive workshop and case study. Learn how to build sophisticated telemedicine support systems that go far beyond basic chatbots, focusing on a real-world workflow developed by Stride in partnership with Avila for helping patients self-administer medication regimens at home. Discover how to construct hybrid systems combining code and prompts that leverage LLM decision-making to drive web applications, message queues, and databases using a technology stack including LangGraph/LangSmith, Claude, MCP, Node.js, React, MongoDB, and Twilio. Master the design and maintenance of flexible agentic workflow blueprints using accessible tools like Google Docs, and develop agent evaluation systems that employ LLM-as-a-judge methodology to assess interaction complexity and escalate to human support when necessary. Gain insights into prompt engineering guidelines and guardrails that help agents maintain protocol adherence while gracefully handling unexpected patient responses, with practical guidance on making agentic systems work effectively in real-world healthcare applications.
