Move beyond simple chatbots and explore the foundational concepts behind AI agents, including reasoning, tools, and memory. In this recorded workshop, we go hands-on to build a MongoDB learning agent. You will see how to utilize Jupyter Notebook templates and pseudocode to guide your development process from concept to execution.
Key Takeaways:
- Understand the foundational pillars of AI agents: reasoning, memory, and tools
- Build production-grade agentic applications on the MongoDB data platform
- Develop controllable and reliable agentic workflows using LangGraph
- Access resources and templates to jumpstart your own agent development
The transition from passive apps to active agents is here. View this session on-demand to gain the technical expertise and resource kits needed to architect and deploy reliable agentic systems.
After you’ve watched the session, be sure to take our AI Agents With MongoDB skills check and earn a skill badge.
