After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Have you ever wished that your could chat with your database? This is now a possibility with LLMs and AI agents. In this course, you'll learn how to interact and chat with a MongoDB database instance, using LangGraph for agent orchestration. You'll learn about the challenges and value of text-to-query workflows, build your own to answer data-related questions about a movies dataset, and even implement memory checkpointing to pick up your conversations where they left off!
Prerequisites
Curriculum
Course outline
1
Text-to-Query Agents: Applications and Architecture
Learn how to build text-to-query agents so you can have conversations with your data!
2
Automating Text-to-Query Workflows with Agents
Make your text-to-query workflow agentic! Building and orchestrating AI agents with LangGraph will allow you to create smart and dynamic text-to-query workflows.
3
Adding Memory to the Agent
Integrate a short-term memory into your text-to-query agent so it doesn't have to re-run queries to combine insights.
Text-to-Query Agents with MongoDB and LangGraph
Course
Complete
