This repository showcases example Bedrock Agents created for educational use cases.
- Data: Sample data that connects to the agents.
- Tools: Tools for agents to use.
- Production: Web UI and Bedrock agent integration.
- Name: Course Recommendation Agent
- Target Audience: Higher-Ed Student Advisors
- Sample questions: how many credits student 1 has earned? What courses are offerred this semester (202408) that's relevant to this student's major? Does this course conflict with student's schedule? What course do you recommend for student 1 to take this semester (202408)
- Prepare Data:
1.1 Structured data: Run the data-prep-course-recommendation-agent-short.ipynb
notebook Structured data preparation
section to prepare the tables.
1.2 Unstructured data: Run the data-prep-course-recommendation-agent-short.ipynb
notebook Unstructured data preparation
section to set up knowledge base.
-
Launch Agent: Run
course-recommendation-agent.ipynb
notebook to deploy the agent in your AWS account. -
Test Agent: Use the above sample questions to test agent.
- Description: Agent creating math questions with visual artifacts
- Target Audience: Math curriculum designer, Math content creator, instructors
- Sample questions: create a multiple-choice question testing 3rd grader's understanding of equivalent fraction. create a question asking the time of an analog clock.
Launch Agent: Run visual-math-agent.ipynb
notebook to deploy the agent in your AWS account.
- Description: Agent navigating course content to answer questions and making study plans.
- Target Audience: Students
This is a multi-agent collaboration architecture for Agent Example 1