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CodeSignal

Building a Personal Tutor Service With FastAPI

via CodeSignal

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Overview

Transform your tutoring AI into a scalable service using FastAPI! In this course, you’ll learn to build, test, and integrate all components into a cohesive FastAPI application. With DeepSeek powering your tutoring engine through the OpenAI SDK, you’ll deliver personalized academic support at scale.

Syllabus

  • Unit 1: Developing a Robust System Prompt for a Personal Tutor
    • Loading System Prompts from Files for Chatbot Conversations
    • Testing Error Handling for System Prompt Loading
    • Updating AI Tutor Support Information in System Prompt
    • Adding Guidelines to a Chatbot System Prompt
    • Adding Constraints to a System Prompt
    • Adding Requirements Section to Chatbot System Prompt
  • Unit 2: Building the Session Manager
    • Implement Session Creation and Retrieval Methods
    • Implementing Conversation Retrieval in the Session Manager
    • Implementing Message Addition in Session Manager
    • Adding Messages and Retrieving Conversations with SessionManager
  • Unit 3: Building the Tutor Service Layer
    • Implementing Session Creation in the Tutor Service
    • Implementing Query Processing for Tutor Service
    • Implement AI Response Generation with DeepSeek in TutorService
    • Testing Context Retention in AI Tutor Conversations
    • Creating Multiple Tutoring Sessions for a Student
  • Unit 4: Streamlining Student Interaction with Tutor Controller
    • Implementing Student Session Management in TutorController
    • Implementing the Create Session Method in TutorController
    • Implementing the send_query Method in TutorController
  • Unit 5: Serving Your Personal Tutor with a RESTful API Using FastAPI
    • Building a Simple FastAPI Welcome API
    • Implementing Session Management in FastAPI TutorController
    • Implementing a Tutoring Session Creation Route in FastAPI
    • Implementing the Send Query API Endpoint for the Tutor Service

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