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CodeSignal

Building a Personal Tutor Service With Flask

via CodeSignal

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Overview

Transform your tutoring AI into a scalable service using Flask! In this course, you’ll learn to build, test, and integrate all components into a cohesive Flask 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 Using Flask
    • Loading and Implementing a System Prompt for a Chatbot
    • Test System Prompt Error Handling
    • Update AI Tutor Support Hours and Contact Email
    • Adding Guidelines to an Educational Tutor System Prompt
    • Adding Constraints to a Chatbot System Prompt
    • Adding Requirements to a Chatbot System Prompt
  • Unit 2: Building a Session Manager for Tutoring Sessions
    • Implementing Session Creation and Retrieval Methods
    • Implementing the get_conversation Method for Session Management
    • Implementing Message Addition to Session Manager
    • Managing Conversation Messages in a Session
  • Unit 3: Building the Tutor Service Layer for a Personal Tutor Application
    • Implementing Session Creation for Personal Tutor Service
    • Implementing Query Processing in TutorService
    • Implementing AI Response Generation in Tutor Service
    • Testing AI Context Retention in Multi-Turn Conversations
    • Creating Multiple Independent Tutoring Sessions
  • Unit 4: Streamlining Student Interaction with Tutor Controller
    • Implementing Student Session Management in TutorController
    • Implement TutorController's create_session Method
    • Implementing the send_query Method in TutorController
  • Unit 5: Serving Your Personal Tutor with a RESTful API Using Flask
    • Creating a Basic Flask RESTful API
    • Implementing User Session Handling in Flask Tutor Controller
    • Implementing a Tutoring Session Creation Endpoint in Flask
    • Implementing a Query Endpoint for the Flask Tutoring API

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