Making a LLM Prediction Game with FastAPI | CodeSignal Learn

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intermediate

Making a LLM Prediction Game with FastAPI

Software Engineering

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3 courses

60 practices

7 hours

Build a Python-based LLM game with FastAPI, where players guess the model’s next word. Across three courses, you’ll create a daily-refreshed, Wordle-style game with a web frontend. Players earn points by predicting the LLM’s next word based on semantic similarity.

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

Back-End and API Development

INTERMEDIATE

Front-End Development

Tools you'll use

CSS

FastAPI

HTML

JavaScript

OpenAI

Python

spaCy

Course 1

Creating the base FastAPI Word Play Game Data

4 lessons

15 practices

This course walks learners through the foundation of the LLM prediction game: how the game works, how prompts are structured, how they are generated for each day, and how LLM responses are used and tokenized. By the end of this course, you’ll have a self-contained daily dataset powering the game logic.

Course 2

Enhancing the FastAPI Word Play Game with new functionalities

4 lessons

20 practices

Now that the base game logic is in place, this course introduces user interaction, semantic scoring, and a leaderboard system to bring competition and personalization into the experience. Learners will integrate server logic that connects the frontend with dynamic game behavior.

Course 3

Creating a frontend for the Word Play Game with FastAPI Templates

3 lessons

25 practices

This course introduces learners to the process of building a web interface for the LLM prediction game using HTML, CSS, and JavaScript. By the end, players can interactively play the game, submit guesses, see scores, and compete on a leaderboard.

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