Mindket

Unit 1 Quiz - AI Agent Fundementals

Newversion 1 · updated

Overview

Tests what you know about the basics of AI agents with a quiz whose questions come from a dataset, as part of the agents course. It suits learners working through the course.

Unit 1 Quiz - AI Agent Fundementals is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip
  • A terminal to run the commands
Runs in
  • A browser: open the Space's page on Hugging Face and nothing needs installing.
  • Windows, macOS or Linux: run your own copy with Python.
Start with
pip install -U huggingface_hub
hf download agents-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz
cd unit_1_quiz

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a quiz on the fundamentals of AI agents, made for the agents course. The app is a quiz over the rows of a dataset, and the Space names the unit_1_quiz dataset for its questions. It runs on cpu-upgrade hardware at Hugging Face.

Who it suits

It suits people taking the agents course who want to check what they learned in the first unit.

IndustryWho uses itHow they use itExample
EducationCourse studentsCheck what they learned in unit 1Answer the quiz after reading the unit
TeachingInstructorsPoint learners to a self-checkShare the Space with a study group
SoftwareDevelopersStudy a quiz app built on a datasetRead app.py and the example.json file

You can skip it if you have not started the course, since the quiz is about the first unit.

Where to use it

You can use it in these places:

  • A browser: open the Space's page on Hugging Face and nothing needs installing.
  • Windows, macOS or Linux: run your own copy with Python.
Use caseWhoWhat they get back
Self-checkCourse studentsA quiz on the agent fundamentals
Quiz app studyDevelopersA small Gradio app that turns dataset rows into questions

How to set it up

You need these first for a local copy:

  • Python and pip
  • A terminal to run the commands

The online page needs none of this. For your own copy, follow the steps below.

  1. Install the Hugging Face tools.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses, then the other packages.
  5. Start the app.
pip install -U huggingface_hub
hf download agents-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz
cd unit_1_quiz
pip install gradio==5.15.0
pip install -r requirements.txt
python app.py

How to use it

Open the Space in a browser, or start your own copy with the command below. Then work through the questions one by one.

python app.py

Example

You open the Space and read a question about agent basics. You pick your answer, and the app moves on to the next question taken from the dataset.

For newcomers and experts

If you are new to this, finish the first unit of the course, then take the quiz to see which parts you should read again.

If you know the field, the app is a generic quiz over dataset rows built with Gradio. The repository also holds a certificate PDF, two font files and a templates folder, and the Space names a certificates dataset, but the source does not explain how they are used.

  1. Open the quiz
  2. A question loads from the dataset
  3. You answer it
  4. The app moves to the next one

Good to know

The source describes the Space with one line, so details about scoring are not given.

  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the quiz and certificates datasets on Hugging Face

README and files

README

Unit 1 Quiz - AI Agent Fundementals

Tests what you know about the basics of AI agents with a quiz whose questions come from a dataset, as part of the agents course. It suits learners working through the course.

Made by agents-course on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a quiz on the fundamentals of AI agents, made for the agents course. The app is a quiz over the rows of a dataset, and the Space names the unit_1_quiz dataset for its questions. It runs on cpu-upgrade hardware at Hugging Face.

Who it suits: It suits people taking the agents course who want to check what they learned in the first unit.

Industry | Who uses it | How they use it | Example
Education | Course students | Check what they learned in unit 1 | Answer the quiz after reading the unit
Teaching | Instructors | Point learners to a self-check | Share the Space with a study group
Software | Developers | Study a quiz app built on a dataset | Read app.py and the example.json file

You can skip it if you have not started the course, since the quiz is about the first unit.

Where to use it: You can use it in these places:

  • A browser: open the Space's page on Hugging Face and nothing needs installing.
  • Windows, macOS or Linux: run your own copy with Python.
Use case | Who | What they get back
Self-check | Course students | A quiz on the agent fundamentals
Quiz app study | Developers | A small Gradio app that turns dataset rows into questions

How to set it up: You need these first for a local copy:

  • Python and pip
  • A terminal to run the commands

The online page needs none of this. For your own copy, follow the steps below.

  1. Install the Hugging Face tools.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Install Gradio at the version the Space uses, then the other packages.
  5. Start the app.
pip install -U huggingface_hub
hf download agents-course/unit_1_quiz --repo-type space --local-dir unit_1_quiz
cd unit_1_quiz
pip install gradio==5.15.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space in a browser, or start your own copy with the command below. Then work through the questions one by one.

python app.py

Example: You open the Space and read a question about agent basics. You pick your answer, and the app moves on to the next question taken from the dataset.

For newcomers and experts: If you are new to this, finish the first unit of the course, then take the quiz to see which parts you should read again.

If you know the field, the app is a generic quiz over dataset rows built with Gradio. The repository also holds a certificate PDF, two font files and a templates folder, and the Space names a certificates dataset, but the source does not explain how they are used.

Open the quiz
A question loads from the dataset
You answer it
The app moves to the next one

Good to know: The source describes the Space with one line, so details about scoring are not given.

  • License: apache-2
  • Cost to run: none named
  • Data it reaches: the quiz and certificates datasets on Hugging Face

On Hugging Face, 13 November 2026

  • Likes: 360
  • Built with: gradio
  • License: apache-2.0

Links

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

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Unit 1 Quiz - AI Agent Fundementals This page360gradioapache-2.0
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Unit 1 Quiz - Model Context Protocol (MCP) FundementalsShares gradio58gradioapache-2.0
Tamazight Text-to-SpeechShares gradio41gradiocc-by-4.0
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Numbers as Mindket last read them, on 2026-11-12.

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