Artificial intelligence and Python

1. Training Title
AI & Python for FAQ
Learn how to design, train, test, and publish an intelligent FAQ application with Python, in order to automatically answer frequently asked questions for a company, service, project, school, or organization.

2. Tagline
A highly practical training program to learn how to use Python and artificial intelligence in a useful, simple, and immediately marketable way.
Here, the learner does not only discover AI. They learn how to build a concrete work tool: an intelligent FAQ system capable of answering frequent questions automatically.

3. Training Objective
This training aims to equip learners with the ability to develop an intelligent FAQ application with Python, from preparing the question-and-answer database to publishing a usable web interface online.

4. Target Professional Skill
At the end of this training, the learner will be able to:

• understand the useful basics of AI applied to a real need;
• use Python to process and organize text data;
• build a clean and usable FAQ knowledge base;
• train a simple model to recognize questions and provide answers;
• create a web interface with Flask;
• publish the application online;
• present a simple, useful, and immediately demonstrable AI mini-project.

5. Why take this training?
Today, many organizations need to respond quickly to repetitive questions from customers, users, visitors, patients, learners, or partners.
This training helps learners acquire a practical, modern, and immediately valuable skill: building an intelligent FAQ system for a website, customer service unit, training center, company, NGO, or digital project.

6. Who is this training for?
This training is designed for:

• students who want to enter AI through a concrete project;
• motivated beginners who want to learn Python through a useful real-life case;
• professionals who want to automate recurring responses in their organization;
• entrepreneurs who want to add an intelligent solution to their services;
• anyone who wants to develop a modern, practical, and quickly valuable digital skill.

7. Prerequisites
It is not necessary to already be an expert in programming before starting.
What is mainly required is:

• basic ability to use a computer;
• willingness to follow a practical and consistent learning process;
• motivation to build a real project;
• readiness to learn Python logic and data organization.
  The training starts from accessible foundations and gradually leads the learner to a concrete result.

8. Tools Covered
For this training, we will use free, professional, and immediately reusable tools:

• Python for project development;
• VS Code as the main working environment;
• scikit-learn for machine learning;
• Flask for building the web interface;
• CSV files for organizing the FAQ database;
• GitHub for preparing the project for deployment;
• Render for hosting the application and making it accessible online.

9. Teaching Approach
This training is project-based and result-oriented.
The learner progresses step by step by building their own intelligent FAQ application.
Each concept is explained in a practical way, with hands-on exercises, testing, correction, and progressive improvement.
The goal is to lead the learner to a skill they can show, use, and monetize immediately.

10. Training Duration
120 hours of professional training
This track is designed to help learners build a strong practical foundation in applied AI with Python, in a format that is compatible with studies or work.

11. Training Format

• Classes every Saturday
• 4 hours per session
• Training duration: about 3.5 months
• Practical work to complete after class
• Assignments submitted on Wednesday
• Corrections and feedback sent on Friday

This schedule allows for steady progress while strengthening practice between sessions.

12. Training Modes and Languages
The training is available:

• in-person;
• online via videoconference.

Classes can be delivered:

• in French;
• in English;
• or with bilingual support depending on the group.

13. Training Program
The program is structured in a progressive, practical, and professional way.

Track 1: Understanding AI and Setting Up the Python Environment
Understand what useful AI means in a professional setting, install Python, VS Code, and the required libraries, create a first simple script, and properly set up the working environment.

Track 2: Learning the Python Basics for an AI Project
Master the useful basics of Python: variables, conditions, loops, functions, text manipulation, file reading and writing, and small practical scripts related to the project.

Track 3: Building the FAQ Knowledge Base with Python
Identify frequent questions, organize answers, create a file, clean the data, and prepare a proper FAQ dataset for model training.

Track 4: Training a Simple AI Model to Answer Questions
Discover text vectorization, train a simple classification model, run initial tests, and understand how the system behaves.

Track 5: Testing and Improving the FAQ AI
Evaluate results, correct common errors, better handle unknown questions, improve response relevance, and save the model for real-world use.

Track 6: Creating a Web Interface with Flask
Develop a simple and practical web interface that allows users to ask a question and receive an answer, with clear display and local testing.

Track 7: Hosting and Publishing the AI Application
Prepare the project for deployment, organize the files, connect GitHub, deploy on Render, and verify that the application works publicly online.

Track 8: Going Further with Project Improvement
Present the mini-project, document the work, and explore possible improvements: more data, better accuracy, cleaner interface, multilingual extension, future voice integration, or other intelligent features.

14. Practical Outcomes for the Learner
At the end of the training, the learner leaves with:

• an intelligent FAQ application built by themselves;
• a solid foundation in Python applied to a real need;
• first practical experience in machine learning;
• a working web interface built with Flask;
• a project hosted online;
• the beginning of a technical portfolio useful for internships, jobs, freelance work, or personal projects.

15. Certification
At the end of the training, the learner receives a Certificate in AI & Python for FAQ.
This certificate confirms that they have acquired practical skills to:

• use Python in a concrete project;
• prepare text data;
• train a simple AI model;
• build an intelligent FAQ system;
• create a web interface connected to the model;
• deploy an application online.

It is a useful certificate to strengthen a CV, prove a modern skill, showcase a concrete project, and improve opportunities in digital careers.

16. Registration & Contact
Ready to start your career in digital technology?
Register now and leave with concrete projects, a working portfolio, and a recognized certificate.