Objectives

The aim of this course is to teach you to understand the main issues involved in artificial intelligence, and more specifically machine learning. In particular, it covers the implementation of AI concepts in Python.

Is it for you ?

IT specialists.

Your benefits

Understand core machine learning concepts and business use cases

Set up a Python environment for developing AI and machine learning models

Prepare and process data for effective use in algorithms

Build supervised and unsupervised learning models for analysis and prediction

Identify key challenges, risks, and limitations of artificial intelligence

Content

Introduction to Machine Learning

The technical environment of Machine Learning
Python libraries for Machine Learning
Working with data
Supervised learning
Classification algorithms
Unsupervised learning
Advanced learning concepts
Challenges and risks of AI

Book

This module offers you the opportunity to consult a digital course material:

Machine Learning with Python From theory to practice

💡 Useful information

100% online training. Accessible anytime, from anywhere, giving a one year of access to the training. If you have any questions regarding registration, the language of instruction, or cancellation policies, please consult our FAQ .

Trainers

Upcoming information

Artificial Intelligence development with Python