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Empire Training

IT - Artificial Intelligence and Machine Learning

Artificial intelligence (AI) and machine learning are at the heart of modern technological advancements, transforming sectors such as healthcare, finance, manufacturing, and more. This course will help you understand the fundamentals of AI and machine learning, from the theory of algorithms to the practical application of learning models. You will learn how to design, train, and evaluate machine learning models, as well as use tools and libraries such as Python, TensorFlow, and Scikit-Learn. Whether you are a curious beginner or a professional in the field looking to deepen your knowledge, this course will provide you with the skills needed to master these technologies and harness their potential.

Flexible 100% online training

Start your new career at any time! Available part-time? No problem, study at your own pace.

Professional projects

You will develop your professional skills by working on concrete projects inspired by business reality. No problem, study at your own pace.

Personalized support

Benefit from weekly mentoring sessions with a business expert.

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Earn certificates and diplomas

Earning certificates and degrees can enhance your career, broaden your horizons, and provide you with increased personal satisfaction.

Objectives of the Artificial Intelligence and Machine Learning training

Operational objective: 

  • Use web analytics tools to measure digital performance.

  • Interpret data and optimize strategies.

Educational objectives:

  • Understand the basic concepts of artificial intelligence and machine learning.
  • Explore the different applications of AI in various sectors.
  • Learn how to develop and deploy machine learning models.

Who is this training for?

Audience :

 

Prerequisites:

 

A pedagogy based on practice

  • Progress with the help of a professional expert.
  • Gain real know-how as well as a portfolio to demonstrate it.

Course content Artificial Intelligence and Machine Learning

Introduction to AI and Machine Learning

  • Definition and history of AI
  • Machine Learning Basics
  • Types of machine learning: supervised, unsupervised, reinforcement

AI Applications in Different Sectors

  • AI in accounting, finance, agriculture, transportation, etc.
  • Real case studies
  • Impact of AI on society

Developing Machine Learning Models

  • Data preparation
  • Model selection and training
  • Model evaluation and optimization
Individual and privileged supervision.
The Empire Training community

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