Bootcamp - Master Machine Learning algorithms

Build, train, and deploy your artificial intelligence models 

Are you passionate about data and its potential? This intensive bootcamp is for you! Through four practical projects, you will be immersed in the world of supervised and unsupervised machine learning, image processing, and the deployment of intelligent systems.

 

You will learn how to build your first predictive models, automatically classify complex data, leverage advanced approaches such as semi-supervised computer vision, and design a Retrieval-Augmented Generation (RAG) system based on cutting-edge language models such as Mistral orchestrated with LangChain.

This comprehensive training course will give you a comprehensive overview of modern data science and MLOps techniques, from data preparation to model deployment in production.

 

What you will learn:

• Preparing and cleaning data to train your models;

• Implementing supervised algorithms (regression, classification) and unsupervised algorithms (clustering, PCA);

• Image analysis with pre-trained models and semi-supervised approaches;

• Developing an intelligent chatbot with a RAG system, LangChain and Mistral.

Our alumni share their stories

                                                                                       

"My mentor is flexible; he has adapted to my personal and family situation, which I really appreciate. At the same time, he is demanding and motivates me in a supportive way. It's a perfect balance."

 

                                                               

"We're not alone. We have support from our mentor, other students, and the OpenClassrooms team, who are always there to answer our questions. My apprehensions quickly disappeared!"

Who Is Eligible to Enroll?

To get started on this training, you need to have the following prerequisites:

• A good level of English for non-native speakers : you will need to provide a certificate not older than 2 years to demonstrate a minimum level of English B2.
  ◦ Certificates accepted:
  • • English Diploma from a secondary institution (private or public) or an accredited higher learning institution
      ▪ Linguaskill minimum score: 160
      ▪ BULATS minimum score: 60
      ▪ TOEIC minimum score: 785
      ▪ IELTS minimum score: 6.5
      ▪ TOEFL iBT minimum score: 88
• Access to a computer (PC or Mac), headphones, a microphone, a webcam, and a good internet connection for mentoring sessions (3.2 Mbps upload and 1.8 Mbps for download). You can use an internet speed test to find out, like High Speed Internet.
• At least 16 GB of RAM and 100 GB of free storage space available on your computer.
• Administrator rights to your computer in order to install required programs.
  
  
• Bachelor's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Engineering, or related field
  
  OR
  
  
• One or more of the following professional certifications or equivalent/higher-level certifications:
  • Microsoft Azure AI Fundamentals (AI-900)
  • Microsoft Azure Data Fundamentals (DP-900)
  • Microsoft Certified: Azure Data Scientist Associate (DP-100)
  • AWS Certified Cloud Practitioner
  • Google Cloud Digital Leader
  
  OR
  
  
• Completion of all three of the following courses: • Learn Python Basics for Data Analysis • Perform an Initial Data Analysis • Use Python Libraries for Data Science