Through this project, you will develop the essential skills to deploy a machine learning model in a production-like environment :

• Design and deploy a machine learning model via a robust API, from integration to deployment (FastAPI).

   

• Implement reliable software quality and maintenance practices: unit testing, version management, and best development practices (Pytest, Git).

   

• Deploy and industrialise a machine learning solution using containerisation and CI/CD pipelines to ensure its scalability, reproducibility and maintainability.

 

A teaching method based on practical experience.

 

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