Become an AI Engineer

• Perform advanced data analysis and business predictions using data science
  Companies produce a colossal amount of data. Being able to analyse and leverage this data is crucial and represents an undeniable competitive advantage.
  
  
• Translate a business need into a data science problem and solve it using your algorithms
  For example, you will make predictions to improve your company's sales or develop artificial intelligence for mobile applications. Working closely with business teams, you will carry out a data project, from data collection to the production of your algorithms.
  
  
• Design predictive and autonomous models
  Machine learning data scientists specialise in training and deploying machine learning models. As part of a data team, you will be responsible for creating algorithms and designing self-learning programmes. For example, you will develop recommendation engines or text and image classification systems using deep learning algorithms.

What are the responsibilities of an AI Engineer?

• Collect and prepare data with Python for analysis.
• Explore and analyse data to understand trends and performance of a business or product.
• Perform classifications using deep learning algorithms.
• Develop predictive models to identify new trends and opportunities.
• Deploy data models to automate business processes and improve their efficiency.
• Communicate results to specialists or novices through visualisations.
• Participate in the organisation and management of a data science or AI project.

 

A teaching method based on practical experience.

 

Your career and employment opportunities after completing this program

Who Is Eligible to Enroll?

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

• 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

 

Language: a good level of English (for non-native speakers, a CEFR level of B2, an IELTS band score of 6.5, or a TOEFL score of 80 is recommended).

 

Equipment: access to a computer (PC or Mac), headphones, a webcam, and a stable internet connection.

• At least 16GB of RAM and 100GB of free storage space available on your computer.
• Administrator rights to your computer in order to install required programs. 

Information About Degrees

OpenClassrooms is a higher education institution, accredited by the WASC Senior College & University Commission (WSCUC).

 

Upon completion of this program, eligible students will be awarded an Associate level degree in the Computer Support area of study. OpenClassrooms is eligible to issue degrees in the following states.