AI Engineer

Many companies need Data experts to provide AI solutions for their products. Put your knowledge of mathematics to work by becoming an Artificial Intelligence Engineer through our training program, developed in partnership with Microsoft. 

 

What Will I Do as an AI Engineer?

An AI Engineer’s job is to use techniques such as Deep Learning to develop features such as chatbots or even navigation systems for autonomous vehicles.

In addition to mastering Data Science and Machine Learning techniques, you can use Microsoft Azure services for the purposes of developing AI products. You will also practice deploying your algorithms into production, and even supervise the development of an AI product.

What Will I Learn in This Program?

• Apply Data Science basics, such as collecting and preparing data
• Build Machine Learning and Deep Learning algorithms
• Build models using Microsoft Azure services
• Deploy algorithms into production in the cloud
• Oversee the design of an AI product

How Much Will I Earn as an AI Engineer?

Here is what you can expect to earn, on average, as an AI Engineer:

• Beginner: $45,000 to $65,000 USD gross per year
• Senior: $65,000 to $90,000 USD gross per year

Roles in AI Engineering are in high demand, particularly for full-time employment. Freelance AI Engineers have charged up to $1,000 USD per day of work.

What Are My Job Prospects?

In Data Science, there is a high level of career mobility, depending on the company. This program will prepare you for the following careers:

• AI Engineer
• Data Scientist, Data Miner, Machine Learning Engineer
• Data Analyst

What Are the Advantages of the OpenClassrooms Program?

Hands-on Learning Assignments that Develop Your Professional Skills

In our program, you will complete projects similar to those you’ll encounter in the professional world, and master the technical skills that businesses are looking for. At the end of the program, you’ll have an impressive project portfolio that will easily sway recruiters.

Individual Sessions with Your Mentor

Each week, you will meet via videoconference with your assigned mentor, who will support you, guide you, and answer all of your questions. Together, you will define specific goals and develop a learning plan just for you.

A Welcoming, Dynamic Learning Community

You are not alone! Your progress will be tracked by the Student Success Team to make sure that everything proceeds according to plan. You will also be in daily contact with other OpenClassrooms students via a dedicated virtual environment. 

Career Guidance

Our goal is to help you achieve the career of your dreams. That is why, in the final months of your training, you will receive guidance from a career coach who will assist you in your job search.

Who is Eligible to Enroll?

Required education level:

• a bachelor's degree, or equivalent, in computer science, economics, finance or data analysis;
• or a an associate's degree, or equivalent, and at least 2 years of professional experience in computer science, economics, finance or data analysis;

All other candidates will need to go through a specific admissions process. These candidates must have:

• an associate's degree, or equivalent, in any subject and at least 1 year of professional experience in any field
• and a completed placement test consisting of:
  
  • OpenClassrooms course completion certificates from Perform an Initial Data Analysis and Use Python Libraries for Data Science;
  • a personal data analysis project, accompanied by a 10-minute recorded video that explains the project.

English language level: 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
• Cambridge FCE / CAE / BEC HIGHER / BEC VANTAGE minimum score or grade: B or 160
• Certificate from a language center demonstrating a minimum level of B2 (including the number of training hours completed and the company signature or stamp)

Don’t have one of these certificates? Find out where to take an exam.

Equipment: Access to a computer (PC or Mac) with a microphone, webcam, and good Internet access. 

To complete this path, your computer will also need to meet the following requirements:

• CPU: 2 x 64-bit, 2.8 GHz, core I3 or AMD Ryzen 3 minimum (ideally core I7 or AMD Ryzen 7),
• RAM: 8 Go minimum (ideally 16 Go, but it's possible to use a free Google Colaboratory account for the larger datasets in the program),
• Storage : 512 Go, SSD ideally.

For the Deep Learning data processing in particular, you'll need:

• Graphics Processing Unit (GPU) NVidia 8Go minimum,
• or use of free Cloud solutions available via a browser Google Colaboratory (GPU or TPU), or Kaggle Notebook,

Technical Prerequisites:

• Mathematics (real analysis, algebra, probability, statistics).
• Computer Science (algorithms, databases, shells).