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 will be able to 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?

English language level: 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) 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, minimum core I3 or AMD Ryzen 3
• Preferred: core I7 or AMD Ryzen 7
• RAM : 16 Go min
• Storage : 256 Go, SSD

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
• or use of Azure ML (GPU). Credits necessary to complete the projects are provided.

Required education level: Bachelor of Mathematics or Bachelor of Science (or equivalent).

Technical Prerequisites:

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