AI Engineer

Design and integrate Deep Learning models inside an AI product

Training period

12 months full time

Training duration

800 hours supervised

A flexible online program

Imagine starting a brand-new career at any time! Can’t commit to full-time? No problem, study at your own pace.

Real-world projects

Acquire the most relevant skills by completing 11 projects based on those required in your future career.

Individual learning support

Benefit from weekly mentoring sessions with an expert in the field.

OpenClassrooms Certification

Leave with a professional qualification and benefit from our hired or refunded guarantee.*

DataAI Engineer
Certification

OpenClassrooms Certification

Training period

12 months full time

Training duration

800 hours supervised

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. 

 

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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:

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).

Your diploma

  • OpenClassrooms is an online training educational establishment, declared as such by the French authority ‘le rectorat de l'Académie de Paris’.

  • Once you’ve completed your training program, and subject to validating your skills, you will receive the OpenClassrooms standard diploma "Data Scientist".

Hired or refunded guarantee

  • You find a job in the 6 months following the date of validation of your last path project.

  • Otherwise, we guarantee the reimbursement of your tuition.*
    See more details

DataAI Engineer
Certification

OpenClassrooms Certification

Training period

12 months full time

Training duration

800 hours supervised

A teaching method based on practical experience.

  • Acquire key skills for your future career with real-world projects.

  • Make progress with the support of an experienced professional.

  • Acquire concrete know-how and demonstrate it with a portfolio.

Detailed projects and skills

project 1

Explore AI Engineering as a Career

Set yourself up for success in your path. Find out what you are going to learn and get to know your mentor. You will also define your learning goals in this first project!

30 hours supervised

Skills acquired in this project
  • Prepare for your training
project 2

Participate in a Smart City Contest

You want to gain experience in Data Science by participating in an online contest organized by an NGO. The goal? To contribute to the development of the City of the Future!

60 hours supervised

Skills acquired in this project
  • Conduct a univariate statistical analysis
  • Use specialized Python libraries to conduct an exploratory data analysis
project 3

Produce data visualizations for a public health agency

The Department of Health and Human Services wants to help its employees use their raw data. You're tasked to help them out!

80 hours supervised

Skills acquired in this project
  • Communicate exploratory results using clear and relevant data visualizations
  • Conduct a multivariate statistical analysis
  • Conduct data cleaning on structured data
project 4

Develop a Scoring Model

As a Data Scientist for a finance company, you will develop a scoring model that will enable customer relations teams to decide whether or not to lend to prospective borrowers.

80 hours supervised

Skills acquired in this project
  • Train a classic supervised model that meets business expectations
  • Evaluate the performance of a classic supervised model
  • Transform relevant variables for a classic supervised model
  • Fine-tune hyperparameters of a classic supervised model in order to improve performance
project 5

Segment the Customer Base of an e-commerce Website

You are working as a consultant for an e-commerce marketplace. Olist’s marketing teams want you to develop a customer segmentation they can use to optimize their communication campaigns.

70 hours supervised

Skills acquired in this project
  • Evaluate the performance of a classic unsupervised model
  • Fine-tune the hyperparameters of a classic unsupervised model
  • Transform relevant variables for a classic unsupervised model
  • Train a classic unsupervised model that meets business expectations
project 6

Improve Your Startup’s AI Product

You are an AI engineer for a website that provides restaurant listings. You will be working on a new interactive feature for your platform.

80 hours supervised

Skills acquired in this project
  • Implement dimension-reduction techniques
  • Fetch data from an API that matches predefined needs
  • Pre-process unstructured data to generate a functional dataset
  • Visualize high-dimensional data
project 7

Use Deep Learning to detect Bad Buzz

You are an AI engineer for a consulting firm specializing in digital marketing. Your customer wants to use AI to detect Bad Buzz associated with its brand online.

70 hours supervised

Skills acquired in this project
  • Choose the appropriate word embedding method to improve a Deep Learning model
  • Evaluate the performance of a Deep Learning model on text data
  • Select appropriate text pre-processing methods to improve a Deep Learning model
  • Train a Deep Learning model on text data
project 8

Build a Computer Vision System for an Autonomous Vehicle

Your company designs onboard computer vision systems for autonomous vehicles. As a member of the project team, you are responsible for image segmentation.

90 hours supervised

Skills acquired in this project
  • Train a Deep Learning model on images
  • Handle a large dataset
  • Evaluate the performance of a Deep Learning model on images
  • Use data augmentation techniques to improve a Deep Learning model on images
project 9

Create an Application for Recommending Content

You are the CTO of a startup that wants to market a book recommendation app to its customers. You will launch an initial version of this application.

80 hours supervised

Skills acquired in this project
  • Develop scripts to run an end-to-end AI pipeline
  • Select the software architecture to meet the business need
project 10

Develop a Chatbot to Help Customers Make Holiday Reservations

Your tourism company wants to develop a chatbot to help its customers reserve airline tickets. You have been assigned to develop this chatbot!

100 hours supervised

Skills acquired in this project
  • Monitor the performance of the model in production
  • Integrate a model’s output into a finished IT product
  • Integrate an AI processing chain into an IT tool using Git
project 11

Define the Scope of an AI Project

In a few days, the Executive Board will meet to approve your company’s proposed roadmap. You must scope the project to convince senior management that your project has strong potential.

60 hours supervised

Skills acquired in this project
  • Identify the ethical and legal issues relating to the collection of personal data
  • Identify the human, technical and financial resources required to implement an AI project
  • Plan appropriate responses to significant project risks

One-to-one learning support

  • Benefit from weekly individual mentoring sessions with an expert in the field.

  • Progress rapidly through projects thanks to their expertise in sharing know-how.

The OpenClassrooms community

  • Count on our solid student community to give you support 24-7.

  • Share your doubts or queries with a comprehensive network of students, mentors, and graduates.

How exactly will I learn on an OpenClassrooms path?

From choosing what to study to starting their new career, our students describe their experiences and the support they received at every step of the way.

See step-by-step experience

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Training program last updated on Dec 20, 2022