Expert track

Deep Learning

AI Engineer

Specializing oneself in Data Science is always a plus in an industry where knowing niche techniques is a high value asset. Today, specialized fields in Data Science include Deep Learning techniques – the pinnacle of which are NLP and Computer Vision.

In order for Data Scientists to get this revolutionnary expertise, DataScientest has created – and launched – the world’s first top level deep learning bootcamp.

A program made for me?

  • Data Scientist with project experience
  • Python programming native
  • English language proficiency

What is the Deep Learning
& AI speciality track?

This track is composed of 2 individual learning bootcamps which require you to follow the « core course in Deep learning » unless you are a DataScientest Alumni.
These tracks are “Deep learning for NLP” and “Deep Learning for Computer Vision”

Think you have what it takes to bypass this refresher course?
Discuss it with one of our expert counselors.

You may choose to follow one of these tracks or both in order to increase your programming proficiency, build on tomorrow AI’s development and stay on top of Data Science’s curb.

Building expert-level proficiency in a high-profile field such as Data Science is the best way to gear your career, and company, to new hights !

Deep Learning
core course

What is this core course?

You may choose to follow one of these tracks or both in order to increase your programming proficiency, build on tomorrow AI’s development and stay on top of Data Science’s curb.

Building expert-level proficiency in a high-profile field such as Data Science is the best way to gear your career, and company, to new hights !

Core Course next launches

10 weeks - 8h per week

Continuous
Training

November, 2nd 2021

Goals

Build Convolutional neural networks (CNNs)

Master Dense Layers in a neural network

Work with the Tenserflow framework

Use times series for Deep Learning

Core Course

Curriculum

Cursus expert deep learnig

Price of the training

*Possibility to pay in several times

1500€

Deep Learning
for Computer
Vision

What is the Deep Learning
for Computer vision course ?

One of the biggest parts of Deep Learning is how to implement Computer Vision in a complex system. In order to become a true expert in the domain, this targeted bootcamp tackles all you need to know to become a Computer Vision engineer. Everything from knowing how to detect objects with uncleaned and complex data to best practices on how to optimize your algorithms, as we know time is of the essence.

Whether your are looking to develop autonomous cars or detect cancer with medical images, our course will give you all tools and abilities to deal with complex problems both in a technical and mathematical way.

The Computer Vision track include Object Detection and Segmentation, Neural Network creation, Semantique segmentation and how to optimize theses workflows

Core Course next launches

10 weeks - 8h per week

Continuous
Training

November, 2nd 2021

Goals

Build Convolutional neural networks (CNNs)

Master Dense Layers in a neural network

Work with the Tenserflow framework

Use times series for Deep Learning

Use times series for Deep Learning

Use times series for Deep Learning

Computer Vision

Curriculum

cursus computer vision

Price of the training

*Possibility to pay in several times

For Data Scientist from DataScientest

Computer Vision : 2400€
Computer Vision + NLP : 4000€

For Data Scientist (other academic background)

Core Course + Computer Vision : 4500€
Core Course + Computer Vision + NLP : 6500€

Deep learning
for NLP

What is the Deep Learning
for Natural Language Processing
course ?

Data Scientist’s growing importance for companies also means specialization makes all the more difference. One of data science’s fields that has grown exponentially in the past few years is Natural Language Processing (NLP).

NLP is the field which combines AI with human languages, whether that be in interpreting languages or creating new text. More and more companies use NLP to automate or create new language processing techinques, in all fields, from banking and insurance, to retail and luxury.

And yet, this new form of Data Science, which operates Siri and Alexa for instance, is far from reaching its fullest potential. From recurrent neural networks to transformers, having all the tools that the field has to offer is the way to continue our leep forward in Artificial Inteligence.

Core Course next launches

10 weeks - 8h per week

Continuous
Training

November, 2nd 2021

Goals

Build Convolutional neural networks (CNNs)

Master Dense Layers in a neural network

Work with the Tenserflow framework

Use times series for Deep Learning

NLP

Curriculum

Cursus expert NLP

Price of the training

*Possibility to pay in several times

For Data Scientist from DataScientest

NLP : 2400€
NLP + Computer Vision : : 4000€

For Data Scientist (other academic background)

Core Course + LP: 4500€
Core Course + NLP + Computer Vision : 6500€

Any Questions?

Advanced Deep Learning & AI Engineer job

The artificial intelligence engineer is both a researcher and a computer scientist. They develop computer programs capable of thinking and performing tasks performed by humans.

The artificial intelligence engineer first analyses how the human brain works on a given problem. They then design complex and innovative computer programs that can decode and analyse data that no other computer system has been able to process before.

The applications of artificial intelligence are multiple and almost infinite: image and video processing, language-related applications, predictive analysis, games, automation, robots, health and bioinformatics…

And its development continues, and intensifies thanks to big data and the ever-increasing performance of our computers and algorithms. According to Statista (a market research website), the main investments in AI will be in image recognition applications, natural language processing along with the use of algorithms to improve financial performance and the processing of medical data by 2025. This means the AI engineer has a bright future ahead of him.

NLP and Computer Vision are at the forefront of what a Deep Learning and AI engineer does. In that sense, these courses offer the best way to specialize in a field which lacks the experts it deserves to have.

Today, if you want to build artificial intelligence, you must understand and master deep learning. According to a recent survey from Deloitte, 96% of employees think that AI will radically change their organization in less than 5 years [source]. Furthermore, AI investments are around 17 billion dollars in 2020, and should double in the next 2 years. [source]

Regarding these figures, companies need people who are highly skilled in deep learning topics in addition to classical data scientists. That’s why we launched the AI engineer course, keeping in mind that this sector is prone to change and advances on a continuous basis.

Our course:

Deep Learning is no easy tool to master. In order to apply to this training, two possibilities exist. Either you have undergone our Data Scientist course (interested? click here) or you have acquired coding, and machine learning skills through other academic and professional experiences.

Indeed, that means that you must be entirely proficient in python, and use this tool on a daily basis. You know and understand most Machine Learning libraries and have a minima, basic knowledge in Deep Learning.

Think you have what it takes? Talk with one of our counsellors

Every time a registration require has been made, it will contact one of our pedagogical team members. Attentive and ready to listen to whatever enquiries you might have, they will answer any and all questions you may have. They will then help guide you through the program, and they will check in every so often to make sure the program is going okay and any expectations you had have been met.

You can set up a meeting with one of the team members here.

After this quick interaction, a link will be sent to you for your registration. The admission team – different from the first one – will then contact you via a phone call to talk with you about your training project as well as your motivation and find a viable financial operation.
You will then do an admission test that will allow us to check that you verify the requisites to do the course. To be able to do the ML engineer course the test will be a timed technical test one technical and theoretical knowledge.
During the whole process you are in no way committed financially to DataScientest and at any time you can put an end to the whole process.
Once the project has been confirmed by both DataScientest and yourself you will be sent to the registration stage with our team in charge of these operations who will help you start your training and give you all the tools to follow it.

DataScientest is the only training organization to offer hybrid training. We propose both face to face and remote training. (10% face to face and 85% remote). This makes you have flexible yet rigorous training without disturbing them both. It is a thought-out choice made by our experts to promote our pedagogy so that the courses can be carried out till the end. We have detailed the advantages of this unique combination in an article on the subject.
You can furthermore have a Data Scientist training course fully remote. The originally face-to-face courses are replaced by classes in videoconference. The follow up will stay the same. The professors will still stay attentive and have a follow through on every one of your modules and questions
To understand our learning method in 2 minutes, discover this video

Based on the modules you choose, you will either increase your proficiency in NLP and/or CV. These skills are essential for AI R&D and are the most sought after on the market. This means you may work in the fields of R&D in AI, Deep Learning and more generally as an experienced and well-read Data Scientist. Feel free to contact us here [CTA] for more information and more details about the careers you may engage in after this course.

Our Curriculum

The course works with blocks separated into different modules that will help you master the skills necessary for the AI engineer job.
With several different studies that we have led with our different communities, our experts have built a course that meets the exact goals of the recruiters.

During the program, each course has a total of 100 hours separated into 2 parts. 85% of the work will be with a personalized coaching platform. The other 15% will be masterclasses with lectures from our very own data scientists.
Furthermore, during the course, you will have a project on which you will work to confirm the skills you have acquired that will enable you to be completely operational at the end of our curriculum.

The course for AI engineers is available as a continuous course requiring 8 to 10 hours per week for 3 months. Make an appointment to learn more.

During the whole course, our teachers will be at your disposal and will answer all your questions and will help you throughout your training. Our pedagogy methods are based on personalized work from the beginning to the end. Our teachers created the whole program, making them more than qualified to answer any question you may have. They will maintain a human relationship to make sure the course is coinciding with your needs. The exams you will have at the end of the modules will be corrected by hand to make sure of the quality of our feedback. You will be able to progress at your rhythm, and the goal is for you to be a fully capable professional at the end of the course.

During the training, you will use the tools you have learned to put into practice with the project.
The subject of the project will depend on your hobbies or interests. You will be able to choose any subject that interests you and your group, as long as your pitch to the teachers is accepted.
You will start from scratch with no clean databases and no pre-trained models. With our teachers, you will advance step by step on this project during your 3 months.
It is one of the most important parts of the course with advice from your pedagogical director to make sure the progress is running smoothly.
This will give you operational experience which is one of the most sought parts of an AI engineer.

Every business is different in Data. The one thing in common is the importance of communication on the usage of the data. Your work is a key part of a process based on a common data structure. By being an efficient information transferer you will help the whole team succeed.
We will help you by developing some of your soft skills.

For example:

  • Data class on project management.
  • Support through CV workshops and career coaching.
As the french leader in B2B in data science training, DataScientest is recognized by companies as proposing trustworthy training programs. This trust has forged toe recognition of its diplomas.

AI jobs and more particularly AI engineers are jobs recruiters are searching for in high demand. There is at the moment a shortage of qualified AI engineers. Big companies are getting more and more conscious of the importance of these engineers to make sure that Data is even handled correctly, but they are struggling to find the right profiles. This has started putting pressure on companies and has empowered the candidates.
Today, every sector is fighting to have the best talents in AI engineering. AI applications are used in every single field, from education to healthcare and even passing by industry or IT. The uses vary, image and speech recognition , risk management, fraud prevention and customer knowledge.

The support we serve post-course

We give beta tests to our alumni. These will allow you to continue gaining data knowledge and skills as well as continuing your training.
We send regular newsletters written by DataScientest’s experts that will keep you informed of how the Data world is changing.
The community of DatAlumni will help you develop a network in the Data industry as well as exchanging with former students on different Data subjects.

Our DataAlumni community is a LinkedIn group gathering alumni from all our DataScientests courses. You will find answers to different questions you’ve had, advice, and technological news that are shared for the alumni.

DataScientest was created to support data transitioning for companies. Thanks to this we created a bond with big groups that helped us in the growth of the company. This was reinforced with companies noticing the lack of competent profiles that encouraged us to launch our offer. The survey we led to notice this need for good profiles was among 30 groups of the CAC 40.
Our strength originates from the partnerships that we created with these big groups. All our partner companies commit to including all our students after their training in recruitment processes. This as well as the CV workshops will give you a pole position on the job market to find the job of your dreams.

We will not only help you but also we will make sure your professional integration goes as smoothly as possible.

During the course, you will have access to career and CV workshops organized by our career pole management team. They will help you prepare your application and ready you for recruitment tests. 

They are available to advise and accompany you and ensure that you have a perfect integration after graduation. 

Discover the list of our partner companies if you click here

If you want to have more information about our career support actions, click on this link.