Natural Language Processing Course

One of the areas of data science that has grown exponentially in recent years is natural language processing, or NLP.

NLP is a discipline that combines artificial intelligence and human language. It allows machines to understand, manipulate and generate natural language. Thus, it is this Deep Learning technique which allows the existence of Siri or Alexa but also which is at the origin of the automatic correction and the translation of texts! 

Today, more and more companies are using NLP to automate or create new language processing technologies, in all fields, whether in banking, insurance or luxury retail.

Today, companies are developing more and more artificial intelligence and more precisely different techniques of this discipline such as Computer Vision and Natural Language Processing.

Training in Natural Language Processing means perfecting your skills in the field of AI and therefore Deep Learning and thus knowing more techniques, such as language processing, that can be used within companies. 

Moreover, according to a recent survey by Deloitte, 96% of employees believe that AI will radically change their organization in less than 5 years [ source ]. In addition, investments in AI are around 17 billion dollars in 2020, and should double in the next 2 years. [ source ]

In view of these figures, companies need highly qualified people on Deep Learning topics in addition to traditional Data Scientists. This is why we launched the Expert in Deep Learning course, bearing in mind that this sector is prone to change and progress constantly.

The curriculum works with blocks separated into different modules that will help you master the skills needed to work as an expert in Deep Learning.

After several different studies that we have carried out with our different communities, our experts have built a path that exactly meets the objectives of recruiters.

During the training, our two courses (NLP and Computer Vision) have a total of 100 hours separated into two parts. 85% of the work will be done via an online personalized coaching platform (asynchronous). The remaining 15% will be masterclasses with conferences led by our teaching team.

In addition, during the course, you will have a project on which you will work to validate the skills you have acquired which will allow you to be fully operational at the end of the training.

The degree course is available as a continuous course requiring 10 hours of work per week. Make an appointment to find out more. 

During the training, you will use the tools you have learned to put into practice during the realization of a project. The Computer Vision and Natural Language Processing blocks both have their own dedicated projects. 

Your cohort leader will present you with a list of subjects, and you can position yourself on the one that meets your desires and interests.

You will start from scratch without clean databases and pre-trained models. With our teachers, you will progress step by step on this project during the entire course.

This is one of the most important parts of the course, and you will be accompanied by a project manager to ensure that progress is smooth.

This will give you operational experience which is one of the most sought after parts of a Deep Learning expert.

In data, each profession will have its specificities. One thing is common to all, it is the need to exchange and communicate on the use of data. Your work is part of an orderly process based on a common data culture and efficient information transfer.

This is why we offer workshops allowing you to develop your soft-skills. Among these you will find in particular:

– Data classes around project management or management tools that are now part of the syllabus 
– For those who wish, you will have the opportunity to participate in CV workshops and career coaching with career managers. 

French leader in Data Science training, DataScientest enjoys a great reputation among companies who entrust it with the data science training of their teams. This confidence has forged the recognition of his diplomas.

Depending on the modules you choose, you will strengthen your skills in Natural Language Processing and/or Computer Vision. These skills are essential for research and development in artificial intelligence and are among the most in-demand on the job market. This means you can work in AI R&D, Deep Learning, or more broadly as an experienced Data Scientist.

Do not hesitate to contact us here for more information and further details about the career paths you could pursue after this training.

Jobs in artificial intelligence, and more specifically experts in Deep Learning, are jobs sought after by recruiters. There is currently a strong need for qualified experts. Large companies are increasingly aware of the importance of these experts to ensure that data is handled correctly.

Today, every industry is vying for the best deep learning talent. Artificial intelligence applications are used in all areas, from education to health, even industry or IT. The uses are varied, image and speech recognition, risk management, fraud prevention, customer knowledge, etc. 

As the Deep Learning expert program is recent, we do not have exact figures concerning professional integration. On the other hand, the training should follow the same trend as our other training (if you want to know more, click here ) and therefore have an average return to employment of 85%.

During your training, career workshops are organized every month to help you write a good data-oriented CV and practice the data science recruitment tests. You can also benefit from personalized advice from our careers team.

Depending on the sector to which you wish to orient yourself, our team will be able to advise and guide you thanks to its collaboration with many companies.

To discover the list of our partner companies, click here

Deep Learning is not an easy tool to master. To apply for this training, there are two possible paths. Either you have completed our Data Scientist training (interested? click here), or you have acquired skills in Python programming and Machine Learning through other academic or professional experiences.

This means you must already be a Data Scientist and, above all, have a strong command of Python. In addition, it is a plus if you are familiar with and understand most Machine Learning libraries and have at least a basic foundation in Deep Learning.

If you feel you need a refresher or do not fully meet all the required prerequisites, there is no need to worry: our core curriculum has been designed for this purpose. Before the start of the program, you will have the opportunity to follow this core curriculum, which will provide you with all the fundamentals needed to successfully complete our Deep Learning training.

If you believe you meet the prerequisites and would like to learn more about the program, speak with one of our advisors

The first step is to schedule an appointment with one of our advisors. Attentive and highly available, they will answer all your questions and address your needs.

You can book a call with a member of the team here.

The team will discuss your training project and motivation with you and help identify a viable financing option.
You will then take an admission test to verify that you meet the prerequisites for the Deep Learning Expert program. This will be a timed technical test covering both practical and theoretical knowledge.

Throughout the entire process, you are not financially committed to DataScientest in any way, and you may stop the process at any time.

Once these steps have been validated by DataScientest, you will be able to join the next cohort.

DataScientest is the only provider offering a fully remote training program that is also hybrid, combining both synchronous and asynchronous learning. This translates into 85% of learning on a coached online platform and 15% live video sessions, designed to balance flexibility with academic rigor.

This well-considered approach underpins our teaching methodology and helps learners stay motivated through to completion. We have detailed the benefits of this unique combination in a dedicated article on the subject.

To understand our learning model in just two minutes, you can watch this video here.

Obviously ! And who better to provide support than our teachers, who also designed the program. They are available and attentive to any questions, whether theoretical or practical. 

They also follow the progress of learners closely so that everyone is neither neglected nor demotivated. Each disconnection of a certain duration will be communicated to your cohort manager who will then hear from you so as not to leave you in difficulty! 

Finally, our qualified teachers are responsible for correcting the exams and defenses by hand, so that each of our learners progresses effectively. 

DataScientest is convinced that quality learning requires personalized follow-up!

To discover the Bootcamp course seen by a learner, discover this article . 

Beta tests are available for our alumni in order to gain knowledge in Data Science even after the end of the training. 

In parallel, newsletters drawn up by our data scientists are regularly sent and are a reliable source of specialized information in data science. 

Finally, the DataScientest community continues to grow, and with it all of its alumni. 

To keep in touch and allow former students to communicate with each other, DataScientest has set up a group of alumni on LinkedIn who share and discuss various themes around Data Science.

The DatAlumni community is a LinkedIn community that brings together DataScientest alumni. On this page, questions, tips and technology news are shared for everyone’s benefit. 

In addition to this, DataScientest will launch in the coming weeks a trombinoscope that will connect alumni, it will include the company and the position of each.

Initially, DataScientest supported the data transition of companies. This has made it possible to create strong links between the major groups which have ensured the growth of our structure.

Subsequently, they are the ones who motivated the launch of our offer to individuals in order to compensate for the lack of competent profiles. This need for good profiles is reflected in the survey we conducted with 30 of the 40 CAC 40 groups. Even with severe budgetary constraints, only 4% believe that they would reduce their data scientist workforce: by comparison 28% would still seek to increase their number by more than 20%…

On the strength of our past with large companies, we then signed partnerships linked to the hiring of our alumni. All the partner companies undertake to include all our students at the end of their training in their recruitment process: this, coupled with help with CVs and interviews, means that you will be in pole position to land the job of your dreams!

Not only can we help you, but we are also in an ideal position to do so and make your professional integration a success.