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The objective of this artificial intelligence technique is to give a machine the possibility of “seeing”. Indeed, it allows a computer to be able to analyze and interpret images or videos as if it had human vision!
Computer Vision is ubiquitous today in all technologies. So whether you are looking to develop self-driving cars or detect cancer with medical images, this course is for you!
If you want to know more about Computer Vision, click here
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.
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.
Throughout your training, and as your skills are developed, you will lead a data scientist project.
It will not be a standardized and imposed data science project : it will be up to you (in pairs or three) to determine the subject and pitch it to our teams who validate it or not. Obviously this adds difficulty: uncleaned data, non-pre-trained models, but our teachers are there to help you at every stage of this project.
It is an extremely effective way to move from theory to practice and to ensure that you apply the themes covered in class.
It is also a project highly appreciated by companies because it ensures the quality of the training and the knowledge acquired at the end of the Data Analyst training. Knowledge that is not only technical since soft-skills are also highlighted :
In short, it is a project that will require a real investment: at least a third of your time spent on training will be on this project .
Each major step highlights a new aspect covered in class. The project is punctuated by meetings and defenses with your educational director to ensure your progress and understanding throughout your professional training.
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:
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.
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%.
Deep Learning is not an easy tool to master. To apply for this course, there are two options. Either you have taken our Data Scientist training (are you interested? click here ), or you have acquired programming skills in Python and Machine Learning through other academic and professional experiences.
This means that you must be a Data Scientist and above all that you have a perfect command of Python. Also, it’s a plus if you know and understand most Machine Learning libraries and have a minimum of basic Deep Learning knowledge.
If you think you need an upgrade or you don’t master all the necessary prerequisites, don’t panic, our common core has been designed for that! Indeed, upstream of the training you will have the opportunity to follow the common core which will offer you all the necessary bases to follow our training in Deep Learning.
You think you have the necessary prerequisites and you want to know more about the training? Chat with one of our advisors
The first step would be to make an appointment with our advisors. Attentive and very attentive, they will answer all your requests and questions.
You can schedule a call with one of the team members here .
The team will discuss with you your training project as well as your motivation and will find a viable financial operation.
You will then take an admission test which will allow us to verify that you have the prerequisites to follow the Deep Learning expert course. The test will be a timed technical test including technical and theoretical knowledge.
Throughout the process, you are in no way financially committed to DataScientest and you can end 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 organization to offer distance learning that is also hybrid, that is to say both with synchronous and asynchronous times. This translates into 85% learning on the coached platform and 15% videoconference session, with the aim of combining flexibility and rigor.
It is a carefully considered choice that motivates our pedagogy to allow learning to be carried out with motivation.
Depending on the modules you choose, you will increase your skills in Natural Language Processing and/or Computer Vision. These skills are essential for R&D in artificial intelligence, and are the most sought after on the market. This means that you can work in the fields of AI R&D, Deep Learning and more generally as an experienced Data Scientist.
Do not hesitate to contact us here for more information and more details on the careers you could undertake after this training.
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.
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
The objective of this artificial intelligence technique is to give a machine the possibility of “seeing”. Indeed, it allows a computer to be able to analyze and interpret images or videos as if it had human vision!
Computer Vision is ubiquitous today in all technologies. So whether you are looking to develop self-driving cars or detect cancer with medical images, this course is for you!
If you want to know more about Computer Vision, click here
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.
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.
Throughout your training, and as your skills are developed, you will lead a data scientist project.
It will not be a standardized and imposed data science project : it will be up to you (in pairs or three) to determine the subject and pitch it to our teams who validate it or not. Obviously this adds difficulty: uncleaned data, non-pre-trained models, but our teachers are there to help you at every stage of this project.
It is an extremely effective way to move from theory to practice and to ensure that you apply the themes covered in class.
It is also a project highly appreciated by companies because it ensures the quality of the training and the knowledge acquired at the end of the Data Analyst training. Knowledge that is not only technical since soft-skills are also highlighted :
In short, it is a project that will require a real investment: at least a third of your time spent on training will be on this project .
Each major step highlights a new aspect covered in class. The project is punctuated by meetings and defenses with your educational director to ensure your progress and understanding throughout your professional training.
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:
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.
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%.
Deep Learning is not an easy tool to master. To apply for this course, there are two options. Either you have taken our Data Scientist training (are you interested? click here ), or you have acquired programming skills in Python and Machine Learning through other academic and professional experiences.
This means that you must be a Data Scientist and above all that you have a perfect command of Python. Also, it’s a plus if you know and understand most Machine Learning libraries and have a minimum of basic Deep Learning knowledge.
If you think you need an upgrade or you don’t master all the necessary prerequisites, don’t panic, our common core has been designed for that! Indeed, upstream of the training you will have the opportunity to follow the common core which will offer you all the necessary bases to follow our training in Deep Learning.
You think you have the necessary prerequisites and you want to know more about the training? Chat with one of our advisors
The first step would be to make an appointment with our advisors. Attentive and very attentive, they will answer all your requests and questions.
You can schedule a call with one of the team members here .
The team will discuss with you your training project as well as your motivation and will find a viable financial operation.
You will then take an admission test which will allow us to verify that you have the prerequisites to follow the Deep Learning expert course. The test will be a timed technical test including technical and theoretical knowledge.
Throughout the process, you are in no way financially committed to DataScientest and you can end 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 organization to offer distance learning that is also hybrid, that is to say both with synchronous and asynchronous times. This translates into 85% learning on the coached platform and 15% videoconference session, with the aim of combining flexibility and rigor.
It is a carefully considered choice that motivates our pedagogy to allow learning to be carried out with motivation.
Depending on the modules you choose, you will increase your skills in Natural Language Processing and/or Computer Vision. These skills are essential for R&D in artificial intelligence, and are the most sought after on the market. This means that you can work in the fields of AI R&D, Deep Learning and more generally as an experienced Data Scientist.
Do not hesitate to contact us here for more information and more details on the careers you could undertake after this training.
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.
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
