105 hours of complete training to learn the skills of a Data Engineer, perfect those of a Machine Learning Engineer and acquire a solid foundation in Reinforcement Learning. You can take advantage of this training on a part-time or full-time basis, in person or remotely.
The programme is hyper-practically oriented and built by data professionals. You will be able to follow it full time or part time to adapt your training to your schedule. Also, flexibility being a major element of your future life in Tech, you will keep the possibility to follow the training in face-to-face or distance learning.
Learn how to manage very large data infrastructures through the implementation of advanced projects. But managing these volumes is not the only thing! You will learn how to manage data from various sources: CRM, website analytics, networks, Internet etc.
The phase at which many data projects fall by the wayside: the production phase. Because once your model is created, it will be useless if it does not benefit your customers, partners or collaborators. With the Fullstack training, you will have a very good basis in deployment, and you will be able to go further in this skill, which is highly sought after by recruiters.
For a long time, companies hired mostly Data Analysts and Data Scientists. Their objectives were to perform relevant analyses from the generated data, but also to perform modeling, predictions, and recommendations in an automated way in order to guide the final decisions.
As the volume of data generated has increased in recent years, the needs of companies have also evolved. Data Engineers and Machine Learning Engineers have emerged. Their role will be to maintain a robust data infrastructure, no matter how big or small, but also to ensure that the results of the AI models built by the Data Scientists are made available to the right stakeholders. New areas we train our students in with the Lead training.
First London courses (online or in-class) launching 2022!
Apply or request the syllabus here
Make an appointment with our admissions team
Discuss your ambitions and objectives together before finalising your registration
The Tech field is evolving at lightning speed. In this context, you will always need to be ahead of the game in terms of technology. The technologies we teach in the Lead training are the ones most used by the major companies in the Tech world, both in terms of tools and methods.
The richness of our community is one of Jedha's strengths! You will have the pleasure of exchanging with people with very different backgrounds. In this third Data course, our students were able to gain even more expertise in the field of Data, here is what they thought.
From the concepts of DevOps or Data Engineering to their implementation on more complex ETL projects, I came out of the course with the necessary skills to implement more complex data projects in production.
Delphine Jean - From Marketing Manager to Data Consultant
Very, very dense training, and very enriching! Our teacher Samuel was always available and attentive throughout the course.
Lucas Guivier - Data Engineering Consultant @ L'Oréal
Jedha's training is meant to be multi-faceted. That is why our alumni work in all types of positions in data.
In particular, they work as Data Analysts, Data Scientists, Machine Learning Engineers, Data Engineers and Cybersecurity Analysts.
The sectors of activity are very diverse, ranging from start-ups to large groups. The main difference of our alumni is their ability to translate needs into Data problems, to adapt quickly to technological changes and to communicate effectively with teams.
The Data Lead training will allow you to reach a high level of expertise. In this sense, a number of new technical professions are made accessible to you after completing the program.
You will most often find jobs such as Data Engineer, Machine Learning Engineer, or ML Ops. But what exactly are these jobs?
A highly technical job! The Data Engineer's job is to build Data infrastructures, and to promote the work of Data Scientists by putting their models into production.
He takes care of the last mile of data! The Machine Learning Engineer works on the optimisation of Artificial Intelligence models so that they can be better deployed throughout the company.
The DevOps profession will allow you to create applications or websites that meet the needs of your business. You will put all these environments into production and automate the data recovery processes!
Maintaining Machine Learning models in production in a reliable and solid manner is the job of the ML Ops. At the crossroads of the worlds of Data Science and Data Engineering, he/she takes over from the Machine Learning Engineer in the Data pipeline, once the models have been well deployed.
Our Data Lead course is an integral part of our "Data Science Designer-Developer" diploma and allows you to validate its block n°6 in "Data Infrastructure Management".
How does this certification work? By enrolling in our Data Lead course, you will have the opportunity to take our Data certification. At the end of your programme, you will present your lead project to a panel of judges and will be able to prove your skills to all your future recruiters by having applied the tools taught.
This certification also allows you to benefit from your CPF credits to finance the training in its entirety or in part.
After our Lead training, our alumni work as Data Engineers, Machine Learning Engineers, or Data Architecture Consultants in renowned companies.
.svg)
Vulgarisation - expertise - Very proud of our alumni, we accompany them in the realisation of their Data Science project
and help them to reach their professional goals.very proud of our alumni, we accompany them in the realisation of their Data Science project and help them to reach their professional goals.
.png)
Thanks to JULIE, you will have access to numerous resources to help you improve your skills during your training, but also to continue your training once it is over. Additional resources, 100% dedicated code environment, but also complete course content.
We are very proud of our student community and follow our alumni throughout their careers and delight in their successes.
If you are interested in the Lead course, both in its curriculum and in the way it is taught, we invite you to contact our admissions team, who will be able to advise you in the best possible way, in line with your background and professional aspirations.
I have a solid background in Data or I have completed the Fullstack training
I want to obtain technical skills that are all the more differentiating
Apply and make an appointment with
the admissions team to find out everything!
