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Data Science & Engineering
Lead

Data Engineering Training

Add a crucial skill to your resume by training in Data Engineering. In 112 hours, master the basics of the Data Engineer profession and validate your skills with our state-recognized certification.

4.98/5 according to our 1,900 alumni
Upcoming courses:
19
November
2023
19
November
2023
Apply
Download our syllabus
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Build your future in data
Program

Become an expert in Data Engineering

You already work in Data? Develop a dual-skill that is in high demand! In 2023, companies are looking for hybrid profiles between Data Scientist and Data Engineer. In 112 hours, get a solid foundation in Data Engineering and Deep Learning.

At the end of your Data Science Lead training at Jedha, you will be able to :

  • Robustly deploy your applications with Docker and Kubernetes
  • Build a data pipeline to analyze the data generated by your applications
  • Automate and monitor your Machine Learning models
Download our syllabus
Build your future in data

The program of our Data Engineer training

Deployment & Distributed Machine Learning

In this first module, you will learn how to deploy your AI application on any server, using Docker. Mastering Kubernetes will ensure that it runs smoothly, no matter how many users you have. You will learn how to increase the computational speed of your AI model tenfold with Ray, a distributed Machine Learning Framework. This will allow you to work on more complex Machine Learning or Deep Learning models.

Module 1

Deployment & Distributed ML

Skills mastered
  • Deploying Machine Learning applications using Docker and Kubernetes.
  • Distributed Machine Learning & Deep Learning, with the Ray framework.
Reinforcement Learning

In this module, you will discover a little-known field of AI, Reinforcement Learning, used for video games and robotics. You will continue to develop your expertise on Docker and Kubernetes, two skills that are highly sought after by recruiters. You will also learn how to create your own development environment and improve the power and speed of your models.

Module 2

Reinforcement Learning

Skills mastered
  • Docker and Kubernetes: state of the art mastery of these deployment tools.
  • Open Source RLib library: improve the power and speed of your models.
  • Open AI Gym library: create your own development environment, 100% customizable to your needs.
Data Pipelines

Now that your application is deployed, it generates a lot of data. In this module, you will learn how to build a real Data pipeline to collect and analyze this data. You will also learn how to analyze data that arrives continuously: this is the concept of Streaming Data. Finally, you will master Graph Data Science, very much used by recommendation systems to establish a link between 2 similar products or users.

Module 3

Data Pipelines

Skills mastered
  • Extract/Load/Transform (ELT) process: concept and implementation with Airbyte on Kubernetes.
  • Streaming Data: real-time data ingestion and processing with Kafka.
  • Graph Data Science: creation of a data network, with the Neo4j database management system.
Automation & Workflow

In this module, you will discover the power of automation to gain efficiency! You will create automation between applications using simple tools like Zapier, and learn best practices. You will also discover how to automate your data pipeline with Airflow.

Module 4

Automation & Workflow

Skills mastered
  • Data Governance:founding principles, strategy design, roadmap definition and choice of performance indicators.
  • Cross-application automation: best practices & creation with Zapier.
  • Automate your data pipeline with Airflow.
Machine Learning Monitoring

The last step is to ensure that your application performs as expected. In this module, you will learn how to monitor your model once deployed. You will learn the basics of ML Monitoring, with Evidently AI, and discover best practices that are rarely taught and yet extremely beneficial for any Tech professional.

Module 5

Machine Learning Monitoring

Skills mastered
  • Machine Learning Monitoring: best practices and use of Evidently AI.
Final project

In this last module, you will use all what you have learned about Docker and Kubernetes to put your Machine Learning model into production. You will choose among 4 projects proposed by the Jedha team to build a Data architecture, make it scalable, build the whole data pipeline starting from the application and monitor the whole thing to make sure there are no bugs.

Module 6

Final project

Skills mastered
  • Create a Data Governance strategy.
  • Apply agile methods to Data projects.
Download our syllabus
Sessions

Learn Data Engineering at your own pace

Increase your skills in Data Science & Data Engineering easily. Online training or Bootcamp: we have a training that corresponds to your project of reconversion!

Bootcamp

  • 112 hours of classes over 3 weeks
  • Monday to Friday, 10am - 6pm
On one of our 17 campuses or online
  • Short courses
  • Limited number of students
  • Prom spirit
Read more

Online training

  • At your own pace over 8 weeks
  • 112 hours of online content
  • 1 live class per module
  • Individual coaching on demand
Distance learning
  • Adapted to your professional and personal constraints
  • Accessible worldwide
Read more

Our next training sessions

Take your training by distance learning or at one of our 17 campuses in Paris, Lyon, Lille, Marseille, Bordeaux, Toulouse, Nantes and many other cities in France and Europe.

On line
19
Nov
2023
14
Jan
2024
Individual coaching on demand
1 live class per module
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🇬🇧
🇪🇸
French
Last seats!
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On line
19
Nov
2023
14
Jan
2024
Individual coaching on demand
1 live class per module
🇫🇷
🇬🇧
🇪🇸
English
Last seats!
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Bootcamp
8
Jan
2024
26
Jan
2024
Monday to Friday
9:30am - 6pm
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French
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On line
15
Jan
2024
10
Mar
2024
Individual coaching on demand
1 live class per module
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🇬🇧
🇪🇸
French
Last seats!
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On line
15
Jan
2024
10
Mar
2024
Individual coaching on demand
1 live class per module
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🇬🇧
🇪🇸
English
Last seats!
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Bootcamp
5
Feb
2024
23
Feb
2024
Monday to Friday
9:30am - 6pm
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🇬🇧
🇪🇸
French
Last seats!
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On line
18
Mar
2024
12
May
2024
Individual coaching on demand
1 live class per module
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🇪🇸
French
Last seats!
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On line
18
Mar
2024
12
May
2024
Individual coaching on demand
1 live class per module
🇫🇷
🇬🇧
🇪🇸
English
Last seats!
Sign up
Bootcamp
22
Apr
2024
17
May
2024
Monday to Friday
9:30am - 6pm
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🇬🇧
🇪🇸
French
Last seats!
Sign up
Oops! No session in this format is planned at this time, contact us for more information

Do you need maximum flexibility? With our distance learning program, you can follow the program at your own pace online, while benefiting from individualized coaching.

Download the syllabus of our training courses

Academic and technical excellence

Learning by doing

Training adapted to your professional and personal constraints

4,98
/5
Best training in France
Best Data Science Bootcamp 2023
Best Cyber Security Bootcamp 2023
Discover the detailed program
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Course

How to apply to our Data Engineering course?

Nothing could be easier! Make an appointment with our team to refine your professional project. Depending on the course you choose and the necessary financing, your registration will take between 1 week and 1 month.

1

Prerequisites

At least 2 years of experience in Data Science is required If not, you can follow our training to become a Data Scientist.

2

Career coaching

Discuss your career plans with our admissions team.
We will recommend the most suitable course and format.

3

MCQS

Take a quick MCQ to assess your programming and mathematical skills.

4

Financing

Make your project a reality with the help of our team.
Searching for financing, putting together the file: we accompany you from A to Z.

How does the Data Engineer training work?

9h30

Course review

Guided by the teacher, start the day by reviewing the concepts from the previous class.

10h

Theoretical course

Every day, discover new theoretical concepts accompanied by our teacher.

11h30

Putting it into practice

Before lunch, apply the concepts you have just learned with simple exercises.

13h30

Challenges

You will be challenged and put into practice in a very professional way: to achieve this, you will be supported by our Teacher Assistants.

16h

Office Hours

Work on the day's lessons and projects independently.

18h

Events

Participate in our events to build your professional network and learn more about the industry.

Build your future in data

Our distance learning course adapts to your personal constraints while offering you a real individualized follow-up: you are accompanied from start to finish!

‍Working supports

‍Benefit fromlifetime access to our e-learning platform JULIE : 

  • Written & video courses
  • Exercises
  • Projects‍

Pedagogical support

‍Enjoythe best coaching ever offered in distance learning: 

  • Teaching Assistants available daily from 5:00 pm to 7:00 pm
  • 7 hours of live instruction per module
Build your future in data
Download our syllabus
Financing

Training Costs

Included in the course :

  • Access to courses for life
  • Close educational support
  • JULIE e-learning platform
  • Career coaching

Bootcamp

2 995 €

On line

2 995 €

Hired or Refunded Guarantee

We believe in you and our program. If you don't get a job within 6 months of becoming certified, we will refund your tuition. Learn more about our program

How to finance your training to become a Data Engineer?

  • Public funding

Our diploma course is eligible for numerous public funding programs: CPF, Pôle Emploi (AIF or POEI), Transition Pro, local funding.

  • Payment in installments

Pay in 3 instalments free of charge, or spread your training costs over several monthly instalments (up to 10) with Pledg.

  • Your employer or your OPCO

If you are employed, your employer can finance your training, either directly or through its OPCO. Our teams will help you put together a file.

  • Low-interest loans

Finance your data analysis training with preferential-rate student loans from our partner Crédit du Nord.

Apply for the Course
Download our syllabus
Certification

Validate your skills with our certification

After completing our Data Engineer training, you will be able to take the first block of the Data Science Developer certification created by Jedha, a level 6 diploma (Bac +3/4) registered with the RNCP and recognized by the State.

Our Data Engineering training is eligible to CPF and to various other financing from Pôle Emploi or your OPCO thanks to this certification.

However, it is imperative to follow our training in Data Science to be able to validate all the blocks of competences necessary to obtain the certification.

Discover our certification

Download the syllabus of our training courses

Academic and technical excellence

Learning by doing

Training adapted to your professional and personal constraints

4,98
/5
Best training in France
Best Data Science Bootcamp 2023
Best Cyber Security Bootcamp 2023
Discover the detailed program
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Testimonials

Succeed in your transition to Data Engineer

Choose one of the best training courses to become a Data Engineer. We've helped dozens of professionals hone their Data Science & Data Engineering skills and move on to more technical, higher-paying jobs in the field.

We were accompanied with passion and enthusiasm: Laurent is very competent technically to approach complex subjects, but also, very pedagogical to teach them well. Excellent training to learn about Data Engineering.

Arturo Guizar

 - 

CTO @ Datalo.co, Data Consulting

@

French Tech logo

Very, very dense training, and very enriching! Our teacher Samuel was always available and attentive throughout the course.

Lucas Guivier

 - 

Data Engineering Consultant

@

French Tech logo

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

 - 

Data Consultant

@

French Tech logo
+1900
Students who have followed one or
several of our courses
87
 %
Of professional integration
within 6 months
4.98
 /5
Average rating awarded
by our students
Download our syllabus

The opportunities of our training in Data Engineering

Our Data Engineering training will allow you to reach a higher level of expertise and access more technical jobs in the field: Data Engineer, Machine Learning Engineer, ML Ops. It's the perfect follow-up to your career as a Data Scientist, or if you've just started training to become a Data Scientist.

Data Engineer

It is a highly technical job! The Data Engineer is in charge of designing, building and managing Data infrastructures. He is the one who allows the work of Data Scientists to have a concrete application by putting their models into production.

Data Science and Data Engineering taught by professionals

They are the Jedha masters! Our trainers and content creators are active professionals in the Data field. As Lead Data Scientists or Data Engineers themselves, they have a real technical expertise in Data Engineering that they pass on to you during the training.

Guillaume Manderscheid
Guillaume Manderscheid
Data Scientist / Data Engineer Freelance
 @
Beyond being a fine popularizer, Guillaume is marked by his passion for Tech. Having first worked for important structures in the energy sector (notably at ENGIE), he flew to San Francisco where he worked as a Data Scientist / Data Engineer.
[...]
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Guillaume Manderscheid
In San Francisco, he worked not only on modelling, but also on deployment. It was at this point that he made a shift to Data Engineering by joining Strateos as a Data Engineer. When he came back to Paris, he rediscovered his passion for teaching and delivered courses on each of our 3 Data programs.
Read Less
Habib Herbi
Habib Herbi
Big Data Cloud Engineer
 @
Société Générale
All the skills taught in the Lead training, Habib uses them in his daily work at Société Générale! The perfect opportunity to ask him for advice on these technologies.
[...]
Read More
Habib Herbi
All the skills taught in the Lead training, Habib uses them in his daily work at Société Générale! Habib has been working on data infrastructures since 2016. After a university career and his first professional experience in Algeria, Habib worked successively at IRCAM, Kimia Lab, BioTech Kimia in the health field. He then worked for almost 3 years at Devoteam where he contributed greatly to the construction of Data pipelines. Since September 2019, Habib has been working for Société Générale where he manages the entire Big Data stack, from ETL process management to optimization.
Read Less
Laurent Morelli
Laurent Morelli
Co-founder
 @
Timelight
Laurent is as good a manager as he is a technician! Laurent teaches Data Science as well as Data Engineering and will give you precious advice on the direction to take in your projects, all with the aim of making you more autonomous.
[...]
Read More
Laurent Morelli
Laurent is as good a manager as he is a technician. He worked for more than 3 years at Matters Startup Studio, a company developing web applications. As Head of AI, he developed the whole Data department on various issues. He then created 2 companies. The first one, Paprika, helping startups with Machine Learning methods and the second one, Timelight in March 2019. Timelight is a tool helping companies in their analysis of temporal data: precious advice to ask Laurent!
Read Less
Download our syllabus
FAQ
Your questions about training

What is the difference between a Data Engineer and a Data Scientist?

How do I become a Data Engineer?

What is the salary of a Data Engineer?

What are the pre-requisites to join the Lead course?

Are 112 hours of training sufficient to master Data Engineering skills?

Have a question? Ask our Admissions team

Apply to

Download the syllabus of our training courses

Academic and technical excellence

Learning by doing

Training adapted to your professional and personal constraints

4,98
/5
Best training in France
Best Data Science Bootcamp 2023
Best Cyber Security Bootcamp 2023
Discover the detailed program
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Request a Copy of Our Syllabus
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