LEARNING FORMAT

100% ONLINE

EUROPEAN CREDITS

6 ECTS

CERTIFICATION

GOOGLE

DURATION

6 MONTHS

OVERVIEW

The AI and Big Data architect must master 3 environments at the heart of this GRADEO :

  • The management of DATA, both structured with pre-definition of a fixed schema (SQL3, OQL), semi-structured with meta data (SparQL) and unstructured (NOSQL, New SQL) as well as the concepts of DATA WAREHOUSE and DATA LAKE.
  • The analysis of DATA with computer methods (Data Mining and OLAP), statistics (Machine learning in supervised or unsupervised mode) or based on AI with the fundamental approach of Deep Learning (multi-layer neural networks)
  • The Cloud which is the future of DATA management and analysis

Job role : this GRADEO prepares you to become a Big Data architect in the cloud.

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COURSES

This GRADEO includes 2 university courses taught by teachers from ESTIA engineering school and 2 industrial courses in partnership with Google Cloud. An academic course is generally divided into 6/7 modules, each one being delivered over a period of one week and 6/7 consecutive weeks. Each module represents 5 hours of student work per week.

  • Strategic vision on big data economy around technical disruptions
  • N.O. SQL and NEW SQL
  • Category theory
  • Graph query languages
  • The map/reduce paradigm Hadoop presentation
  • Advanced Hadoop development Apache Spark
  • Mathematical Tools
  • Basics of Machine Learning
  • Learning with Shallow Architectures
  • Learning with Deep Architectures
  • Computer Vision, Natural Language
  • Mining and preparing your data with BigQuery
  • Creating new BigQuery datasets and viewing insights
  • Get advanced insights with BigQuery
  • Apply machine learning to your data with GCP
  • Google Cloud Platform Basics: Basic Infrastructure
  • Google Cloud Infrastructure Essentials: Foundation
  • Google Cloud Core Infrastructure: Core Services
  • Google Cloud Elastic Infrastructure: Scaling and automation
  • Google Cloud Reliable Infrastructure: Design and process
  • Introduction to digital transformation with Google Cloud
  • Innovating with data and Google Cloud
  • Modernizing infrastructure and applications with Google Cloud
  • Understanding Google Cloud security and operations

PRE-REQUISITES

Learners must master basic mathematics (linear algebra, graph theory) and basic computer science: SQL (potentially GRADEO on SQL programming) and PYTHON (undergraduate level).

FEES

Full Payment
2160 € (VAT included)

KEY BENEFITS

  • Open to any computer scientist for continuous education (no academic prerequisites)
  • 6-month accelerated program (or more if needed for the academic courses)
  • Providing double certification: an academic certificate from ESTIA corresponding to 6 ECTS & a professional certification from Google
  • Preparing for jobs

COMPANIES

If you are an organization wishing to register a group of employees for this training, we invite you to contact us in order to propose a partnership including benefits.

Contact us

FAQ

Contrary to the MSc eBIHAR, the GRADEO courses are not eligible for payment in several instalments.
Simply click on the Apply Now button. You will then need to fill out a short form and pay the registration fee. You will receive your registration confirmation within 48 hours by email as well as your login details for the learning platforms. And the GRADEO adventure will begin for you! 
If you are interested in the concepts of Big Data and Artificial Intelligence in the cloud, and if you wish to be able to present in your resume a certificate that proves your skills in the field in order to apply for a job in tension as a Big Data architect, this program is made for you. Whether you are an employee, a freelancer, a job seeker, or a student, you can organize your courses at your own pace within 6 months. The academic courses allow you to acquire the fundamental theoretical notions and concepts in order to have all the tools in hand to master the practice that the professional course brings you. 
This program will be of great benefit to you if you want to boost your career and be sure to become a valuable asset to your company by mastering skills and tools that are in high demand. It can also be very beneficial if you are looking for a job, freelancing or studying and your goal is to acquire new skills that are in high demand on the market and that will allow you to have more career opportunities and projects! 
The academic courses are to be taken on Moodle platform and the professional courses on the learning platform of the industrial company concerned. For example, for this GRADEO, the professional course will be available on Coursera platform which is in partnership with Google Cloud.
You only need a computer and an internet connection.
At the end of this program, you will be able to master the theory and practice of the concepts covered, from Big Data to Artificial Intelligence, including an apprenticeship in data specialization. Recruiters are looking for skills today, and we'll teach them to you!
Not one, but three certifications are delivered at the end of the program if you pass your academic and professional exams. ESTIA will issue you a certificate of achievement corresponding to 6 ECTS for your entire program, and if you pass your Google exams, you will have in your pocket two professional certifications that are highly prized by recruiters in the tech world. The certificate of achievement is therefore very valuable to you! 
ECTS is the acronym for European Credits Transfer System: these are the credits delivered by higher education institutions in Europe and allowing to validate a level of study. 
It is totally possible to extend the duration of your program! Just keep in mind that your professional course and the corresponding exam session have a duration of 6 months and this duration is inflexible. Academic courses can be extended to a maximum of 12 months. To do so, you will have to contact our team so that we can help you in this process. After 12 months without a grade on your academic exam, we will be obliged to consider this as a program withdrawal. 
Tout l'année !
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