GRADEO 2

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GRADEO BIG DATA AND ARTIFICIAL INTELLIGENCE

GRADEO BIG DATA AND

ARTIFICIAL INTELLIGENCE - 999€ TTC

Big data enabled (with GPU) the AI and Deep learning revival in the last decade. Learn how to build and manage BIG DATA infrastructure for data management and master the fundamentals of machine learning and promising deep learning for data analysis.

 Duration : 25 weeks        Effort : 6 hours/week

What skills will you learn ?

By the end of this GRADEO, you will:

Mastering a big data architecture with the expected SQL extensions to master N.O.SQL and NEW SQL sytems.


 Understanding the expected functionalities of next GQL (Graph Query language) standard.


 Mastering the fundamentals of machine learning and deep learning.

Date

2 Nov 2020 - 12 Apr 2021

Registration

14 Oct 2020 to 9 Nov 2021

Language

English

Price

999 €

Syllabus

This GRADEO is composed of 3 courses:


 2 academic courses from ESTIA: ARTIFICIAL INTELLIGENCE (MACHINE LEARNING AND DEEP LEARNING) and DISTRIBUTED BIGDATA MANAGEMENT

 1 course from ORACLE University: BIGDATA FUNDAMENTALS

Date

2 Nov 2020 - 12 Apr 2021

Registration

14 Oct 2020 to 9 Nov 2021

Language

English

Price

999 €

ARTIFICIAL INTELLIGENCE (MACHINE LEARNING AND DEEP LEARNING)

The DISTRIBUTED BIG DATA course encompasses 2 parts:
I- the SQL esperanto to manage any type of big data architecture with N.O.SQL and News SQL data stores (including GQL for graph management).


II- the mastering of HADOOP ecosystem (Spark, Yarn and Hive).

The AI course is a full experience going from Machine Learning basics to Deep Neural Networks applied to Language and Vision.

The course introduces the mathematical tools needed to gain a deep understanding of the basic notions of Machine Learning and deep learning and discusses common implementational issues, by reviewing some popular software libraries to speedup development of Machine Learning and Deep learning algorithms.

Dates : 2 Nov 2020 - 11 Dec 2020


DISTRIBUTED BIGDATA MANAGEMENT

This course on Distributed big data management encompasses three parts :
I- Study of SQL extensions to handle any type of data : structured (objects), semi-structured and unstructured data/NO SQL).

II- Study of Graph Query Languages Primer.

III- Study of distributed processing framework to handle big data (hadoop/Spark).

Dates : 04 Jan 2020 - 19 Feb 2021


BIGDATA FUNDAMENTALS

In this course, you will learn Oracle's solution for big data and how to use Oracle Big Data Appliance to process it : data acquisition from a variety of sources, data storage with HDFS and Oracle NoSQL Database, data integration and synchronization with Oracle Big Data connectors, Oracle Data Integrator, Oracle GoldenGate and Oracle Big Data SQL, and finally data analysis using Oracle Big Data SQL, Oracle Advance Analytics, and Oracle Big Data Spatial and Graph.

Self-paced - 2 Nov 2020 - 12 April 2021


Prerequisites

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

Assessment and certification

The learner will take an exam at the end of each course. Upon successful completion of these exams, he will get a GRADEO certificate delivered by  ESTIA (recognised by 6 ECTS) along with the Oracle certification.

Course team

Serge Miranda

Professor at University Cote d'Azur (UCA).
Founder of MBDS Master at UCA and BIHAR Master at ESTIA.

Thomas Frisendal 

Graph Data Architect, VIsual Data Modeler, Online Trainer and National Member of the ISO SQL/GQL Committee. 

Benjamin Renaut 

Assistant professor at ESTIA.

Marco Gori

Professor in computer science, University of Siena, Department of Information Engineering and Mathematics.

Stefano Melacci

Assistant Professor in Computer Science, University of Siena, Department of Information Engineering and Mathematics.

License

License for the ESTIA courses content

Licenses Creative Commons BY NC ND : the user must mention the author's name, he may exploit the work except in a commercial context, he can not create a work derived from the original work.

License for the ORACLE course content

Restrictive license : Copyright © 2020 Oracle University. All rights reserved.

License for the course content created by the learners

Restrictive license : your production is your intellectual property and can not be reused.