Artificial Intelligence and Big Data in python, cql, java programming,...

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From 35 € /h

In this course that I teach in engineering school, you go from scratch and learn programming in Artificial Intelligence, supervised and unsupervised learning and their connections with databases

or in python programming, java _jee _spring, ... or in big data: cassandra, mongodb,...

A 10-hour course will allow you to pass a certification in the chosen language or field and to find a job or become efficient...

Location

Online from Spain

About Me

Trainer Consultant (Blend-learning) Machine Learning - Database -Big Data - AI - Development Python-Java Spring JEE-PHPOO

Methodologies
PROJECT MANAGEMENT MS PROJECT & AGILE METHODS UC D52
MPM, PERT CPM, OBS, WBS, PBS, S-curves, workflow, cashflow…
Agile methods RAD, SCRUM, KANBAN

UML2 (From Merise to UML2) UC D41.2.2
Analysis and modeling OBJET vs MERISE (Power AMC, ArgoUML…)
Study of diagrams, transition between diagrams and MDA (Java, C++)

MERISE Bachelors, Masters 1 and Computer Science
Design of DBMS, Power AMC, Visio, Modelio (MCD, MCT, MOT...)

R-OR-OO Databases
ORACLE - PL/SQL –SQL3 UC D41.2.3 / UC D51.5
Administration and architecture (OFA, SGA, PGA, Processes...)
PL/SQL: trigger, stored procedures, functions, cursor, varray
Oracle OBJECT, Classes, OID, Navigational Diagram, Object Mapping
Express, 10G, 11G, Navicat, sql developer, sql plus, Apex…

SQL SERVER SSIS, SSAS, SSRS, TRANSACT SQL Professionals
Administration and architecture (Memory, Processes...) Enterprise Manager
Transact-SQL: trigger, stored procedures, functions, cursor, recursive
Object Mapping, Decision Modeling, Star, Proba/statistics, AI

BIG DATA – NNO SQL
Mongo DB, Cassandra, Hadoop, ElacticSearch, Spark Icadémie- Solutec
Datamining and Machine Learning - Advanced Python
Descriptive and predictive methods (supervised and unsupervised) Icadémie
Analysis of algorithms (Kmeans, Kohonen, CART, etc.)

Developments
ASP.NET, C, C++, C#, VB.net …Visual Studio .net Master2 Info
Web service REST CRUD Web API… Analysis and developments
Classes, Events, Threads, Error handling, Interfaces, …

JAVA JSE JEE SPRING UC D41.2.1 M2I IB Training
JDBC, UML2, JERSEY JSP SERVLET JPA SPRING REST WEB API

RUBY / RUBY on RAILS UC D51.4
Language, Concepts, analysis and development of MVC architectures

NODE JS EXPRESS, SOCKET.IO, BROWSIFY Master2 Info Icadémie
Web service REST CRUD Web API… Analysis / developments

Python, FLASK, DJANGO, object, DB. Thread M2I - IB Training
Web service REST CRUD Web API… developments

PHP, CSS, JAVASCRIPT, ASP, MYSQL, ZEND, JOOMLA... UC D31
Concepts, analysis and development of third-party web architectures
Management of website projects: showcase, catalog, dynamics, e-commerce
WordPress, Joomla, LARAVEL, ZF2, Symfony, Drupal, Doctrine…

Artificial Intelligence: AI certified Sup info
Python, Prolog, Lisp, Expert Systems... Master1 and Master2
Concept of agents, Search for solutions, Trees, Neural networks...

Education

MASTER IN INFORMATION SYSTEMS and ARTIFICIAL INTELLIGENCE
Thesis on an Autonomous Mobile Robot Project (EMA Lab) (AI, C, Prolog, Ultra Sound Sensor, Odometry, electronics, etc.)
Neural Networks – Autonomous Mobility
Cognitive engineering - Expert systems

School of Mines (BAC+6)
ADVANCED ROBOTIC DEA
Memory on a tri-digital artificial hand with tactile sense from the CNRS
Research in Hostile Environments for Robots from CEA and IFREMER

ENSAM-INSTN (BAC+5)

Experience / Qualifications

Master in AI and BIG DATA (IT Expert - RNCP) designer of the RNCP repository
Mongodb-Cassandra -Hadoop-HDFS -Map Reduce -HBASE -HIVE…
Machine Learning – Python – CNN – RNN – TREE – Datamining…
JAVA JEE – MVC – REST -SPRING – JDBC -POO -ANDROID…
Python – Flask -Django - ORM - ODM -Mongodb -Redis.
Ruby - RAILS – PHP OO -XML -SYMPHONY – ORACLE RO…
Artificial Intelligence Masters in Computer Science RNCP from SUPINFO
Functional programming in Lisp & Python…first order logic, Predicates, swi_Prolog, expert systems, Neural networks…
UML2 (from MERISE to UML2) Masters in Computer Science SUPINFO
OBJECT and MERISE analysis and modeling (Power AMC, ArgoUML, etc.)
Studies, transition between diagrams and MDA (Java, C++, etc.)
ORACLE and PLSQL Masters 1 and 2 IT FEDE
OBJECT and MERISE analysis and modeling (Power AMC, ArgoUML, etc.)
Studies, transition between diagrams and MDA (Java, C++, etc.)
Project Management and Agile Methods Masters in Computer Science RNCP
Methods and planning (MPM, PERT CPM, OBS, WBS, PBS...)
Resource and cost management (S-curves, workflow), SCRUM
Visual studio.net &Mobile Masters 1 and 2 IT FEDE
Application design and development in ASP. NET (Web Api..)
Studies of OOP and languages C++, C #, VB…Windows Xamarin
JAVA JSE/ JEE Masters 1 and 2 Computer Science FEDE
Application design and development with Eclipse / Android
Studies of OOP, JSP, JDBC, Sockets, Servlet, Multithreading...
Ruby On Rails Masters 2 Computer Science FEDE
Application design and development with ROR
Studies of OOP, REST CRUD applications

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

French

English

Spanish

Skills

Computer science

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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📝 Targeted exercises adapted to your level

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Never give sensitive data (social security number, passwords, bank details) to an AI.

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How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

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The future: Will AI replace us or assist us?

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