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Since August 2023
Instructor since August 2023
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Artificial Intelligence and Big Data in python, cql, java programming,...
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From 35 € /h
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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
location type icon
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
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
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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Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

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3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

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

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

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.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

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We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

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A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

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arrow icon previousarrow icon next
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Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

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

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

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.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
Erik
This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
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