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Since June 2020
Instructor since June 2020
Translated by GoogleSee original
IT Course Level 2 for Students in French Schools
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From 60 € /h
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The second year is oriented towards design and integration activities; the training allows students to confront more complex problems: information systems, real time, networks, distributed architectures, artificial intelligence, compilation, production management ...

The emphasis is on coordination within the group: work sometimes stops after the detailed design.
Extra information
Bring your computer
Location
location type icon
Online from France
About Me
Pedagogy approved for more than 30 years in the training of students, employees, job seekers, change assistance, upgrading in the largest French training companies: Bull Formation, Demos, Atos, Cegos, ...
Education
Doctorate in Deductive Databases at the University of Paris-Sud Computer Science Research Laboratory Bat 490 Orsay
Master's degree in computer science applied to management at the Institut Supérieur de Gestion
Experience / Qualifications
Doctorate in Deductive Databases at the University of Paris-Sud Computer Science Research Laboratory Bat 490 Orsay
Master's degree in computer science applied to management at the Institut Supérieur de Gestion
Age
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
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
Are you going to continue your studies in France?
In the first year of computer science, we try to ensure that students master:
the techniques,
the tools,
basic methods: design methods, algorithms, languages, operating systems, components of computing machines, etc.
Read more
PROGRAMMING

C language
C ++ language
HTML language
CSS language
JavaScript language> NodeJs> JQuery> Ajax> Json
XML language: XPath, Xslt, Xlink, Fop, Sax, Dom,
Language Java, Struts, Spring, JSF, JEE, EJB
Scala language
Language PHP, ZendFramework, CodeIgniter, Symphony, Mantis, Testmaker,
Language COBOL 1 COBOL 2 COBOL Object MicroFocus Fujitsu PacBase
FORTRAN language
LISP language, PROLOG
UML language
SQL language

MODELIZATION

Object Design Patterns,
Python language, Web Scraping, Scrapy, Selenium, BeautifulSoup
BigData Hadoop, Spark, Hive, Oozie, Zookeeper, Pig, Flume,
Neo4J, Redis
Elasticsearch, Kibana, Logstash
DataScience R language

DATABASES or INFORMATION SYSTEM

Database Oracle, Mysql, Sybase, Ingres, Universe, Informix, Access

FRAMEWORKS

BPM: jBPM, Camunda
ETL: Talend, Datastage
ERP: Odoo
CMS: Drupal
CRM: SugarCRM
E-Commerce: Prestashop, Magento
BI Lumira Business Objects

DEVOPS

Sonar code review,
Maven, Gradle, Continuous Integration Jenkins, Archiva, Confluence, Jira
JUnit test
Read more
Show more
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AI is not a movie robot: Difference between fiction and reality.

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

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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.

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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.

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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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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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I also give effective work methods that will allow him to progress much more quickly and so he can regain self-confidence.

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Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.
Good-fit Instructor Guarantee
favorite button
message icon
Contact Mohamed