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INTRODUCTION TO BIG DATA AND ARTIFICIAL INTELLIGENCE

Benefits

Know how the data available in the company could be extracted, managed and used to turn it into valuable information for decision making.

Introduction

Artificial Intelligence is already a constant in our lives and directly affects the business prospects of many companies. Current AI techniques make it possible to process a large amount of information and obtain conclusions that can be very valuable. Large technology companies are perfectly aware of the value of their users' data and know how to exploit that information to obtain enormous benefits.
Large amounts of data are generated in all companies, although most of it (more than 90%) is not used at all. If only part of this information flow were used, many company processes could be improved: commercial, production, logistics processes, etc.
At the end of the course, attendees will have a practical and global vision of how artificial intelligence can be used to exploit and obtain value from much of the data generated in the company itself and that is currently not used for anything.

 

Addressed to

-Managers and middle managers. -People interested in these issues.

Objectives

- Understand and differentiate concepts such as Big Data, Business Intelligence, IoT, IA among others.
- Know and know how to use basic tools of each field.
- Identify and select possible points of application with the new knowledge acquired.

Contents

1. Introduction to Big Data, Business Intelligence, artificial intelligence and sentiment analytics. 
        -Big Data Management.
        -Practice and use of SQL and noSQL systems.
        -Security and data consistency: Hadoop.
2. Artificial intelligence.
        -Bases of artificial intelligence.
        -Search algorithms.
        -Artificial intelligence in games.
        -Automatic learning.
3. Sentiment analytics.
        -The problem of networks and the volume of data.
        -Basic natural language processing.
        -Classification of feelings and opinions in social networks.
        -Analysis of facial emotions with Artificial Vision.
4. Recommender systems.
        -Operation of recommendation systems.




Type

Permanent

Mode of delivery

Onsite

Methodology

The course methodology combines: knowledge transfer, examples of AIDIMME's own experiences and practice. The students will work individually on a PC solving exercises.

Dates

Permanent

Available from

3/1/2022

Duration

10 teaching hours

Site

AIDIMME C / Benjamin Franklin 13 (Technology Park) 46980 Paterna (Valencia)

Application

Open

Certificación

Certificate of attendance issued by AIDIMME. Minimum attendance of 75% of the teaching hours.

Cost

Non-associated company: € 189 + 21% VAT / - 13% Associated company advantage / Unemployed people check price. * AIDIMME, as the organizing entity of FUNDAE, will be able to manage the part of the course to be rewarded at no additional cost.

Teachers

MODIA POZUELO, GABRIEL DAVID
 
My name is Gabriel Modia, I am a Graduate in Mathematics and Computer Science from the Complutense University of Madrid. I started my career as a technical consultant in Banking. Since 2018 I am a data analyst and software developer at AIDIMME. Teaching has always been part of my profession, which allows me to put myself in the place of students, understand their difficulties and help them overcome them.
   

To perform the preregistration, please,

INFORMATION AND PRE-REGISTRATIONS
AIDIMME - Training Department
961366070 Phone | Fax: 961366185 e-mail: rigual@aidimme.es | www.aidimme.es


Since the NUMBER OF PLACES is LIMITED, if they are interested in participating in these courses, they must communicate it, as soon as possible, by sending the duly completed pre-registration form (one for each student), before the indicated date, in order to close the participation in it. Admission will be made by pre-registration order and your acceptance will be communicated to the company.