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Overview
In recent years, the availability of very high processing power combined with industry interest has given rise to new AI methods, such as deep learning and reinforcement learning or Generative AI . They make it possible to extract significant volumes of information in a very short time, to solve complex problems and to open up new perspectives.
Key Features
The Advanced AI for Data Analysis program at the Institut Polytechnique de Paris is designed to provide in-depth insights into these new methods and their applications to massive and highly heterogeneous data. Among the areas of application of these methods are marketing, video games, recommendation systems, text mining, neurolinguistic programming, social networks, fraud detection and image and video recognition.This training in data intelligence gives professionals the opportunity to become specialists in Data (massive data). This program is designed to learn how to collect, model, store and analyze data. It is supported by recognized teacher-researchers in the field of advance AI, and industrial data analysis (industrial data analyst).Programme Structure
Content:
- Deep Learning for Text/Natural Language Processing (NLP)Objective
- AI applied to graphs and social networks
- AI for time series, images/vision and recommendations for web marketing
- Generative AI and large pre-trained models
Key information
Duration
- Part-time
- 12 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Disciplines
Artificial Intelligence Data Analytics View 5 other Short Courses in Artificial Intelligence in FranceAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Knowledge of data sciences (algorithms, supervised and unsupervised machine learning)
- Computer skills (databases)
- Programming skills (Python)
- Math skills (statistics, probability, linear algebra)
- First experience in data science: machine learning, deep learning, unstructured data, NLP, Graph mining
- English: modules are taught in English and course materials are in English
Tuition Fee
To always see correct tuition fees
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International
12720 EUR/fullTuition FeeBased on the tuition of 12720 EUR for the full programme during 12 days. -
EU/EEA
12720 EUR/fullTuition FeeBased on the tuition of 12720 EUR for the full programme during 12 days.
Funding
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