Data

Artificial Intelligence Overview

Panorama de l'intelligence Artificielle

Duration

1 Day

Languages

French - English

Trainer(s)

Srikanth RAMANOUDJAME - Lead Digital Future Astrakhan

Recent progress, the maturation of the Big Data ecosystem, and large development communities have resulted in the rapid and massive introduction of Machine Learning construction projects and models. The ecosystem revolving around Machine Learning is large and varied, but artificial intelligence, bringing together complementary functionalities and applications, should be highlighted. Some of them are also widely used in certain sectors and industries.

In this program, you will discover a set of AI techniques and approaches, especially the methods, tools, and techniques of Data Science involved in the construction of Machine Learning models and their added business value. We will also present the main principles of Deep Learning, robotics and its evolutions, as well as the catalogs of AI services available online.

Target audience

  • All profiles

Prerequisites

  • General knowledge about Data Challenges and domains

Course Delivery

On site,
in your offices

Remote,
via Teams

Podcasts

Training Program

The various fields of artificial intelligence and their applications

  • The various fields of artificial intelligence
  • Solvers
  • Multi-Agents
  • Approaches are still experimental
  • Advances in machine learning

Data Science and Machine Learning – The prevailing paradigm

  • Data Science methods,​
  • A technological ecosystem that is still evolving​
  • Synergy with Big Data technologies​
  • A large development community​
  • Machine Learning: training data, modeling data and test data​
  • Accelerated learning and backpropagation​
  • Data pre-processing​
  • Introduction to AutoML

Introduction to Deep Learning​

  • Neuron and gradient descent,​
  • Neural networks,​
  • Regression model performance,​
  • NAS (Neural Architecture Search),​
  • Unsupervised Deep Learning,​
  • Computer Vision,​
  • Natural Language Processing.​

Robotics and its evolutions

  • Definition and typology of robots
    • Demonstrators
    • Service Robots 
    • Reactive and cognitive robots
  • Main applications and state of the art
  • Emerging applications
    • Robotics and Machine Learning
    • Bionic prostheses

AI Cloud Services Catalogs ​

  • Main vendors
    • The Azure Platform
    • The AWS Platform
    • The Google (GCP)  Platform
  • The other vendors​

Retrospective – Q&A

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