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Technologies / Artificial Intelligence

Introduction to the use of neural networks

The training introduces participants to the basics of neural networks operation and application. The program is based on practical workshops, during which participants learn the fundamentals of designing, training and implementing basic neural network models. The class combines theory and practice, enabling participants to understand key concepts and gain practical skills in the use of neural networks.

Issues

  • Neural network architecture

  • Machine learning algorithms

  • Activation functions

  • Back propagation

  • Optimization of models

  • Data preparation

  • Validation of models

  • Quality assessment

  • Use cases

  • Tools for training

  • Good implementation practices

  • Debugging models

Benefits

  • Upon completion of the training, the participant will understand the fundamental principles of neural networks
  • Practical skills in designing simple neural network models
  • To prepare data for training machine learning models
  • Will develop the ability to select an appropriate network architecture for a specific problem
  • Will be able to train and evaluate the quality of neural network models independently
  • Will gain the ability to implement basic solutions based on neural networks

Who is this training for?

Programmers getting started with AI
Data analysts looking to expand their competencies
Software engineers interested in ML
IT professionals planning to expand into AI
Scientists and researchers from various fields
Technical students

Prerequisites

  • Basic knowledge of programming
  • Knowledge of mathematics at the academic level
  • Fundamentals of statistics and linear algebra
  • Ability to think analytically

Training program

01

Construction and architecture of neural networks

  • Neurons and network layers
  • Activation functions
02

Signal propagation

  • Network learning process
  • Learning algorithms
  • Loss functions
03

Gradient optimization

  • Model validation
  • Practical implementation
  • Data preparation
  • Architecture design
04

Training the model

  • Evaluation of results
  • First implementation
  • Choice of use case
  • Implementation of the solution
05

Testing the model

  • Analysis of results

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the Introduction to the use of neural networks training for?

This training is designed for professionals looking to develop skills in introduction to the use of neural networks. Required level: beginner.

How long is the Introduction to the use of neural networks training?

The training lasts 1. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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2500+ trainings available
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