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Technologies / Artificial Intelligence

Artificial neural networks, machine learning and deep thinking

The training offers a comprehensive look at advanced artificial intelligence techniques, combining neural network theory with practical machine and deep learning. The program guides participants through advanced concepts, algorithms and methodologies, enabling them to understand and put into practice the latest advances in AI. Hands-on workshops allow participants to implement and experiment with different types of models on their own.

Issues

  • Deep network architectures

  • Mechanisms of attention

  • Transfer learning

  • Multitasking learning

  • Transformers

  • Optimization of models

  • Experiment management

  • Scalability of solutions

  • Computing performance

  • Debugging models

  • Advanced metrics

  • Production deployments

Benefits

  • Upon completion of the training, the participant will gain in-depth knowledge of advanced artificial intelligence techniques
  • He will be able to design and implement complex neural network architectures
  • He will develop the ability to apply advanced machine learning techniques in practice
  • Will learn to optimize and tune advanced AI models
  • Will gain experience in implementing state-of-the-art solutions based on transformers and attention mechanisms
  • Will be able to manage complex AI projects in a production environment

Who is this training for?

Machine learning specialists
AI engineers working on advanced projects
AI research scientists
ML/DL solution architects
Experienced AI developers
Data science experts

Prerequisites

  • Practical knowledge of machine learning
  • Experience in the implementation of neural networks
  • Advanced knowledge of mathematics and statistics
  • Knowledge of deep learning frameworks

Training program

01

Deep network architectures

  • Mechanisms of attention
02

Recursive networks

  • Transformers
  • Specialized learning techniques
03

Transfer learning

  • Multitasking learning
  • Federation learning
  • Teaching reinforcement
  • Implementation of advanced models
  • Architectural design
  • Training strategies
  • Performance optimization
04

Debugging models

  • Manufacturing solutions
  • Scalability of models
  • Optimization of resources
  • Experiment management
  • Production monitoring

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

What are the prerequisites for this training?

For Artificial neural networks, machine learning and deep thinking we recommend: Practical knowledge of machine learning; Experience in the implementation of neural networks; Advanced knowledge of mathematics and statistics.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Machine learning specialists; AI engineers working on advanced projects; AI research scientists.

Klaudia Janecka
Klaudia Janecka 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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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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