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Technologies / Artificial Intelligence

Artificial intelligence (AI) using H2O

The training focuses on the practical use of the H2O platform in artificial intelligence projects. Participants will learn advanced machine learning and deep learning techniques using H2O's scalable tools. The program covers both theoretical fundamentals and practical applications in real business scenarios. Classes are conducted in a workshop format using real data sets.

Issues

  • H2O Platform

  • Machine learning algorithms

  • Deep learning

  • Automatic machine learning

  • Tuning models

  • Scaling AI solutions

  • Data processing

  • Transfer learning

  • Monitoring of models

  • Performance optimization

  • Integration of systems

  • AI best practices

Benefits

  • The participant will gain the ability to design and implement AI solutions using H2O
  • He or she will learn to effectively use advanced machine learning algorithms
  • Will learn techniques for optimizing and scaling AI models in a production environment
  • Will be able to implement and manage deep learning models
  • Will gain knowledge of best practices in AI projects
  • Will learn to automate machine learning processes

Who is this training for?

Data Scientists
Machine learning engineers
Data analysts interested in AI
AI/ML programmers
Predictive modeling specialists
Researchers in the field of artificial intelligence
AI solution architects
AI project managers

Prerequisites

  • Knowledge of the basics of machine learning
  • Programming experience
  • Basic knowledge of statistics
  • Understanding analytical processes

Training program

01

Platform architecture

  • Configuring the environment
  • Integration with tools
02

Data preparation

  • Machine learning in H2O
  • Supervised learning algorithms
  • Unsupervised learning
  • Hyperparameter tuning
  • Automatic machine learning
03

Deep learning

  • Neural networks in H2O
  • Network architectures
04

Transfer learning

  • Optimization of models
  • Implementation and management
05

Scaling models

  • Performance monitoring
06

Update models

  • Integration with systems

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 intelligence (AI) using H2O we recommend: Knowledge of the basics of machine learning; Programming experience; Basic knowledge of statistics.

What is the format and duration of this training?

The training lasts 2 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: Data Scientists; Machine learning engineers; Data analysts interested in AI.

Monika Fengler
Monika Fengler Opiekun szkolenia

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Funding Options

Check funding options for your company

Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

Check availability
Up to 100%

National Training Fund

Up to 100% funding for employers

Learn more

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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