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Technologies / Artificial Intelligence

Kubeflow on AWS - machine learning in the cloud

Advanced training on implementing and managing machine learning solutions in an AWS environment using the Kubeflow platform. The training program combines practical aspects of ML task orchestration with advanced techniques for deploying models in a production environment. Through an intensive workshop, participants will learn the full lifecycle of an ML project, from data preparation to model training to deployment and monitoring in production. The training uses real-world use cases and MLOps best practices, providing a comprehensive understanding of the manufacturing process in machine learning projects.

Issues

  • Kubeflow Architecture

  • ML experiment management

  • Distributed model training

  • Data processing pipelines

  • Model versioning

  • Performance monitoring

  • Serving predictions

  • Optimization of resources

  • ML process automation

  • Scaling up solutions

  • Environmental management

  • MLOps best practices

Benefits

  • The training will develop practical skills for implementing ML projects in an AWS production environment
  • Upon completion of the course, efficiency in managing the lifecycle of machine learning models will increase
  • The experience gained will enable the implementation of efficient and scalable MLOps solutions
  • Practical knowledge will enable optimization of ML model training and deployment processes
  • The acquired skills will accelerate the organization's transformation towards mature ML practices
  • Of the Kubeflow platform will increase efficiency in automating ML processes

Who is this training for?

ML engineers involved in model implementations
Data Scientists moving into production roles
MLOps and DevOps specialists
AI/ML solution architects
ML application developers
Data engineers working with ML projects
Teams responsible for ML platforms

Prerequisites

  • Basic knowledge of machine learning
  • Experience with Kubernetes
  • Knowledge of AWS basics
  • Python programming skills

Training program

01

Solution architecture

  • Configuring the environment
  • Integration with AWS services
  • Management of computing resources
  • Data processing and experimentation
  • Data processing pipelines
  • Experiment management
02

Tracking models

  • Data and code versioning
  • Model training and optimization
03

Scattered training

  • Hyperparameter tuning
  • GPU resource management
  • Performance monitoring
  • Implementation and monitoring
  • Model deployment strategies
04

Serving predictions

  • Performance monitoring
  • Model version management

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 Kubeflow on AWS - machine learning in the cloud training for?

This training is designed for professionals looking to develop skills in kubeflow on aws - machine learning in the cloud. Required level: advanced.

How long is the Kubeflow on AWS - machine learning in the cloud training?

The training lasts 4. 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.

Bożena Machowska-Worek
Bożena Machowska-Worek 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.

500+ experts
2500+ trainings available
ISO 9001 quality certified
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Call us +48 22 487 84 90