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Technologies / Artificial Intelligence

Azure Machine Learning (AML) - advanced techniques

Advanced training on the Azure Machine Learning platform, focusing on complex implementation and optimization scenarios for ML solutions. The program covers advanced techniques for processing data, creating custom algorithms and optimizing model performance. Participants work on real-world use cases, developing practical skills in designing and implementing advanced ML solutions.

Issues

  • Advanced Azure ML

  • Distributed training

  • Deep learning

  • Data pipelines

  • Feature engineering

  • Ensemble learning

  • Transfer learning

  • Interpretation of models

  • Performance optimization

  • Scaling up solutions

  • ML architecture

  • Advanced monitoring

This training is part of the path:

Benefits

  • The participant will develop advanced skills in using the Azure Machine Learning platform to develop complex AI solutions
  • Will gain in-depth knowledge of techniques for optimizing and scaling ML models in the Azure environment
  • Will learn to design and implement efficient large-scale data processing pipelines
  • Will learn advanced techniques for training and tuning ML models
  • Will develop the ability to create custom machine learning algorithms
  • Will gain hands-on experience in implementing advanced deployment scenarios

Who is this training for?

Experienced Data Scientists working with Azure ML
ML Engineers specializing in Azure
AI/ML solution architects
ML model optimization specialists
Senior Data Scientists
Technical Leaders of ML teams
AI engineers developing advanced models

Prerequisites

  • Hands-on experience with Azure ML
  • Advanced knowledge of Python
  • Solid knowledge of machine learning
  • Experience in ML projects

Training program

01

Architecture of complex ML solutions

  • Custom learning algorithms
02

Distributed training

  • Performance optimization
  • Large-scale data processing
  • Advanced data pipelines
03

Stream processing

  • Feature engineering techniques
  • Data quality management
  • Models and algorithms
  • Ensemble learning
  • Deep learning in Azure ML
04

Transfer learning

  • Techniques for interpreting models
  • Implementation and optimization
  • Advanced deployment scenarios
  • Cost optimization
  • Scaling up solutions
  • Advanced 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 Azure Machine Learning (AML) - advanced techniques we recommend: Hands-on experience with Azure ML; Advanced knowledge of Python; Solid knowledge of machine learning.

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: Experienced Data Scientists working with Azure ML; ML Engineers specializing in Azure; AI/ML solution architects.

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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