Technologies / Artificial Intelligence

Machine Learning with Python - extended course

Advanced training on machine learning in Python, which presents in-depth the theoretical foundations and practical applications of ML. The program covers a wide range of topics, from classical algorithms to the latest trends in machine learning. The workshop combines a solid theoretical foundation with an intensive practical component, allowing participants to gain comprehensive skills in the ML area.

Issues

Machine learning theory
Deep Learning
Transfer Learning
MLOps and deployments
Optimization of models
Interpretation of results
Data processing
Feature engineering
Monitoring of models
Scaling up solutions
Life cycle of ML models
Best practices in ML

This training is part of the path:

Machine Learning Engineer

Benefits

The participant will gain in-depth theoretical and practical knowledge of machine learning
He will develop the ability to implement and optimize advanced ML algorithms in real-world projects
Will learn to effectively manage the entire lifecycle of machine learning models, from conception to production implementation
Will learn about the latest ML trends and tools and their practical applications
Will be able to design and implement scalable ML solutions taking into account industry best practices
Will develop skills in the interpretation and explainability of ML models

Who is this training for?

Data Scientists developing ML competencies

Programmers specializing in AI/ML

Data analysts moving to ML

Machine learning engineers

AI researchers

ML solution architects

Prerequisites

Advanced knowledge of Python
Fundamentals of statistics and probability calculus
Knowledge of linear algebra
Experience in data analysis

Training program

Probabilistic learning models
Optimization and regularization
Evaluation and validation of models
Advanced ML algorithms
Deep Learning and Neural Networks

Transfer Learning
Teaching through reinforcement
Practical aspects of ML
Large-scale data processing

Hyperparameter tuning
Interpretation of models
Implementation of ML solutions
MLOps and ML pipelines

Scaling up ML solutions
Model lifecycle 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

What are the prerequisites for this training?

For Machine Learning with Python - extended course we recommend: Advanced knowledge of Python; Fundamentals of statistics and probability calculus; Knowledge of linear algebra.

What is the format and duration of this training?

The training lasts 4 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 developing ML competencies; Programmers specializing in AI/ML; Data analysts moving to ML.