Technologies / Artificial Intelligence

Building Deep Learning Models with Apache MXNet

This training focuses on practical use of the Apache MXNet framework for building advanced deep learning models. Participants will learn the framework architecture, implement various types of neural networks, and optimize their performance. The program is delivered as intensive workshops where theory is immediately verified through practical implementations. Special emphasis is placed on creating efficient and scalable solutions.

Required Participant Preparation

Good knowledge of Python language
Basic understanding of deep learning
Knowledge of linear algebra and statistics
Experience working with ML libraries

Benefits

Practical knowledge of Apache MXNet
Ability to implement various deep learning architectures
Capability to optimize model performance
Knowledge of distributed training techniques
Ability to deploy models in production environments
Of deep learning best practices
Experience in model debugging
Certificate confirming acquired skills

Who is this training for?

Python developers specializing in machine learning

Machine learning engineers seeking efficient tools

Data Scientists working on scalable solutions

AI solution architects responsible for technology selection

Researchers working on advanced deep learning models

Developers migrating from other ML frameworks

R&D specialists in artificial intelligence

Technical Leaders of AI/ML teams

Training program

Comparison with other frameworks
Development environment configuration

Deep Learning Model Implementation
Building neural networks
Implementing layers and activations
Data management and batching
Model training and evaluation

Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)

Transfer learning
Optimization and Deployment
Performance optimization techniques

Model export and deployment
Monitoring and debugging

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

Training Topics

Frequently asked questions

Who is the Building Deep Learning Models with Apache MXNet training for?

The target audience includes Python developers specializing in machine learning, machine learning engineers seeking efficient tools, and Data Scientists working on scalable solutions. Level: intermediate.

How long is the Building Deep Learning Models with Apache MXNet training?

The training lasts 3 days. It is delivered online or on-site.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.

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.