Apache MXNet Courses and Certifications

AWS Machine Learning by Example

82 ratings at LinkedIn Learning

Take a deeper dive into machine learning with Amazon Web Services (AWS). Learn how to approach common machine learning tasks using key techniques.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Deep Learning Using TensorFlow and Apache MXNet on Amazon Sagemaker

14 ratings at Pluralsight

This course is an in-depth introduction to SageMaker and the support it offers to train and deploy machine learning models in a distributed environment.

• Pluralsight
• 2 hours 22 minutes
• On-Demand
• Free Trial Available

Building Deep Learning Models Using Apache MXNet

Apache MXNet is the deep learning framework which has its origins at Amazon Web Services (AWS) and is a powerful alternative to TensorFlow. This course teaches you how to build dynamic and static computation graphs using the Gluon API.

• Pluralsight
• 2 hours 3 minutes
• On-Demand
• Free Trial Available

Devoxx

Deep Learning for Developers

Explore state-of-the-art deep learning models like CNN, GAN, and LSTM through code demos. Learn to customize, deploy, and use advanced models for image detection, generation, and machine translation.

• YouTube
• 57 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Using Kubernetes for Machine Learning Frameworks

Explore Kubernetes for machine learning frameworks, covering setup, training, and inference phases. Learn to deploy TensorFlow, Apache MXNet, and PyTorch on Kubernetes clusters for efficient ML model production.

• YouTube
• 53 minutes
• On-Demand
• Conference Talk

GOTO Conferences

Deep Learning for Developers

Explore state-of-the-art deep learning techniques through code demos using Apache MXNet and Keras, covering CNN, GAN, and LSTM architectures for advanced AI applications.

• YouTube
• 55 minutes
• On-Demand
• Conference Talk

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models

Explore advanced model training techniques using Amazon SageMaker, including built-in algorithms, script mode, and optimization strategies for efficient ML workflows and reduced training time.

• AWS Skill Builder
• 1 hour 30 minutes
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

AWS Associate 2.2: Treinamento de modelos para engenheiros de ML (Português) | AWS ML Engineer Associate 2.2 Train Models (Portuguese)

Aprofunde-se no treinamento de modelos de ML usando Amazon SageMaker, explorando ambientes computacionais, algoritmos integrados, frameworks populares e técnicas de otimização para desenvolver modelos robustos e eficientes.

• AWS Skill Builder
• 1 hour 30 minutes
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (Japanese)

Amazon SageMakerを活用した機械学習モデルのトレーニング手法を学び、最適なコンピューティング環境の選択や時間短縮のテクニックを習得。組み込みアルゴリズムやスクリプトモードの活用方法も解説。

• AWS Skill Builder
• 1 hour 30 minutes
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

AWS Computer Vision: Getting Started with GluonCV

1 review

Learn to build and train computer vision models using AWS services, Apache MXNet, and GluonCV toolkit. Covers neural networks, deep learning concepts, and efficient training methods.

• Coursera
• 6 weeks
• Finished
• Free Online Course (Audit)

Amazon Web Services;  Amazon

Satellite Image Classification in SageMaker (Traditional Chinese)

Learn to classify satellite images using Amazon SageMaker, with a focus on business problem definition, data collection, and feature recognition. Less than 1-hour workload.

• AWS Skill Builder
• Finished
• Free Certificate

Amazon Web Services;  Amazon

Satellite Image Classification in SageMaker (Italian)

Learn machine learning processes and satellite image recognition with Amazon Web Services. Master data collection, classification, and use of neural networks in under 1 hour.

• AWS Skill Builder
• Finished
• Free Certificate