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

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

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

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

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

ArangoDB

Introducing the ArangoDB-DGL Adapter - Part 2.8

Learn how to export ArangoDB graphs to DGL using the ArangoDB-DGL adapter, enabling seamless integration with major deep learning frameworks for graph-based machine learning applications.

• YouTube
• 17 minutes
• On-Demand
• Free Video

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (Korean)

Dive into Amazon SageMaker의 모델 훈련 프로세스를 마스터하고 컴퓨팅 환경 선택부터 딥러닝 프레임워크 활용까지 실무적인 ML 모델 개발 기술을 습득하세요.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (Deutsch)

Entdecke den Modelltrainingsprozess mit Amazon SageMaker, lerne optimale Rechenumgebungen auszuwählen und nutze vorgefertigte Frameworks wie TensorFlow und PyTorch für effiziente ML-Modellentwicklung.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (繁體中文)

深入了解 Amazon SageMaker 模型訓練過程，掌握如何選擇最佳運算環境、使用內建演算法和指令碼模式，以及整合外部模型與優化訓練時間的技術。

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (Español LATAM)

Descubre cómo entrenar modelos de ML con Amazon SageMaker, seleccionando entornos de computación adecuados, utilizando contenedores Docker, y optimizando el tiempo de entrenamiento con diversos marcos como TensorFlow y PyTorch.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (Français)

Découvrez les fondamentaux de l'entraînement de modèles ML avec Amazon SageMaker, en apprenant à sélectionner les environnements de calcul optimaux et à utiliser efficacement les frameworks comme TensorFlow et PyTorch.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (Español de España)

Descubre los elementos clave del entrenamiento de modelos en AWS, desde la selección del entorno de computación hasta el uso de SageMaker, contenedores Docker y marcos como TensorFlow, junto con técnicas para optimizar el rendimiento.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (Italiano)

Scopri come addestrare modelli ML con Amazon SageMaker, selezionare ambienti di calcolo ottimali e ridurre i tempi di addestramento usando algoritmi integrati e framework come TensorFlow.

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

Amazon Web Services;  Amazon

AWS ML Engineer Associate 2.2 Train Models (العربية)

تعمق في تدريب نماذج التعلم الآلي باستخدام Amazon SageMaker واختيار بيئات الحوسبة المناسبة وتقنيات تحسين الأداء لبناء نماذج دقيقة وفعالة.

• 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