Deep Learning on AWS Eğitimi

We recommend that attendees of this course have the following prerequisites:

• Basic understanding of machine learning processes
• Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK
• Basic knowledge of a scripting language e.g. Python

• Deep Learning uygulamalarından sorumlu geliştiriciler
• Deep Learning’in ardındaki kavramları anlamak ve AWS üzerinde bir Deep Learning çözümünü nasıl hayata geçireceklerini öğrenmek isteyen geliştiriciler

This course teaches you how to:

• Define machine learning and deep learning.
• Identify the concepts in a deep learning ecosystem.
• Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads
• Fit AWS solutions for deep learning deployments.

This course covers the following concepts:

• Introduction to Machine Learning
• Introduction to Deep Learning
  • Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perceptron model
• Introduction to MXNet on AWS
  • Lab 2: Running a convolutional neural network model and predicting images on CIFAR-10 dataset
• Deploying Deep Learning Workloads on AWS
  • Lab 3: Deploying a Deep Learning model for predicting images using AWS Lambda