Deep Learning on AWS Training in Republic of the Philippines

  • Learn via: Classroom
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From €1,241+VAT
We can host this training at your preferred location. Contact us!

Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning solutions on Amazon Web Services (AWS). The training will detail how deep learning is useful and explain its different concepts. This course also teaches you how to run your models on the cloud using Amazon Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework. In addition, you will gain a better understanding of deploying your deep learning models using AWS services like AWS Lambda and Amazon EC2 Container Service (Amazon ECS) while designing intelligent systems on AWS, based on Deep Learning.

Target Audience

  • Developers responsible for developing Deep Learning applications
  • Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS

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

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


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Republic of the Philippines facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
13 January 2025
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
22 January 2025
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
23 January 2025
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
13 January 2025
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
22 January 2025
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
23 January 2025
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
02 April 2025
Quezon City, Manila, Davao City
1 Day
Classroom / Virtual Classroom
20 April 2025
Quezon City, Manila, Davao City
1 Day

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Deep Learning on AWS Training Course in Philippines

The Philippines, officially the Republic of the Philippines, is an island country of Southeast Asia. The island country is located in the western Pacific Ocean, and consists of approximately 7.640 islands. And those islands are categorized under three main geographical divisions: Mindanao, Luzon and Visayas. Manila is the capital city of the Philippines and the resort island in the Western Visayas region, Boracay is one of the most popular vacation spots.

The climate of the Philippines is tropical and monsoonal. From May to October, rain-bearing winds blow from the southwest while drier winds come from the northeast from November to February. That's why the best time to visit the Philippines is during the dry season between November and April.

Discover a wealth of IT courses tailored to your needs, encompassing programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Let our experienced instructors guide you through hands-on training and offer valuable insights at any location of your preference within Philippines.
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