Deep Learning on AWS Training

Design and train Deep Learning apps on Cloud faster

  • Master key concepts and fundamentals of Deep Learning & Machine Learning
  • Build custom environments on Cloud with Deep Learning
  • Training from an AWS Training Partner (ATP)
  • 400,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Deploy Deep Learning Models on AWS

Deep Learning is the future & the future is now. Organizations around the globe are turning to Deep Learning solutions for accurate insights and predictions. So, professionals with Deep Learning & Machine Learning expertise are in great demand. You can capitalize on this demand & build a dream career in Cloud with our expert-led Deep Learning on AWS training.

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  • 1 day of live interactive instructor-led training

  • Get mentored by Amazon Certified Trainers

  • Identify concepts of the Deep Learning ecosystem

  • Get introduced to Apache MXNet

  • Hands-on training on a CIFAR-10 dataset

  • Use AWS services like AWS Lambda for deployment

Accredited by

The KnowledgeHut Edge

Live Instructor-Led Training

Learn from certified AWS instructors in live classes. Understand, engage, and master key concepts.

AWS Approved Curriculum

Empower yourself with the latest terminologies and stay relevant with the latest courseware updated by the AWS

Real-World Scenarios

Get practical case studies based on real-world environment. Understand concepts through relatable examples.

Industry Experts

Learn from industry veterans. Get mentored by trainers who have years of experience in this field.

Acquire In-Demand Skills

Use a suite of advanced AWS services to implement Deep Learning solutions on Cloud

Comprehensive Feedback

Get detailed reviews and feedback on your learning and understanding from AWS experts.


Prerequisites for Deep Learning on AWS

  • Basic understanding of ML processes 
  • Basic understanding of AWS core services  
  • Basic understanding of a scripting language like Python

Who Should Attend this Course

Developers accustomed to Deep Learning applications

Developers looking to implement Deep Learning solution on AWS

Deep Learning on AWS Schedules

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What You Will Learn

Machine Learning Concepts

Understand the importance of ML, discover common challenges in ML, and the latest ML frameworks

Deep Learning Concepts

Get a complete understanding of DL concepts and learn to train DL models on the AWS platform

Leverage Amazon SageMaker

Learn to use Amazon SageMaker for running a multi-layer perception on a neural network model

Setting Up Deep Learning AMI

Running multi-layered perception neuron model with the help of a Deep Learning AMI instance

Use Apache MXNet

Understand the benefits of MXNet and learn about convolutional neural networks (CNN) architecture

Deploying Deep Learning

Learn to use AWS services like AWS Lambda for deploying a fully scalable Deep Learning model on Cloud

Transform Your Workforce

Drive Growth with Deep Learning on AWS

Empower your team to design, develop, and implement Deep Learning applications on AWS faster and attain your scalability goals.

  • Leverage Immersive Learning
  • Implement deployment strategies
  • Deploy Deep Learning models
  • Implement an automated infrastructure

500+ Clients

Deep Learning on AWS Curriculum

  • A brief history of AI, ML, and DL
  • The business importance of ML
  • Common challenges in ML
  • Different types of ML problems and tasks
  • AI on AWS 
  • Introduction to DL
  • The DL concepts
  • A summary of how to train DL models on AWS
  • Introduction to Amazon SageMaker
  • Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model 
  • The motivation for and benefits of using MXNet and Gluon
  • Important terms and APIs used in MXNet
  • Convolutional neural networks (CNN) architecture
  • Hands-on lab: Training a CNN on a CIFAR-10 dataset
  • AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk)
  • Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition)
  • Hands-on lab: Deploying a trained model for prediction on AWS Lambda 


Deep Learning on AWS - Certification

This Deep Learning on AWS course is designed to help you get acquainted with advanced Machine Learning and Deep Learning concepts. By the end of the course, you will learn how to deploy Deep Learning on AWS.

This is an advanced level training course that helps you to develop advanced Machine Learning and Deep Learning skills to train Deep Learning models. Also, you get to use state-of-the-art AWS services like AWS Lambda for deployment of Deep Learning solutions on AWS.

By the end of this course, you will learn to:

  • Form a solid Machine Learning base
  • Form a solid Deep Learning base
  • Use Amazon SageMaker for running multi-layer perceptions
  • Set up Deep Learning AMI
  • Deploy Deep Learning models with AWS Lambda

The Deep Learning on AWS training is suitable for professionals who have:

  • A basic understanding of ML processes
  • A basic understanding of AWS core services such as Amazon EC2 and AWS SDK
  • A basic understanding of a scripting language like Python

This course is tailor-made for:

  • Developers accustomed to Deep Learning applications
  • Developers looking to implement Deep Learning solution on AWS

Deep Learning on AWS Workshop Experience

KnowledgeHut is an AWS Training Partner (ATP) and our trainers are Amazon Certified Trainers with years of professional experience.

This course is offered online as live, interactive, trainer-led sessions where you can learn directly from top experts.

Our courses are delivered through live interactive virtual classrooms and can be structured according to the requirements of the course.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced Power platform practitioner. The focus is on finding practical solutions to real-world scenarios in various projects environments, both big and small.

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience.

The sessions cannot be recorded. It will be auto-recorded on our LMS.

Yes, you can switch your start date with prior notice of at least 24 hours and subject to availability in the desired batch.