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Deep Learning on AWS Certification Training is unfortunately unavailable

Thankfully we have 55 other AI Classes for you to choose from. Check our top choices below or see all classes for more options.

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4 sessions

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AI Prompt Engineering for the Workforce

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This course gives participants foundational prompt engineering skills to improve productivity, strengthen clarity, and support more effective AI use at work.

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Deep Learning on AWS Certification Training

Accelerate your deep learning journey with our Deep Learning on AWS Certification Training. Gain expertise in training and deploying deep learning models using AWS services, including Amazon SageMaker and AWS Lambda. Learn the fundamentals of deep learning, explore convolutional neural networks with Apache MXNet, and discover AWS AI services like Amazon Polly and Rekognition. Ideal for professionals with a foundational understanding of machine learning and AWS.

  • All levels
  • 18 and older
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  • Online
  • 8 hours over 2 sessions

Start Dates (0) $499/person

No upcoming dates are currently available.

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Class Description

Description

Learn to train Deep Learning apps on Cloud faster with Deep Learning on AWS Training

In this Deep Learning on AWS course, you will learn the following:

1. Machine learning overview

  • 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
2. Introduction to Deep Learning
  • 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
3. Introduction to Apache MXNet Topics:
  • 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
4. ML and DL architectures on AWS
  • 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
Prerequisites:
  • Basic understanding of ML processes
  • Basic understanding of AWS core services
  • Basic understanding of a scripting language like Python

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

CANCELLATIONS BY THE PARTICIPANT

All Cancellations must be notified over email and the refunds will be provided as below:

  • Within 24 hours of registration: 95% refund
  • Less than 11 business days to the workshop: No refund. As a courtesy, we could allow you to apply 50% of your payment towards a future training program within one year of the cancellation date.
  • 1-4 business days prior to class and no-shows: No refund and no credit.

Refunds towards cancellations initiated by a customer will take up to 30 days from the receipt of written request for refund.


RESCHEDULES BY THE PARTICIPANT

All reschedules must be notified over email and the following rules will apply:

  • Greater than 11 business days to the workshop: Credit to a future workshop.
  • Less than 11 business days to the workshop: Credit to a future workshop + 10% (of Standard Course Fee) Reschedule charge.

Registrant substitutions may be made at any time.

Please note that if you do not cancel or do not attend, you would not be offered a refund nor will the amount be credited to a future training.


CANCELLATIONS / RESCHEDULES BY THE SCHOOL

The school reserves the right to substitute previously allocated presenters with alternative qualified presenters, if deemed necessary.

The school also reserves the right to cancel or reschedule events in case of insufficient registrations, or if presenters cannot attend due to unforeseen circumstances. You are therefore advised to consult a KnowledgeHut agent prior to making any travel arrangements for a workshop.

In case of a cancellation, you will be notified prior to the start date and will be offered full credit to a future event or a full refund less a 5% non-refundable registration fee, promptly.


REFUNDS FOR E-LEARNING COURSES

All cancellations must be notified over email and the refunds will be provided as below:

  • Within 48 hours of registration and before accumulating 30 minutes training: 95% refund or transfer to another online course.
  • After 48 hours of registration and after accumulating 30 minutes of training: No refund.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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KnowledgeHut

KnowledgeHut offers innovative, flexible learning solutions for professionals seeking to adapt to today's fast-paced workplace demands. With a focus on blended and e-learning methods, they provide practical training in technology and management, empowering individuals to excel in their careers.

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