Course information

Deep Learning on AWS Course Outline

Module 1: Introduction to Deep Learning on AWS

  • Deep Learning on AWS

Module 2: Deep Learning Process for Build, Train, and Deploy

  • Collect Data
  • Choose and Optimise Your Algorithm
  • Set Up and Manage the Environment for Training
  • Train, Retrain, and Tune the Models
  • Deploy Models in Production
  • Scale and Manage the Production Environment

Module 3: Challenges with Deep Learning Projects

  • Software Management
  • Performance Optimisation
  • Collaborative Development
  • Infrastructure Management
  • Scalability

Module 4: Highly Optimised AWS Technology Building Blocks for Deep Learning

  • Storage
  • Compute
  • Software
  • Networking and Solutions

Module 5: Code, Data, and Model Versioning

  • Version Code with Git
  • Version Data in Amazon S3
  • Version Model in Amazon S3

Module 6: Automation of Deep Learning Process for Retrain and Redeploy

  • AWS Step Functions for Amazon SageMaker
  • Apache Airflow for Amazon SageMaker
  • Kubeflow Pipelines on Kubernetes

Module 7: Patterns for Deep Learning at Scale

  • Options for Deep Learning on AWS
  • Use Amazon SageMaker
  • Use Kubernetes with Kubeflow on AWS
  • Use Amazon EC2

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Who should attend this Deep Learning on AWS Course?

This Deep Learning on AWS Training is designed for professionals who want to gain expertise in Deep Learning techniques and apply them using Amazon Web Services tools and resources. This AWS Certification Training Course can be beneficial to a wide range of professionals, including:

  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Deep Learning Engineers
  • Software Developers
  • Data Analysts
  • Computer Vision Engineers

Prerequisites of the Deep Learning on AWS Course

There are no formal prerequisites to attend the Deep Learning on AWS Training.  

Deep Learning on AWS Course Overview

This Deep Learning on AWS Training is meticulously crafted to equip individuals with the expertise and capabilities required to thrive in the swiftly advancing realm of Deep Learning. Mastering Deep Learning models on Amazon Web Services (AWS) isn't just pertinent; it's pivotal for maintaining competitiveness and fueling innovative breakthroughs. Mastery of Deep Learning on AWS is imperative for Data Scientists, Machine Learning Engineers, and AI Practitioners.

This proficiency empowers them to harness AWS's robust cloud infrastructure effectively in creating, training, and deploying deep learning models at scale. Specifically designed for professionals seeking to excel in Deep Learning techniques and unlock the complete potential of AWS services for Machine Learning, this course is an ideal resource.

The Knowledge Academy’s intensive 1-day training, focused on AWS Certifications, empowers delegates with the practical knowledge and hands-on experience needed to navigate the intricate realm of Deep Learning on AWS confidently. Delegates will acquire a profound comprehension of AWS services, including SageMaker, EC2, and S3, and master the effective implementation of Deep Learning algorithms.

Course Objectives

  • To master the fundamentals of Deep Learning
  • To understand the AWS ecosystem for Machine Learning
  • To learn to preprocess and prepare data for Deep Learning models
  • To build and train Deep Learning models using AWS SageMaker
  • To deploy Deep Learning models to AWS for real-world applications
  • To gain insights into model optimisation and best practices
  • To explore AWS's cost-effective solutions for Deep Learning projects
  • To apply Deep Learning skills to solve real-world business challenges

After completing this AWS Course, delegates will be well-prepared to take on intricate AI projects confidently. Armed with the expertise to create, deploy, and oversee Deep Learning models on AWS, they will become indispensable assets to their organisations.

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What’s included in this Deep Learning on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Deep Learning on AWS Certificate
  • Digital Delegate Pack

Why choose us

Our Regina venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Regina, the capital city of the Canadian province of Saskatchewan, has an average population of roughly 193,100 spread across 56.2 square miles of land.  At The Knowledge Academy, we offer 50,000 classroom based training courses throughout the different areas of Regina, in order to enhance people’s learning in an array of subject areas.  Education in Canada is generally funded by federal, provincial, and local governments; the system is divided into primary, secondary and post-secondary education and is operated under provincial jurisdiction.  On the whole, there are 190 days in a school year, starting in September and ending towards the last Friday of June.  Some popular and highly regarded universities in Canada include: the University of Toronto (notable alumni including: William Lyon Mackenzie King, Vincent Massey, Donald Sutherland and Lesra Martin), the University of British Columbia (notable alumni including: Eddie Peng, Justin Trudeau and Nardwuar the Human Serviette), and the University of Alberta (notable alumni including: Dayo Wong, George Stanley and Beverley McLachlin). 

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Address

Royal Bank Building
2010 – 11th Avenue
7th Floor
Regina
Saskatchewan
S4P 0J3

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Deep Learning On AWS in Regina. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Deep Learning On AWS in Regina, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Deep Learning On AWS in Regina FAQs

Deep Learning on AWS is using Amazon's cloud services to run deep learning models. These services give you powerful computers in the cloud to train and use models that can recognise patterns or make predictions from data.
There are no prerequisites for this course.
Deep Learning on AWS Training Courses are ideal for Data Scientists, Machine Learning Engineers, and Developers who want to leverage AWS services for building, training, and deploying deep learning models.
We are able to provide support via phone & email prior to attending, during, and after the course.
This course comes with a comprehensive curriculum, a digital delegate pack with important notes related to the course, training sessions from experienced instructors, and a certificate upon completion of the course.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts.
The Deep Learning Course on AWS starts with basics, then progresses to advanced topics, helping beginners to experts learn at their own pace through step-by-step guides and practical exercises.
AWS uses services like SageMaker, EC2, and Lambda, alongside tools like TensorFlow and PyTorch, for hands-on deep learning tasks in the course.
Delegates get access to online tutorials, forums for discussion with experts and peers, and AWS credits for practice. Support continues after the course through community access and learning materials.
Completing the Deep Learning on AWS Certification Course opens careers in AI and Machine Learning, such as Data Scientist, Machine Learning Engineer, and AI Researcher across Tech, Healthcare, Finance, and more.
This course offers broad knowledge applicable to various industries, with examples and case studies from different fields to show how deep learning solves real-world problems.
AWS Certification in Deep Learning boosts professional growth by validating your skills on a global platform, increasing your visibility to employers, and positioning you for advanced roles in the AI field.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this training.
The training fees for Deep Learning on AWSin Regina starts from CAD3395
The Knowledge Academy is the Leading global training provider for Deep Learning on AWS.
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Best price in the industry

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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