AWS Speciality Level,\u00a0 Duration: 1 Day,\u00a0 Online or On-Site<\/p>\n<\/div>
Deep Learning On AWS<\/h1><\/div><\/div><\/div><\/div><\/div>Why Study This Course<\/h2><\/div>In this course, you\u2019ll learn about AWS\u2019s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works.<\/p>\n
You\u2019ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You\u2019ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.<\/p>\n
This intermediate-level course is delivered through a mix of instructor-led training (ILT), hands-on labs, and group exercises.<\/p>\n<\/div><\/div><\/div>
![\"AWS-trainings\"](\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27640%27%20height%3D%27640%27%20viewBox%3D%270%200%20640%20640%27%3E%3Crect%20width%3D%27640%27%20height%3D%27640%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" "\\"AWS-trainings\\"")
<\/span><\/div><\/div><\/div><\/div><\/div>What you will learn<\/h3><\/div>\n- In this one-day course, you will learn cloud-based deep learning (DL) solutions on the AWS platform.<\/li>\n
- You will learn how to run your models on the cloud using Amazon EC2\u2012based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWS frameworks.<\/li>\n
- In addition, you will learn how to use Amazon SageMaker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS)\u2014all while designing intelligent systems on AWS.<\/li>\n<\/ul>\n<\/div>
Course Objectives<\/h3><\/div>This course teaches you how to:<\/p>\n
\n- Define machine learning and deep learning.<\/li>\n
- Identify the concepts in a deep learning ecosystem.<\/li>\n
- Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads.<\/li>\n
- Fit AWS solutions for deep learning deployments.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
Target Audience<\/h3><\/div>This course is intended for:<\/p>\n
\n- Developers responsible for developing Deep Learning applications<\/li>\n
- Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS<\/li>\n<\/ul>\n<\/div>
Prerequisites<\/h3><\/div>We recommend that attendees of this course have the following prerequisites:<\/p>\n
\n- Basic understanding of machine learning processes<\/li>\n
- Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK<\/li>\n
- Basic knowledge of a scripting language (e.g., Python)<\/li>\n<\/ul>\n<\/div><\/i><\/div><\/div>
Shareable Certificate<\/strong><\/h3><\/div>Earn a Cerfiticate upon completion<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>On Demand, Live Online, Face to Face<\/strong><\/h3><\/div>Start instantly and learn at your own schedule<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Flexible Schedule<\/strong><\/h3><\/div>Set and maintain flexible deadlines<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Speciality Level<\/strong><\/h3><\/div>For those with working experience or likely to have completed foundation level training<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>English<\/strong><\/h3><\/div>English<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
Why Study This Course<\/h2><\/div>In this course, you\u2019ll learn about AWS\u2019s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works.<\/p>\n
You\u2019ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You\u2019ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.<\/p>\n
This intermediate-level course is delivered through a mix of instructor-led training (ILT), hands-on labs, and group exercises.<\/p>\n<\/div><\/div><\/div>
<\/span><\/div><\/div><\/div><\/div><\/div>What you will learn<\/h3><\/div>\n- In this one-day course, you will learn cloud-based deep learning (DL) solutions on the AWS platform.<\/li>\n
- You will learn how to run your models on the cloud using Amazon EC2\u2012based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWS frameworks.<\/li>\n
- In addition, you will learn how to use Amazon SageMaker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS)\u2014all while designing intelligent systems on AWS.<\/li>\n<\/ul>\n<\/div>
Course Objectives<\/h3><\/div>This course teaches you how to:<\/p>\n
\n- Define machine learning and deep learning.<\/li>\n
- Identify the concepts in a deep learning ecosystem.<\/li>\n
- Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads.<\/li>\n
- Fit AWS solutions for deep learning deployments.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
Target Audience<\/h3><\/div>This course is intended for:<\/p>\n
\n- Developers responsible for developing Deep Learning applications<\/li>\n
- Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS<\/li>\n<\/ul>\n<\/div>
Prerequisites<\/h3><\/div>We recommend that attendees of this course have the following prerequisites:<\/p>\n
\n- Basic understanding of machine learning processes<\/li>\n
- Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK<\/li>\n
- Basic knowledge of a scripting language (e.g., Python)<\/li>\n<\/ul>\n<\/div><\/i><\/div><\/div>
Shareable Certificate<\/strong><\/h3><\/div>Earn a Cerfiticate upon completion<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>On Demand, Live Online, Face to Face<\/strong><\/h3><\/div>Start instantly and learn at your own schedule<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Flexible Schedule<\/strong><\/h3><\/div>Set and maintain flexible deadlines<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Speciality Level<\/strong><\/h3><\/div>For those with working experience or likely to have completed foundation level training<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>English<\/strong><\/h3><\/div>English<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
In this course, you\u2019ll learn about AWS\u2019s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works.<\/p>\n
You\u2019ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You\u2019ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.<\/p>\n
This intermediate-level course is delivered through a mix of instructor-led training (ILT), hands-on labs, and group exercises.<\/p>\n<\/div><\/div><\/div>
![\"AWS-trainings\"](\"https:\/\/www.cloudmetrik.com\/wp-content\/uploads\/2021\/11\/service-04.jpg\" "\\"AWS-trainings\\"")
<\/span><\/div><\/div><\/div><\/div><\/div>What you will learn<\/h3><\/div>\n- In this one-day course, you will learn cloud-based deep learning (DL) solutions on the AWS platform.<\/li>\n
- You will learn how to run your models on the cloud using Amazon EC2\u2012based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWS frameworks.<\/li>\n
- In addition, you will learn how to use Amazon SageMaker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS)\u2014all while designing intelligent systems on AWS.<\/li>\n<\/ul>\n<\/div>
Course Objectives<\/h3><\/div>This course teaches you how to:<\/p>\n
\n- Define machine learning and deep learning.<\/li>\n
- Identify the concepts in a deep learning ecosystem.<\/li>\n
- Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads.<\/li>\n
- Fit AWS solutions for deep learning deployments.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
Target Audience<\/h3><\/div>This course is intended for:<\/p>\n
\n- Developers responsible for developing Deep Learning applications<\/li>\n
- Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS<\/li>\n<\/ul>\n<\/div>
Prerequisites<\/h3><\/div>We recommend that attendees of this course have the following prerequisites:<\/p>\n
\n- Basic understanding of machine learning processes<\/li>\n
- Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK<\/li>\n
- Basic knowledge of a scripting language (e.g., Python)<\/li>\n<\/ul>\n<\/div><\/i><\/div><\/div>
Shareable Certificate<\/strong><\/h3><\/div>Earn a Cerfiticate upon completion<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>On Demand, Live Online, Face to Face<\/strong><\/h3><\/div>Start instantly and learn at your own schedule<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Flexible Schedule<\/strong><\/h3><\/div>Set and maintain flexible deadlines<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Speciality Level<\/strong><\/h3><\/div>For those with working experience or likely to have completed foundation level training<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>English<\/strong><\/h3><\/div>English<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
- \n
- In this one-day course, you will learn cloud-based deep learning (DL) solutions on the AWS platform.<\/li>\n
- You will learn how to run your models on the cloud using Amazon EC2\u2012based deep learning Amazon Machine Image (AMI) and Apache MXNet on AWS frameworks.<\/li>\n
- In addition, you will learn how to use Amazon SageMaker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS)\u2014all while designing intelligent systems on AWS.<\/li>\n<\/ul>\n<\/div>
Course Objectives<\/h3><\/div>
This course teaches you how to:<\/p>\n
- \n
- Define machine learning and deep learning.<\/li>\n
- Identify the concepts in a deep learning ecosystem.<\/li>\n
- Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads.<\/li>\n
- Fit AWS solutions for deep learning deployments.<\/li>\n<\/ul>\n<\/div><\/div><\/div>
Target Audience<\/h3><\/div>
This course is intended for:<\/p>\n
- \n
- Developers responsible for developing Deep Learning applications<\/li>\n
- Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS<\/li>\n<\/ul>\n<\/div>
Prerequisites<\/h3><\/div>
We recommend that attendees of this course have the following prerequisites:<\/p>\n
- \n
- Basic understanding of machine learning processes<\/li>\n
- Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK<\/li>\n
- Basic knowledge of a scripting language (e.g., Python)<\/li>\n<\/ul>\n<\/div><\/i><\/div><\/div>
Shareable Certificate<\/strong><\/h3><\/div>
Earn a Cerfiticate upon completion<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>On Demand, Live Online, Face to Face<\/strong><\/h3><\/div>
Start instantly and learn at your own schedule<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Flexible Schedule<\/strong><\/h3><\/div>
Set and maintain flexible deadlines<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>Speciality Level<\/strong><\/h3><\/div>
For those with working experience or likely to have completed foundation level training<\/p>\n<\/div><\/div><\/div><\/div>
<\/i><\/div><\/div>English<\/strong><\/h3><\/div>
English<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>
![\"Cloudmetrik](\"https:\/\/www.cloudmetrik.com\/wp-content\/uploads\/2022\/01\/austin-distel-wawEfYdpkag-unsplash-1.jpg\")
<\/a><\/span><\/div><\/div><\/div><\/div>