Docker Masterclass for Machine Learning and Data Science

  • Course provided by Udemy
  • Study type: Online
  • Starts: Anytime
  • Price: See latest price on Udemy
Udemy

Course Description

Every data scientist is aware that, at some point or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define.


Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation.


You'll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker with AWS. Also, your Docker path will cover the following steps:

  • A Comprehensive Introduction to Docker

  • Getting the Docker basics down

  • Using Dockerhub

  • Docker Challenges


Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven! On top of that, the content is constantly being updated, so be sure to check every so often for new videos!


Once you're done with the course, you'll be certain you can take on any Docker challenges and ship your projects like a pro!


So, are you ready to dockerize your ML projects? Enroll now!


See you in the classroom.


Who this course is for:

  • Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow.

Instructors

Senior AI Advisor & Cybersecurity Engineer
  • 4.4 Instructor Rating
  • 1,079 Reviews
  • 58,531 Students
  • 4 Courses

I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee.

I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more.

Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services.

For more information please feel free to reach out to me on LinkedIn and Twitter.

Helping Data Scientists Succeed
  • 4.5 Instructor Rating
  • 510,085 Reviews
  • 1,809,829 Students
  • 119 Courses

Hi there,

We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more!

We are here to help you stay on the cutting edge of Data Science and Technology.

See you in class,

Sincerely,

The Real People at Ligency

Expected Outcomes

  1. Use Docker in order to build containers to deploy applications. Learn the intuition behind Docker and understand how it works. Learn the ins and outs of working with Docker Understand how to create and deploy Docker containers from scratch. You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed throughout your career. Curated for the Udemy Business collection Course content 15 sections • 83 lectures • 4h 23m total length Expand all sections Welcome 1 lecture • 4min Welcome! Preview 03:30 Introduction 14 lectures • 29min Study Tips For Success 00:48 Your Shortcut To Becoming A Better Data Scientist 02:03 Community Note 00:19 Get To Know Your Instructor 03:06 What is Docker? Preview 02:24 What is a Container? 04:33 Useful Docker Info 02:19 Installing Docker 04:23 Installing Docker for Linux 00:22 How Docker Is Useful For Data Science 01:31 Installing Anaconda 02:24 Why Anaconda? 01:27 Virtual Environment 03:26 Downloadables 00:07 Working With Docker - Basics 8 lectures • 23min Download The Files 00:07 Set Up A Simple Flask App 02:51 Dockerfile Preview 04:33 Requirements.txt 03:09 Build A Docker Image and Container 05:05 What Ports To Use? 00:46 Common Docker Commands 06:23 Docker Commands Cheatsheet 00:06 Quiz 5 questions DockerHub 8 lectures • 35min Sign Up 01:43 Docker Hub Push Image 05:22 Docker Hub Pull Image 06:01 Updating Image 02:19 Section Recap Notes 00:44 Extra - Extending An Image 05:38 Volumes 03:23 Testing a Volume 09:28 Section Quiz 5 questions Challenge 4 lectures • 10min Challenge Intro 02:47 Solution Files 00:07 Challenge Solution 06:34 Quick Notes! 00:28 Automated Builds 9 lectures • 33min Obtain The Files Here 00:13 Git Tips & Tricks 00:46 NGINX & Automation 01:35 NGINX & Automation P1 05:09 NGINX & Automation P2 04:31 NGINX & Automation P3 05:29 NGINX & Automation P4 01:44 NGINX & Automation P5 09:04 NGINX & Automation P6 04:06 File Challenge 3 lectures • 12min File Challenge Introduction & Github Classroom Link 00:33 File Challenge Part One 03:04 File Challenge Solution 08:10 Docker Compose 8 lectures • 28min Obtain The Docker Compose Resources Here 00:12 Docker Compose 03:29 Docker Compose - Jupyter 06:30 Docker Compose Challenge 04:05 Docker Compose Challenge - Part 1 06:20 Docker Compose Challenge - Part 2 03:06 Compose Building Cheatsheet 01:05 Docker Extra - Simple Jupyter Command 03:28 Docker Swarm 4 lectures • 11min Swarm Section Files 00:05 Swarm Intro 04:29 Swarm Deploy 05:48 Swarm Tips 00:48 AWS 6 lectures • 21min AWS EC2 Setup Tips 00:18 AWS Part One 02:31 AWS Part Two 05:32 AWS Part Three 06:06 AWS Part Four 03:20 AWS Extras 03:07 5 more sections Requirements The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt. Description Every data scientist is aware that, at some point or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define. Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation. You'll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker with AWS. Also, your Docker path will cover the following steps: A Comprehensive Introduction to Docker Getting the Docker basics down Using Dockerhub Docker Challenges Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven! On top of that, the content is constantly being updated, so be sure to check every so often for new videos! Once you're done with the course, you'll be certain you can take on any Docker challenges and ship your projects like a pro! So, are you ready to dockerize your ML projects? Enroll now! See you in the classroom. Who this course is for: Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow. Show more Show less Instructors Jordan Sauchuk Senior AI Advisor & Cybersecurity Engineer 4.4 Instructor Rating 1,079 Reviews 58,531 Students 4 Courses I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee. I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more. Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services. For more information please feel free to reach out to me on LinkedIn and Twitter. Show more Show less Ligency Team Helping Data Scientists Succeed 4.5 Instructor Rating 510,085 Reviews 1,809,829 Students 119 Courses Hi there, We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more! We are here to help you stay on the cutting edge of Data Science and Technology. See you in class, Sincerely, The Real People at Ligency Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677791b14bebf433',m:'3af86017c8e5dd5cb174f1a6594566a758376858-1627742294-1800-AZvMZOq7ZyEL5y64JBdvVGUMQSvZYq98r+h47IbEt6dE7G2CKlIhsj0IygbdCL/98F4Fn2bn6e4Of6mp75mMnIwWNsdUbVRAjDg5ou2nC/O0YlPp7Mqjgy0xwrWrw1gjPPmYTDLld5Vsuiu71yMTjFJytN7IatOsuebEsbaH6r/ndDDbdZDy7ZizU+LhKYjvc3u0ssvqaMRQ4mtbTMSM9uI=',s:[0xf94be3b248,0x6a7a8ff083],}})();
  2. Learn the intuition behind Docker and understand how it works. Learn the ins and outs of working with Docker Understand how to create and deploy Docker containers from scratch. You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed throughout your career. Curated for the Udemy Business collection Course content 15 sections • 83 lectures • 4h 23m total length Expand all sections Welcome 1 lecture • 4min Welcome! Preview 03:30 Introduction 14 lectures • 29min Study Tips For Success 00:48 Your Shortcut To Becoming A Better Data Scientist 02:03 Community Note 00:19 Get To Know Your Instructor 03:06 What is Docker? Preview 02:24 What is a Container? 04:33 Useful Docker Info 02:19 Installing Docker 04:23 Installing Docker for Linux 00:22 How Docker Is Useful For Data Science 01:31 Installing Anaconda 02:24 Why Anaconda? 01:27 Virtual Environment 03:26 Downloadables 00:07 Working With Docker - Basics 8 lectures • 23min Download The Files 00:07 Set Up A Simple Flask App 02:51 Dockerfile Preview 04:33 Requirements.txt 03:09 Build A Docker Image and Container 05:05 What Ports To Use? 00:46 Common Docker Commands 06:23 Docker Commands Cheatsheet 00:06 Quiz 5 questions DockerHub 8 lectures • 35min Sign Up 01:43 Docker Hub Push Image 05:22 Docker Hub Pull Image 06:01 Updating Image 02:19 Section Recap Notes 00:44 Extra - Extending An Image 05:38 Volumes 03:23 Testing a Volume 09:28 Section Quiz 5 questions Challenge 4 lectures • 10min Challenge Intro 02:47 Solution Files 00:07 Challenge Solution 06:34 Quick Notes! 00:28 Automated Builds 9 lectures • 33min Obtain The Files Here 00:13 Git Tips & Tricks 00:46 NGINX & Automation 01:35 NGINX & Automation P1 05:09 NGINX & Automation P2 04:31 NGINX & Automation P3 05:29 NGINX & Automation P4 01:44 NGINX & Automation P5 09:04 NGINX & Automation P6 04:06 File Challenge 3 lectures • 12min File Challenge Introduction & Github Classroom Link 00:33 File Challenge Part One 03:04 File Challenge Solution 08:10 Docker Compose 8 lectures • 28min Obtain The Docker Compose Resources Here 00:12 Docker Compose 03:29 Docker Compose - Jupyter 06:30 Docker Compose Challenge 04:05 Docker Compose Challenge - Part 1 06:20 Docker Compose Challenge - Part 2 03:06 Compose Building Cheatsheet 01:05 Docker Extra - Simple Jupyter Command 03:28 Docker Swarm 4 lectures • 11min Swarm Section Files 00:05 Swarm Intro 04:29 Swarm Deploy 05:48 Swarm Tips 00:48 AWS 6 lectures • 21min AWS EC2 Setup Tips 00:18 AWS Part One 02:31 AWS Part Two 05:32 AWS Part Three 06:06 AWS Part Four 03:20 AWS Extras 03:07 5 more sections Requirements The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt. Description Every data scientist is aware that, at some point or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define. Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation. You'll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker with AWS. Also, your Docker path will cover the following steps: A Comprehensive Introduction to Docker Getting the Docker basics down Using Dockerhub Docker Challenges Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven! On top of that, the content is constantly being updated, so be sure to check every so often for new videos! Once you're done with the course, you'll be certain you can take on any Docker challenges and ship your projects like a pro! So, are you ready to dockerize your ML projects? Enroll now! See you in the classroom. Who this course is for: Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow. Show more Show less Instructors Jordan Sauchuk Senior AI Advisor & Cybersecurity Engineer 4.4 Instructor Rating 1,079 Reviews 58,531 Students 4 Courses I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee. I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more. Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services. For more information please feel free to reach out to me on LinkedIn and Twitter. Show more Show less Ligency Team Helping Data Scientists Succeed 4.5 Instructor Rating 510,085 Reviews 1,809,829 Students 119 Courses Hi there, We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more! We are here to help you stay on the cutting edge of Data Science and Technology. See you in class, Sincerely, The Real People at Ligency Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677791b14bebf433',m:'3af86017c8e5dd5cb174f1a6594566a758376858-1627742294-1800-AZvMZOq7ZyEL5y64JBdvVGUMQSvZYq98r+h47IbEt6dE7G2CKlIhsj0IygbdCL/98F4Fn2bn6e4Of6mp75mMnIwWNsdUbVRAjDg5ou2nC/O0YlPp7Mqjgy0xwrWrw1gjPPmYTDLld5Vsuiu71yMTjFJytN7IatOsuebEsbaH6r/ndDDbdZDy7ZizU+LhKYjvc3u0ssvqaMRQ4mtbTMSM9uI=',s:[0xf94be3b248,0x6a7a8ff083],}})();
  3. Learn the ins and outs of working with Docker Understand how to create and deploy Docker containers from scratch. You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed throughout your career. Curated for the Udemy Business collection Course content 15 sections • 83 lectures • 4h 23m total length Expand all sections Welcome 1 lecture • 4min Welcome! Preview 03:30 Introduction 14 lectures • 29min Study Tips For Success 00:48 Your Shortcut To Becoming A Better Data Scientist 02:03 Community Note 00:19 Get To Know Your Instructor 03:06 What is Docker? Preview 02:24 What is a Container? 04:33 Useful Docker Info 02:19 Installing Docker 04:23 Installing Docker for Linux 00:22 How Docker Is Useful For Data Science 01:31 Installing Anaconda 02:24 Why Anaconda? 01:27 Virtual Environment 03:26 Downloadables 00:07 Working With Docker - Basics 8 lectures • 23min Download The Files 00:07 Set Up A Simple Flask App 02:51 Dockerfile Preview 04:33 Requirements.txt 03:09 Build A Docker Image and Container 05:05 What Ports To Use? 00:46 Common Docker Commands 06:23 Docker Commands Cheatsheet 00:06 Quiz 5 questions DockerHub 8 lectures • 35min Sign Up 01:43 Docker Hub Push Image 05:22 Docker Hub Pull Image 06:01 Updating Image 02:19 Section Recap Notes 00:44 Extra - Extending An Image 05:38 Volumes 03:23 Testing a Volume 09:28 Section Quiz 5 questions Challenge 4 lectures • 10min Challenge Intro 02:47 Solution Files 00:07 Challenge Solution 06:34 Quick Notes! 00:28 Automated Builds 9 lectures • 33min Obtain The Files Here 00:13 Git Tips & Tricks 00:46 NGINX & Automation 01:35 NGINX & Automation P1 05:09 NGINX & Automation P2 04:31 NGINX & Automation P3 05:29 NGINX & Automation P4 01:44 NGINX & Automation P5 09:04 NGINX & Automation P6 04:06 File Challenge 3 lectures • 12min File Challenge Introduction & Github Classroom Link 00:33 File Challenge Part One 03:04 File Challenge Solution 08:10 Docker Compose 8 lectures • 28min Obtain The Docker Compose Resources Here 00:12 Docker Compose 03:29 Docker Compose - Jupyter 06:30 Docker Compose Challenge 04:05 Docker Compose Challenge - Part 1 06:20 Docker Compose Challenge - Part 2 03:06 Compose Building Cheatsheet 01:05 Docker Extra - Simple Jupyter Command 03:28 Docker Swarm 4 lectures • 11min Swarm Section Files 00:05 Swarm Intro 04:29 Swarm Deploy 05:48 Swarm Tips 00:48 AWS 6 lectures • 21min AWS EC2 Setup Tips 00:18 AWS Part One 02:31 AWS Part Two 05:32 AWS Part Three 06:06 AWS Part Four 03:20 AWS Extras 03:07 5 more sections Requirements The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt. Description Every data scientist is aware that, at some point or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define. Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation. You'll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker with AWS. Also, your Docker path will cover the following steps: A Comprehensive Introduction to Docker Getting the Docker basics down Using Dockerhub Docker Challenges Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven! On top of that, the content is constantly being updated, so be sure to check every so often for new videos! Once you're done with the course, you'll be certain you can take on any Docker challenges and ship your projects like a pro! So, are you ready to dockerize your ML projects? Enroll now! See you in the classroom. Who this course is for: Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow. Show more Show less Instructors Jordan Sauchuk Senior AI Advisor & Cybersecurity Engineer 4.4 Instructor Rating 1,079 Reviews 58,531 Students 4 Courses I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee. I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more. Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services. For more information please feel free to reach out to me on LinkedIn and Twitter. Show more Show less Ligency Team Helping Data Scientists Succeed 4.5 Instructor Rating 510,085 Reviews 1,809,829 Students 119 Courses Hi there, We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more! We are here to help you stay on the cutting edge of Data Science and Technology. See you in class, Sincerely, The Real People at Ligency Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677791b14bebf433',m:'3af86017c8e5dd5cb174f1a6594566a758376858-1627742294-1800-AZvMZOq7ZyEL5y64JBdvVGUMQSvZYq98r+h47IbEt6dE7G2CKlIhsj0IygbdCL/98F4Fn2bn6e4Of6mp75mMnIwWNsdUbVRAjDg5ou2nC/O0YlPp7Mqjgy0xwrWrw1gjPPmYTDLld5Vsuiu71yMTjFJytN7IatOsuebEsbaH6r/ndDDbdZDy7ZizU+LhKYjvc3u0ssvqaMRQ4mtbTMSM9uI=',s:[0xf94be3b248,0x6a7a8ff083],}})();
  4. Understand how to create and deploy Docker containers from scratch. You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed throughout your career. Curated for the Udemy Business collection Course content 15 sections • 83 lectures • 4h 23m total length Expand all sections Welcome 1 lecture • 4min Welcome! Preview 03:30 Introduction 14 lectures • 29min Study Tips For Success 00:48 Your Shortcut To Becoming A Better Data Scientist 02:03 Community Note 00:19 Get To Know Your Instructor 03:06 What is Docker? Preview 02:24 What is a Container? 04:33 Useful Docker Info 02:19 Installing Docker 04:23 Installing Docker for Linux 00:22 How Docker Is Useful For Data Science 01:31 Installing Anaconda 02:24 Why Anaconda? 01:27 Virtual Environment 03:26 Downloadables 00:07 Working With Docker - Basics 8 lectures • 23min Download The Files 00:07 Set Up A Simple Flask App 02:51 Dockerfile Preview 04:33 Requirements.txt 03:09 Build A Docker Image and Container 05:05 What Ports To Use? 00:46 Common Docker Commands 06:23 Docker Commands Cheatsheet 00:06 Quiz 5 questions DockerHub 8 lectures • 35min Sign Up 01:43 Docker Hub Push Image 05:22 Docker Hub Pull Image 06:01 Updating Image 02:19 Section Recap Notes 00:44 Extra - Extending An Image 05:38 Volumes 03:23 Testing a Volume 09:28 Section Quiz 5 questions Challenge 4 lectures • 10min Challenge Intro 02:47 Solution Files 00:07 Challenge Solution 06:34 Quick Notes! 00:28 Automated Builds 9 lectures • 33min Obtain The Files Here 00:13 Git Tips & Tricks 00:46 NGINX & Automation 01:35 NGINX & Automation P1 05:09 NGINX & Automation P2 04:31 NGINX & Automation P3 05:29 NGINX & Automation P4 01:44 NGINX & Automation P5 09:04 NGINX & Automation P6 04:06 File Challenge 3 lectures • 12min File Challenge Introduction & Github Classroom Link 00:33 File Challenge Part One 03:04 File Challenge Solution 08:10 Docker Compose 8 lectures • 28min Obtain The Docker Compose Resources Here 00:12 Docker Compose 03:29 Docker Compose - Jupyter 06:30 Docker Compose Challenge 04:05 Docker Compose Challenge - Part 1 06:20 Docker Compose Challenge - Part 2 03:06 Compose Building Cheatsheet 01:05 Docker Extra - Simple Jupyter Command 03:28 Docker Swarm 4 lectures • 11min Swarm Section Files 00:05 Swarm Intro 04:29 Swarm Deploy 05:48 Swarm Tips 00:48 AWS 6 lectures • 21min AWS EC2 Setup Tips 00:18 AWS Part One 02:31 AWS Part Two 05:32 AWS Part Three 06:06 AWS Part Four 03:20 AWS Extras 03:07 5 more sections Requirements The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt. Description Every data scientist is aware that, at some point or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define. Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation. You'll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker with AWS. Also, your Docker path will cover the following steps: A Comprehensive Introduction to Docker Getting the Docker basics down Using Dockerhub Docker Challenges Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven! On top of that, the content is constantly being updated, so be sure to check every so often for new videos! Once you're done with the course, you'll be certain you can take on any Docker challenges and ship your projects like a pro! So, are you ready to dockerize your ML projects? Enroll now! See you in the classroom. Who this course is for: Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow. Show more Show less Instructors Jordan Sauchuk Senior AI Advisor & Cybersecurity Engineer 4.4 Instructor Rating 1,079 Reviews 58,531 Students 4 Courses I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee. I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more. Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services. For more information please feel free to reach out to me on LinkedIn and Twitter. Show more Show less Ligency Team Helping Data Scientists Succeed 4.5 Instructor Rating 510,085 Reviews 1,809,829 Students 119 Courses Hi there, We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more! We are here to help you stay on the cutting edge of Data Science and Technology. See you in class, Sincerely, The Real People at Ligency Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677791b14bebf433',m:'3af86017c8e5dd5cb174f1a6594566a758376858-1627742294-1800-AZvMZOq7ZyEL5y64JBdvVGUMQSvZYq98r+h47IbEt6dE7G2CKlIhsj0IygbdCL/98F4Fn2bn6e4Of6mp75mMnIwWNsdUbVRAjDg5ou2nC/O0YlPp7Mqjgy0xwrWrw1gjPPmYTDLld5Vsuiu71yMTjFJytN7IatOsuebEsbaH6r/ndDDbdZDy7ZizU+LhKYjvc3u0ssvqaMRQ4mtbTMSM9uI=',s:[0xf94be3b248,0x6a7a8ff083],}})();
  5. You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed throughout your career. Curated for the Udemy Business collection Course content 15 sections • 83 lectures • 4h 23m total length Expand all sections Welcome 1 lecture • 4min Welcome! Preview 03:30 Introduction 14 lectures • 29min Study Tips For Success 00:48 Your Shortcut To Becoming A Better Data Scientist 02:03 Community Note 00:19 Get To Know Your Instructor 03:06 What is Docker? Preview 02:24 What is a Container? 04:33 Useful Docker Info 02:19 Installing Docker 04:23 Installing Docker for Linux 00:22 How Docker Is Useful For Data Science 01:31 Installing Anaconda 02:24 Why Anaconda? 01:27 Virtual Environment 03:26 Downloadables 00:07 Working With Docker - Basics 8 lectures • 23min Download The Files 00:07 Set Up A Simple Flask App 02:51 Dockerfile Preview 04:33 Requirements.txt 03:09 Build A Docker Image and Container 05:05 What Ports To Use? 00:46 Common Docker Commands 06:23 Docker Commands Cheatsheet 00:06 Quiz 5 questions DockerHub 8 lectures • 35min Sign Up 01:43 Docker Hub Push Image 05:22 Docker Hub Pull Image 06:01 Updating Image 02:19 Section Recap Notes 00:44 Extra - Extending An Image 05:38 Volumes 03:23 Testing a Volume 09:28 Section Quiz 5 questions Challenge 4 lectures • 10min Challenge Intro 02:47 Solution Files 00:07 Challenge Solution 06:34 Quick Notes! 00:28 Automated Builds 9 lectures • 33min Obtain The Files Here 00:13 Git Tips & Tricks 00:46 NGINX & Automation 01:35 NGINX & Automation P1 05:09 NGINX & Automation P2 04:31 NGINX & Automation P3 05:29 NGINX & Automation P4 01:44 NGINX & Automation P5 09:04 NGINX & Automation P6 04:06 File Challenge 3 lectures • 12min File Challenge Introduction & Github Classroom Link 00:33 File Challenge Part One 03:04 File Challenge Solution 08:10 Docker Compose 8 lectures • 28min Obtain The Docker Compose Resources Here 00:12 Docker Compose 03:29 Docker Compose - Jupyter 06:30 Docker Compose Challenge 04:05 Docker Compose Challenge - Part 1 06:20 Docker Compose Challenge - Part 2 03:06 Compose Building Cheatsheet 01:05 Docker Extra - Simple Jupyter Command 03:28 Docker Swarm 4 lectures • 11min Swarm Section Files 00:05 Swarm Intro 04:29 Swarm Deploy 05:48 Swarm Tips 00:48 AWS 6 lectures • 21min AWS EC2 Setup Tips 00:18 AWS Part One 02:31 AWS Part Two 05:32 AWS Part Three 06:06 AWS Part Four 03:20 AWS Extras 03:07 5 more sections Requirements The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt. Description Every data scientist is aware that, at some point or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define. Enter Docker Masterclass for Machine Learning and Data Science. Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation. You'll learn the ins and outs of Docker, as well as Docker Swarm, Docker Compose, and using Docker with AWS. Also, your Docker path will cover the following steps: A Comprehensive Introduction to Docker Getting the Docker basics down Using Dockerhub Docker Challenges Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven! On top of that, the content is constantly being updated, so be sure to check every so often for new videos! Once you're done with the course, you'll be certain you can take on any Docker challenges and ship your projects like a pro! So, are you ready to dockerize your ML projects? Enroll now! See you in the classroom. Who this course is for: Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow. Show more Show less Instructors Jordan Sauchuk Senior AI Advisor & Cybersecurity Engineer 4.4 Instructor Rating 1,079 Reviews 58,531 Students 4 Courses I'm a Senior AI Advisor, AI & Cybersecurity Engineer, and also the founder of the Threat Intelligence Group. My goal is to help provide my experiences and expertise that have been obtained through extensive research, many late nights, and cups of coffee. I have been fortunate enough to work on a range of challenging projects worldwide and I have extensive experience specializing in technologies such as Python, R, JavaScript, C++, PHP, Tensorflow, Pytorch, Scikit-Learn, Keras, ReactJS, NodeJS, SQL, Plotly, Tesseract, Seaborn, and much more. Recently, I have launched the Threat Intelligence Group as a means of providing cybersecurity awareness, integrating AI into the security domain, and also providing consulting services. For more information please feel free to reach out to me on LinkedIn and Twitter. Show more Show less Ligency Team Helping Data Scientists Succeed 4.5 Instructor Rating 510,085 Reviews 1,809,829 Students 119 Courses Hi there, We are the Ligency PR and Marketing team. You will be hearing from us when new courses are released, when we publish new podcasts, blogs, share cheatsheets and more! We are here to help you stay on the cutting edge of Data Science and Technology. See you in class, Sincerely, The Real People at Ligency Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? 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