Docker End to End Implementation faq

learnersLearners: 1
instructor Instructor: Krish Naik instructor-icon
duration Duration: 3.00 duration-icon

This course provides an end-to-end implementation of Docker, covering topics such as why and what Docker is, Docker containers, virtualization in machine learning, building a Flask app for bank note authentication, and deploying machine learning models using Flask and FastAPI. Participants will gain a comprehensive understanding of Docker and its applications in machine learning.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

Learners can learn from Docker End to End Implementation in a variety of ways. Firstly, they can gain an understanding of why and what Docker is, as well as how it works with virtualization in machine learning. Secondly, they can learn how to build a Flask app for bank note authentication, and how to deploy machine learning models using Flask and Flasgger. Thirdly, they can learn how to install Docker in Windows and other operating systems, as well as how to use Docker commands. Fourthly, they can learn how to write, build, and run Docker images. Finally, they can learn how to deploy machine learning models using StreamLit library and how to deploy machine learning pipelines using Dockers and Kubernetes.

[Applications]
After completing this course, participants should be able to apply the knowledge gained to create and deploy Docker containers for their own applications. They should be able to use Docker commands to build, run, and manage Docker images. Additionally, they should be able to use StreamLit and Flasgger to deploy Machine Learning models and pipelines using Dockers and Kubernetes.

[Career Paths]
1. DevOps Engineer: DevOps Engineers are responsible for managing the development, testing, and deployment of applications and services. They are responsible for automating processes, setting up and maintaining infrastructure, and ensuring that applications are running smoothly. They must be knowledgeable in both software development and system administration. As the demand for DevOps Engineers continues to grow, they must stay up to date with the latest technologies and trends in the industry.

2. Cloud Engineer: Cloud Engineers are responsible for designing, building, and maintaining cloud-based systems. They must be knowledgeable in cloud computing technologies, such as Docker, Kubernetes, and AWS. They must also be able to troubleshoot and optimize cloud-based systems. As cloud computing continues to grow in popularity, Cloud Engineers must stay up to date with the latest technologies and trends in the industry.

3. Data Scientist: Data Scientists are responsible for analyzing large amounts of data and extracting insights from it. They must be knowledgeable in data analysis, machine learning, and statistics. As the demand for data-driven insights continues to grow, Data Scientists must stay up to date with the latest technologies and trends in the industry.

4. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models. They must be knowledgeable in machine learning algorithms, software engineering, and data engineering. As the demand for machine learning applications continues to grow, Machine Learning Engineers must stay up to date with the latest technologies and trends in the industry.

Course Provider

Provider Youtube's Stats at AZClass

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faq FAQ for Docker Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Youtube, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 1 people have participated in this course. The duration of this course is 3.00 hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Youtube's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Youtube may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Docker courses and certifications, our extensive collection at azclass.net will help you.

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