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- 74% Deploy Machine Learning & NLP Models with Dockers (DevOps)

Deploy Machine Learning & NLP Models with Dockers (DevOps)

$49.99 $12.99Track price

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8.1/10 (Our Score)
Product is rated as #115 in category DevOps

Machine Learning, as we know it is the new buzz word in the industry today. This is practiced in every sector of business imaginable to provide data–driven solutions to complex business problems. This poses the challenge of deploying the solution, built by the Machine Learning technique so that it can be used across the intended Business Unit and not operated in silos.

This is an extensive and well–thought course created & designed by UNP’s elite team of Data Scientists from around the world to focus on the challenges that are being faced by Data Scientists and Computational Solution Architects across the industry  which is summarized the below  sentence :

I HAVE THE MACHINE LEARNING MODEL, IT IS WORKING AS EXPECTED !! NOW, WHAT ?????  

This course will help you create a solid foundation of the essential topics of data science along with a solid foundation of deploying those created solutions through Docker containers which eventually will expose your model as a service (API) which can be used by all who wish for it.

At the end of this course, you will be able to:

Learn about Docker, Docker Files, Docker Containers

Learn Flask Basics & Application Program Interface (API)

Build a Random Forest Model and deploy it.

Instructor Details

At UNP our vision is to make learning fun, fulfilling and personalized. We are working towards democratizing data science and breaking down the entry barrier to analytics and data science world. We are committed to develop and publish top-notch data science learning materials. The materials are designed to make the students ready for the data science industry. All the contents developed at UNP are digital, either as e-books, video lectures, VR classrooms. Apart from distributing contents to individuals, we provide support for learning materials for corporate clients. The learning materials are developed only by experienced data science professionals and professors from tier 1 universities. Every material goes through strict review procedure before it gets published. Every material coming out from UNP is accompanied by code snippets, application to industrial projects and tips to prepare for a job interviews. Aligned with our vision, UNP scholarship program is set to provides learning opportunities for students with financial challenges.

Specification: Deploy Machine Learning & NLP Models with Dockers (DevOps)

Duration 4 hours
Year 2018
Level Intermediate
Certificate Yes
Quizzes Yes

14 reviews for Deploy Machine Learning & NLP Models with Dockers (DevOps)

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  1. Avatar

    Mishumo Dzhivhuho

    Audible

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  2. Avatar

    Tom Dakin

    The instructor should hide the Spyder console and file explorer whilst presenting it is not good to not be able to see all of his code as he is writing it. Also, the additional elements involving Excel seem like an unnecessary distraction here. I would have preferred to see the course more focused. Finally, whilst I understand the instructor’s motivations for allowing us to see him debug errors live, I think there is a little too much of this. Frequently, whilst coding along, I would spot his error as he made it, correct it on my own code and then have to wait for him to discover it himself and go back and fix it. A little bit of debugging is good, but a lot just makes it seem like the instructor didn’t want to go to the effort of editing the videos. I did learn what I came to the course for how to dockerise an ML app, and the section on WSGIs was very useful indeed. Many thanks!

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  3. Avatar

    Tanaj Kamheangpatiyooth

    An absolutely stunnig course!

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  4. Avatar

    Raihan Shafique

    Awesome course! To the point and for advanced user who wants to go the the next level. I would expect more examples as suggested by the instructor to try reading and writing on sql, or file etc which will greatly enhance the course even further.

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  5. Avatar

    Richard He

    Very clear goal setting for the course

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  6. Avatar

    Der Krikorian

    Introduction plut t claire. Explications d taill es

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  7. Avatar

    Deependra Thagunna

    I like the way how the teacher guided us by real time code writing, make the basics very clear. I would appreciate if he could also cover aws deployment with best software engineering practices in a same way of real time code writing

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  8. Avatar

    Wyatt Hensley

    Thank you for providing this course! I was looking for a quick way to get into using Docker and priding my Flask apps to end users. Not only did I learn how to do this, but I learned some other cool tricks along the way! I do feel more confident in deploying Docker applications now and cannot wait to introduce this to my workflow at work! Pronunciation and audio quality were top notch as well as a fast paced approach to your instructions. I also really appreciate you keeping your errors in the videos. This truly helps us students out in my opinion. Thank you!

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  9. Avatar

    Subashini Rajan

    It was really nice to understand about docker. It would be really helpful and nice if you continue the same course to deploy models in Kuberenets

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  10. Avatar

    Kuat Madeniyet

    Expected to get other information, lost time on debugging, no notes about possible occurring problems

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  11. Avatar

    Sathiyaseelan S

    Great Going so far, I have found the explanation simple and neat and helps to grab the topic clearly .

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  12. Avatar

    Aanish Singla

    Its a great course to start learning about flask, docker and taking it to web servers like Apache.

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  13. Avatar

    Edgar Valdez

    The instructor doesn’t sound very knowledgeable of the topics the code is not pythonic at all, the examples are VERY basic, seems like he compiled a bunch of resources from internet and made a course out of that (all smoke and mirrors).

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  14. Avatar

    Veeresh Elango

    This course provided me the knowldege of dockersing my ML models so that any could run it without fighting for any system dependencies.

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    Deploy Machine Learning & NLP Models with Dockers (DevOps)
    Deploy Machine Learning & NLP Models with Dockers (DevOps)

    $49.99 $12.99

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