UNP United Network of Professionals
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
Courses : 3
Specification: Deploy Machine Learning & NLP Models with Dockers (DevOps)
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14 reviews for Deploy Machine Learning & NLP Models with Dockers (DevOps)
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 4 hours |
| Year | 2018 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
![[2020] Deploying Machine Learning Models - A Complete Guide](https://courses.javacodegeeks.com/wp-content/uploads/2020/04/2877648_e078_2-300x300.jpg)
Mishumo Dzhivhuho –
Audible
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!
Tanaj Kamheangpatiyooth –
An absolutely stunnig course!
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.
Richard He –
Very clear goal setting for the course
Der Krikorian –
Introduction plut t claire. Explications d taill es
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
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!
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
Kuat Madeniyet –
Expected to get other information, lost time on debugging, no notes about possible occurring problems
Sathiyaseelan S –
Great Going so far, I have found the explanation simple and neat and helps to grab the topic clearly .
Aanish Singla –
Its a great course to start learning about flask, docker and taking it to web servers like Apache.
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).
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.