Cloud Deployment of Machine Learning Model

The cloud deployment model identifies the specific type of cloud environment based on ownership, scale, and access, as well as the cloud’s nature and purpose. In This course, you would learn the flask app, Heroku, AWS, GCP. DataTrained provides you best in class content by leading faculty. Get an industry-recognized certificate of completion in Cloud Deployment of Machine Learning Model course from DataTrained.

4.5
(535 ratings)

1100+ Learners

English

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Cloud Deployment of Machine Learning Model

$6
1100+ Learners

Features

5+ Hours on-demand Video
Certificate of completion
Projects Included
Taught by Industry Pros

Buy Now Try Free

What you'll learn

flask app
Heroku
AWS
GCP

Syllabus

Best-in-class content by leading faculty and industry leaders in the from of videos, cases and projects, assigments and live sessions

Need to have knowledge on one programming.
Need to know Mahine learning
Python programming is added advantage.
Credit card to create account.

The cloud deployment model identifies the specific type of cloud environment based on ownership, scale, and access, as well as the cloud’s nature and purpose. The location of the servers you’re utilizing and who controls them are defined by a cloud deployment model. It specifies how your cloud infrastructure will look, what you can change, and whether you will be given services or will have to create everything yourself. Relationships between the infrastructure and your users are also defined by cloud deployment types.

Get Industry Recognized Certificate of Completion in Cloud Deployment of Machine Learning Model course from DataTrained which can be verified online throughout the world, shared in certification section on your linked profile, downloaded, printed, shared, and mentioned on your resume.

Abhay

The course is good. It gives a detailed description of sqoop and flume. Every concept is very easy and simple to understand.

Raj

Instructor has a good command over the subject. Very nicely explained Excellent content, Every Hadoop developer much visit this course even if you are a experience one.

Instructors

Join DataTrained certified curriculum and learn every skill from scratch. Learn Cloud Deployment of Machine Learning Model from the industry’s best thought leaders and upgrade your skills.

Shankargouda Tegginmani

Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Why Take this Course

High-level programming language: With Python, the code looks very close to how humans think. For this purpose, it must abstract the details of the computer from you: memory management, pointers,… Hence, it is slower than “lower-level language” like C;

Python is interpreted and not compiled: Python code is interpreted at runtime instead of being compiled to native code at compile time;

Python is a dynamically typed language: Unlike “statically-typed” languages like C, C++ or Java, you don’t have to declare the variable type like String, boolean or int. The less you do, the more your computer has to work. For each attribute access, tons of lookup is required. In addition, being very dynamic makes it incredibly hard to optimize Python;

Global Interpreter Lock (GIL): This GIL basically prevents multi-threading by mandating the interpreter only execute a single thread within a single process (an instance of the Python interpreter) at a time.

Cloud Deployment of Machine Learning Model

Cloud Deployment of Machine Learning Model

Features

What you'll learn

Syllabus

Instructors

Shankargouda Tegginmani

Data Scientist, Accenture

Why Take this Course

100% online

Global Certification

Flexible deadlines

Company

Placement

Learner's Zone

Terms

Micro Degree Courses

Certificate Courses