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    Build &Deploy Machine Learning on Flask,AWS,Azure,Heroku,GCP

    Posted By: ELK1nG
    Build &Deploy Machine Learning on Flask,AWS,Azure,Heroku,GCP

    Build &Deploy Machine Learning on Flask,AWS,Azure,Heroku,GCP
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 6.55 GB | Duration: 11h 58m

    Learn How To Deploy Machine Learning models on Flask,Heroku,AWS,Google Cloud,Microsoft Azure, Streamlit. Beginner To Adv

    What you'll learn
    Learn How To Build and Deploy Machine Learning on Flask, Heroku, AWS, Google Cloud,Microsoft Azure, Streamlit
    Master Machine Learning With Python
    Learn Through 6 Core Industry Platforms
    Learn Through Projects and Assignments
    Beginner To Advance
    End-to-End Data Science and Machine Learning Deployment

    Description
    Interested in the field of Data Science and Machine Learning?

    Interested in Building Data Science and Machine Learning Projects and Deploy on Platforms such as AWS, Google Cloud, Microsoft Azure, Heroku, Flask, Streamlit?

    Interested in learning it the practical way?

    Then this course is for you!!

    This course has been practically and carefully designed by industry experts to offer the best way of learning Data Science and Machine Learning the practical way with hands-on projects and Deployment throughout the course.

    This course will teach step-by-step how to deploy your machine learning models in the cloud as it is done in the industry.

    We will walk you through step-by-step on each topic explaining each line of code for your understanding.

    There is going to be a lot of fun, excited, and robust projects to better understand each concept under each topic.

    We have structured the course in this way:

    Projects Deployment Tutorial

    Streamlit project tutorial

    Flask deployment project tutorial

    Heroku deployment project tutorial

    Google cloud deployment project tutorial

    AWS deployment project tutorial

    Microsoft Azure deployment project tutorial

    This course aims to help beginners, as well as intermediate data science enthusiasts, learn the most efficient ways to deploy their machine learning models while practicing on the projects to gain a better understanding of the course.

    Who this course is for:
    Anyone interested in Data Science and Machine Learning.
    Anyone who wants to Build And Deploy machine learning models on Flask, Heroku, AWS,Google Cloud, Microsoft Azure, Streamlit
    Any student interested in a career in Data Science and Machine Learning
    Any beginner level interested to kick-start their career in Data Science and Machine
 Learning
    Any intermediate level learner who know the basics of python, statistics, machine
 Learning and want to learn more about model deployment
    Any data analysts who want to transition to Data Science and Machine Learning
    Any Business Analysts who want to transition to Data Science and Machine
 Learning
    Anyone not satisfied with their job and looking for a career transition to become a
 Data Scientist.
    Anyone who wants to leverage the power of data in his case scenario.
    Any curious mind