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Cloud Computing for Machine Learning

Build and Deploy Machine Learning programs on the cloud
 Last Updated:04/2020 Instructor: Vinay Phadnis

Cloud Computing for Machine Learning

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About this Course
This course the fundamentals of Cloud Computing and work on a specific skillset required to build and deploy Machine Learning related applications on cloud infrastructure.

This course is divided into 5 sections:

Introduction to Cloud Computing: This section deals with the basic concepts related to cloud infrastructure. Can act as a good entry point for beginners just starting with cloud computing.

Fundamentals of Machine Learning: This section deals with the basic concepts related to Machine Learning like Neural Networks, Optimisation, Deep-Learning. Can act as a good entry point for beginners getting started with Machine Learning

Hands-on Machine Learning: We will be creating a project which can classify hand-written digits from the MNIST dataset on Google Cloud

App Engine: This section deals with various aspects of project development lifecycle. App Engine will also be used to deploy a basic Hello World application on the cloud.

Deploying a Remote Server: We will be creating a fully functional Form app using URL Handlers, Jinja templates, yaml and deploy it on the cloud.

Hope you have fun exploring the depths of Cloud Computing and Machine Learning.

Happy Coding,

Vinay Phadnis :)

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SKILLS YOU WILL GAIN

Logic
Machine Learning
Cloud Computing
Python
WHAT YOU WILL LEARN

Logic
Software Development
Cloud Developer
Machine Learning Developer
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