Description

LinkedIn Learning Azure For Developers Api Management-SHEPHERDS\

LinkedIn Learning Azure For Developers Api Management-SHEPHERDS
Category: Tutorial
English | Size: 180.33 MB
Azure API Management (APIM) organizes your APIs and provides features that can help you secure, monitor, and document all of your operations. In this course, instructor Robby Millsap takes a deep dive into the features available in APIM. Robby steps through how to set up and publish a robust set of APIs, taking into account implications for security, performance, and more. He shows how to set up APIs from existing sources, including existing APIs and Azure Functions, as well how to mock new APIs that haven’t been created yet. By the end of this course, you’ll have a richer understanding of what’s available in APIM, as well as some handy step-by-step tutorials on how to set up APIs for a wide variety of scenarios.

Well, this course is different. We are fully committed to making this the most disruptive and powerful Deep Learning course on the planet. With that comes a responsibility to constantly be there when you need our help.

In fact, since we physically also need to eat and sleep we have put together a team of professional Data Scientists to help us out. Whenever you ask a question you will get a response from us within 48 hours maximum.

No matter how complex your query, we will be there. The bottom line is we want you to succeed.

Tensorflow and Pytorch are the two most popular open-source libraries for Deep Learning. In this course you will learn both!

TensorFlow was developed by Google and is used in their speech recognition system, in the new google

photos product, gmail, google search and much more. Companies using Tensorflow include AirBnb, Airbus, Ebay, Intel, Uber and dozens more.

PyTorch is as just as powerful and is being developed by researchers at Nvidia and leading universities:

Stanford, Oxford, ParisTech. Companies using PyTorch include Twitter, Saleforce and Facebook.

So which is better and for what?

Well, in this course you will have an opportunity to work with both and understand when

Tensorflow is better and when PyTorch is the way to go. Throughout the tutorials we

compare the two and give you tips and ideas on which could work best in certain circumstances.