3.35 (42 reviews)
☑ Learn Microsoft Azure - Cloud platform cognitive services like Face, Vision, Text API
☑ You will be able to integrate and get best results for any computer vision or Natural Language processing tasks.
☑ Ability to show and include Machine Learning applications in your app
Machine Learning has always been a complex subject. No doubt the salaries of the Machine Learning experts are among the highest. It is equally true that it has a steep learning curve. In this course, we are going to make it super easy for any developer to embed Machine Learning and AI in their applications. You will not need all the complexities of Mathematics and Statistics.
Welcome to the course on Machine Learning using Azure Cognitive Services which is part of the Artificial Intelligence services of Microsoft.
This course is designed who is preparing for Microsoft AI Certification, AI-100 & AI-900.
Let me ask you,
Do you want to develop Machine Learning based apps that will have vision intelligence such as identifying faces, tag objects etc?
Do you want to develop apps that will have high caliber machine learning for Text Analytics?
Do want to do sentiment analysis of the texts using Machine Learning?
Do you want to identify and tag various objects within an image?
You may want to develop such an application that processes, texts written or spoken words of a user using Natural Language Processing. You may also want to develop some cool funny apps, but don't know how to identify the different aspects of a face such as exactly where the eyes or nose are.
With cognitive services you will be able to build all such or even more types of applications.
If you try to build those using traditional means of Machine Learning, you may face severe challenges.
First of all, there are just too many frameworks related to Machine Learning
Then there are so many languages. It may take you months to learn and master Machine Learning using these technologies.... and every framework has its own strengths and weaknesses.
The next challenge for a production grade Machine Learning application which can give quick response time will be the type of infrastructure that's required. You may end up owning or leasing very high end computing devices such as specialized virtual machines, GPUs and so on..
The last challenge but one of the most critical ones is the expertise.
With the emergence of the cloud, there is however, another model that has evolved which is Machine Learning As a Service. With years of research by top Data Scientists around the world, Microsoft has developed Cognitive Services. The Azure Cognitive Services, allows you to simply use the APIs and get started with embedding Machine Learning capabilities in your applications.
So hit the enrol button and we are so excited to see you inside the course....
Introduction to Cognitive Services
Languages Supported for API Integration in this Course
Cognitive Services APIs
[Hands-On] Set-up Azure Account
[Hands-On] Set-up and provision the APIs
Python Course Material
Computer Vision API
What is a computer Vision API?
What is "Categories" API?
[Hands-On] Categorize Images - Using Python
Tag and identify the content/objects within an image
Tags - Using Python
Text Analytics API
What is Text analytics API?
[Hands On] Language Detection - Using Python
[Hands-On] Language detection - Using Java Script
Sentiment analysis using python
[Hands-On] Sentiment analysis - Using Java Script
Key Phrase extraction using Python
[Hands-On] Key Phrases extraction - Using Java Script
Cognitive Services With Postman
The material is outdated, and the instructor has absolutely no interest in helping out the students with their questions. When I asked how to fix a piece of outdated code I got told to find an other tutorial.
Unfortunately the course was not what I was expecting. I was expecting to have a course to guide me as an exam preparation.
I expected more hands on coding. This is more of just listening to explanations and no real time coding.