Gear Up Your Career With These Courses Offered By Big Tech Giants

By Jyoti Nigania |Email | Oct 26, 2018 | 14937 Views

Big tech giants like Microsoft, Google, Amazon, NIVIDIa, Baidu and Uber all have launched the popular courses for the professionals to get learn about the trending technologies like artificial intelligence, machine learning, deep learning and many more. Not only to educate them but also trying to bridge the talent gap. 

Following are the courses launched by big tech giants:

Learn with Google AI:
In 2018 Google launched a new website named Learn with Google AI through this website people can easily learn the core principles and concepts about Machine Learning, which enhances their knowledge and skills. Doesn't matter whether you are a learner or a trained machine learner this website helps the both by developing your skills and advance your projects.

ML Crash Course:     
Machine Learning Crash Course is initially framed for Google employees only. This course introduces the key machine learning concepts. This course is for both programmers and non-programmers. Non-programmers who are comfortable with Math can also find a plenty of opportunities. Real world machine learning more focuses on Data Analysis than on Coding. 


Microsoft Professional Program for AI:  
The company Microsoft launched the course named Microsoft Professional Program for AI which focuses on both the people and organizations. This course increases the knowledge about Artificial Intelligence capabilities of the professionals. This course comprises 10 other courses that teach skills in several core technology tracks that help you excel in the industries newest job roles. Each individual course takes 8-16 hours to get it complete and this are paid course. 


Introduction to ML: 
This online course introduces AWS customers and current and potential machine learning practitioners to the practical Amazon approach to machine learning (ML).This is 40 minute training for the learners. In this first video segment, students learn about the types of problems that Amazon is solving with machine learning and the methods and tools that are used in these solutions.

Deep Learning on AWS: 
Amazon launched a new course named Introduction to ML. This is a one day course in which professionals will learn cloud-based deep learning solutions on the AWS platform. In addition to this you will also learn how to use Amazon Sage Maker and deploy your deep learning models using AWS services like AWS Lambda and Amazon Elastic Container Service (Amazon ECS) all while designing intelligent systems on AWS.


Deep Learning Course:  
The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI and accelerated computing to solve real-world problems. Designed for developers, data scientists, and researchers, Deep Learning Institute content is available in three formats:
DLI online courses teach you how to implement and deploy an end-to-end project in eight hours. Online courses can be taken anytime, anywhere, with access to a fully configured GPU-accelerated workstation in the cloud.
DLI electives explore how to apply a specific technology or development technique in two hours. Like full-length courses, electives can be taken anytime, anywhere, with access to GPUs in the cloud.
In-person workshops teach you how to implement and deploy an end-to-end project through hands-on training in eight hours. Offered at customer sites, conferences, and universities, full-day workshops include hands-on training and lectures delivered by DLI certified instructors.

The courses of focused on the key concepts and application of artificial intelligence. This course was introduced by Andrew Ng who is a former chief scientist at Baidu in previous year 2017. This course focuses on the recent advances and development in the Machine Learning technology this course is a paid course and offered by Coursera.


Uber AI Residency:   
Uber AI Labs and Uber ATG Toronto have launched the course named Uber AI Residency and this is a one year course. Uber have invested in machine learning and artificial intelligence along with other technologies like deep learning, reinforcement learning, probabilistic modeling, computer vision and natural language processing.

Source: HOB