New Delhi, August 9: Coursera, the world’s largest online education platform, today announced a Specialization on deep learning, one of the hottest emerging fields in artificial intelligence. Created by Coursera’s co-founder and leading AI expert Andrew Ng, this certificate program will enable anyone with basic programming skills to explore the frontiers of AI. This is an extension to Andrew’s landmark “Machine Learning” course which introduced nearly 2 million learners around the world to cutting-edge topics in data science, computer science, and AI.

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Through five interconnected courses, learners will be able develop a profound knowledge of the key AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications like Computer Vision, Natural Language Processing, Speech Recognition, etc. The Specialization not only will prepare learners to tackle the rise of deep learning but provide them with the opportunity to contribute in the development of cutting-edge AI technology. Many courses also include interviews and guest appearances from leading industry experts and top leaders in the field who will share their personal stories and give advice for aspiring AI engineers.

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According to Andrew Ng, the co-founder of Coursera and former chief scientist at Baidu, “AI is the new electricity. Just as electricity transformed every major industry starting about 100 years ago, AI is now poised to do the same. Several large technology companies across the globe have already built divisions dedicated to AI, and have made huge strides transforming themselves with AI. Even in India, in the next few years, companies of all sizes and across all industries will realize that they too can – and must – be part of this AI-powered future. I’m hopeful that these courses will help many people to master deep learning, develop amazing careers, and build wonderful machine learnings systems that will improve the lives of numerous people.”

The Specialization is appropriate for anyone with basic Python skills, a strong mathematics background, and some introductory-level machine learning experience. The topics covered will be relevant for aspiring as well as practicing data scientists, machine learning engineers, data engineers, software developers, and learners coming from quantitative fields such as finance, engineering and healthcare.

At the end of the Specialization, learners will practice applying deep learning on applications in healthcare, visual object recognition, music generation, and language understanding, among others.

Frequently Asked Questions

Q.Is the course 100% online? Does it require any offline classes too?

The following course is fully online, and hence there is no need for any physical classroom session. The lectures and assignments can be accessed anytime and anywhere through a smart web or mobile device.

Q.When can I start the course?

Anyone can choose a preferred course and start immediately without any delay.

Q.What are the course and session timings?

As this is a purely online course program, you can choose to learn at any time of the day and for as much time as you want. Though we follow a well-established structure and schedule, we recommend a routine for you as well. But it finally depends on you, as you have to learn.

Q.What will happen when my course is over?

If you have completed the course, you would be able to have lifetime access to it for future reference too.

Q.Can I download the notes and study material?

Yes, you can access and download the content of the course for the duration. And even have lifetime access to it for any further reference.

Q. What software/tools would be needed for the course and how can I get them?

All the software/tools that you need for the course would be shared with you during the training as and when you need them.

Q. Do I get the certificate in a hard copy?

No, only a soft copy of the certificate will be awarded, which can be downloaded and printed, if required.

Q. I’m unable to make a payment. What to do now?

You can try to make the payment through a different card or account (maybe a friend or family). If the problem persists, email us at info@easyshiksha.com

Q. The payment got deducted, but the updated transaction status is showing “failed”. What to do now?

Due to some technical faults, this can happen. In such a case the amount deducted will be transferred to the bank account in the next 7-10 working days. Normally the bank takes this much time to credit the amount back into your account.

Q. The payment was successful but it still shows ‘Buy Now’ or not showing any videos on my dashboard? What should I do?

At times, there may be a slight delay in your payment reflecting on your EasyShiksha dashboard. However, if the problem is taking longer than 30 minutes, please let us know by writing to us at info@easyshiksha.com from your registered email id, and attach the screenshot of the payment receipt or transaction history. Soon after verification from the backend, we will update the payment status.

Q. What is the refund policy?

If you have enrolled, and are facing any technical problem then you can request a refund. But once the certificate has been generated, we shall not refund that.

Q.Can I just enrol in a single course?

Yes! You surely can. To begin this, just click the course of your interest and fill in the details to enrol. You are ready to learn, once the payment is made. For the same, you earn a certificate too.

My questions are not listed above. I need further help.

Please contact us at: info@easyshiksha.com

To enroll in the Specialization, visit https://www.coursera.org/specializations/deep-learning.

 About Coursera

Coursera is an online education company that partners with 150 of the world’s top universities and education institutions to offer courses, Specializations, and degrees that empower learners around the world to achieve their career, educational, and personal enrichment goals throughout their lives. Since launching in 2012, the company has grown to 26 million registered learners who can choose among 2,000 courses and 180 Specializations available to enroll in at any time.

For more information, visit www.coursera.org

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