Top 5 Deep Learning Certification Courses Compared

If you are one of those fellows planning to get started with a certification course on deep learning, we assure you, you have landed in the right place. Yes, after hours of research on this, we are finally here to introduce you to the top 5 deep learning certification courses that you must check out before signing up for one at random. So, let’s get started without delay!

  1. Deep Learning Certification by DeepLearning.ai-Andrew Ng (Coursera)

This course is one of the most enrolled Deep Learning Certification courses as Andrew Ng, the Co-Founder of Coursera, teaches the subject by himself. He has been the head of Google Brain and Baidu AI Group formerly. 

We can say it undoubtedly that this is the most effective Deep Learning Certification course as there are teachers like Kian Katanforoosh, Adjunct Lecturer at Stanford University, Younes Benouda Mourri from Computer Science and Mathematics of the same University. 

The course includes real case studies like natural language processing, sign language reading and music generation. You will be learning Python and TensorFlow and how to apply your knowledge into these programming languages.

  1. Deep Learning Certification by IBM (edX)

The professional Deep Learning Certification by IBM helps you to learn Deep Learning Skills by providing you with a series of projects as well as hands-on assignments. You can find this very course in the most effective e-learning platform edX. From this course, you will be able to sow your applied skills to your employers. 

The course includes various neutral networks and basic concepts of deep learning for supervised and at the same time, unsupervised learning. The course teaches you the way to build and deploy various Deep Architectures like Autoencoders, Convolutional Networks, and Recurrent Networks. 

  1. Neural Networks and Deep Learning Certification (Coursera)

Neural Network Course is a must-try if you are looking for grasping new concepts of newer technology. The course covers the basics of deep learning and the way it works. 

This is basically an intermediate level program, and that is why it requires basic practical knowledge of data structure, fundamental Python programming, and basic ML concepts. You will be able to understand the key concepts of neural network architecture and explore the parameters to build, apply and train connected neural networks. `                                                                       

  1. Natural Language Processing with Deep Learning in Python

Natural Language Processing course is a popular name in the field of Deep Learning. The trainer of the course is a data scientist, full-stack software engineer, and big data engineer and has an MA degree in computer engineering. The trainer has specialized training in pattern recognition and machine learning. The quality of the program is excellent in this sense. It is a complete guide to derive and implement word embedding, word2vec, and GloVe. From the course, you will learn to understand and apply neural tensor networks for analyzing data. It’s 6 hours crash course, best for people with limited time. 

  1. Deep Learning Training from Microsoft (edX)

Deep Learning Training from Microsoft course is an intuitive course. The course requires real knowledge of data science and basic programming skills before enrolling. From the course, you can learn to build complex models, develop smart understanding and can also solve real problems. If you want to learn how to use the MS Cognitive Toolkit for tapping into data sets, you must enroll in the program. The most efficient instructors from Microsoft teach this course.

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