Professional Certificate in Deep Learning
Course Features
Duration
7 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
4 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning
Build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders
Application of Deep Learning to real-world scenarios such as object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers
Master Deep Learning at scale with accelerated hardware and GPUs
Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems
Course Instructors
Aije Egwaikhide
Senior Data Scientist
Romeo Kienzler
Chief Data Scientist
Samaya Madhavan
Advisory Software Engineer