Neural Networks 1

AI is changing the way we communicate, live, and work. Deep Learning is at the core of AI. Deep Learning was once a niche for researchers and PhDs, but it has become mainstream due to its practical applications as well as availability of affordable hardware.

Deep Learning and Data Scientists are in high demand. This is far more than the supply. AI is becoming a part of the fabric of the industry. As AI becomes more widespread in society, the demand for Deep Learning skills and the salaries of Deep Learning professionals will only increase. Deep Learning is a career that's future-proof.

This series of courses will introduce you to Deep Learning concepts and their applications, as well as various types of Neural Networks that can be used for both supervised and unsupervised learning. The next step is to delve deeper into Deep Learning and build models and algorithms with libraries such as Keras and PyTorch. Deep Learning will be possible with GPU-accelerated hardware. This includes image and video processing as well as object recognition in Computer Vision.

Through this program, you will be able to practice your Deep Learning skills by engaging in hands-on labs, assignments, as well as projects that are inspired by real problems and data sets from industry. The program will also include a capstone project in Deep Learning that will show potential employers your applied skills.

This program is designed to prepare and equip learners with the skills necessary to be successful AI practitioners and begin a career in applied Deep Learning.