❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire the fundamentals of deep learning, including the basics of neural networks, different deep learning models, and how to build their first deep learning model using the easy yet powerful library Keras. They will also gain an understanding of the exciting applications of deep learning, as well as supervised and unsupervised deep learning models. Furthermore, they will be able to use Keras to build, train, and test deep learning models, and gain the knowledge needed to future-proof their career in the field of deep learning. Additionally, learners will have the opportunity to earn a skill badge, which is a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with a foundational understanding of deep learning and the ability to apply the concepts to build their own deep learning models using Keras. Learners will also gain an understanding of the exciting applications of deep learning, as well as supervised and unsupervised deep learning models. Furthermore, they will be able to use Keras to build, train, and test deep learning models, and gain the knowledge needed to future-proof their career in the field of deep learning. Additionally, learners will have the opportunity to earn a skill badge, which is a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course. This course also provides learners with the opportunity to explore career paths such as Deep Learning Engineer, Machine Learning Engineer, Artificial Intelligence Engineer, and Data Scientist, as well as education paths such as Bachelor of Science in Artificial Intelligence, Master of Science in Machine Learning, Doctor of Philosophy in Deep Learning, and Master of Science in Data Science.

Is this course suitable for preparing further education?
This course is suitable for preparing further education in the field of deep learning, machine learning, artificial intelligence, and data science. Learners will gain a foundational understanding of the fundamentals of deep learning, including neural networks, different deep learning models, and how to build their first deep learning model using the easy yet powerful library Keras. They will also gain an understanding of the exciting applications of deep learning, as well as supervised and unsupervised deep learning models. Furthermore, they will be able to use Keras to build, train, and test deep learning models, and gain the knowledge needed to future-proof their career in the field of deep learning. This course also provides learners with the opportunity to earn a skill badge, which is a detailed, verifiable and digital credential that profiles the knowledge and skills they have acquired in this course. With this knowledge, learners will be well-prepared to pursue further education in the fields of deep learning, machine learning, artificial intelligence, and data science.