Overview
The Deep Learning Professional Certificate from EdX is offered in partnership with IBMx.
AI is revolutionizing the way we live, work and communicate. At the heart of AI is Deep Learning. Once a domain of researchers and PhDs only, Deep Learning has now gone mainstream thanks to its practical applications and availability in terms of consumable technology and affordable hardware.
The industry is clearly embracing AI, embedding it within its fabric. The demand for Deep Learning skills by employers -- and the job salaries of Deep Learning practitioners -- are only bound to increase over time, as AI becomes more pervasive in society. Deep Learning is a future-proof career
Within this series of courses, you’ll be introduced to concepts and applications in Deep Learning, including various kinds of Neural Networks for supervised and unsupervised learning. You’ll then delve deeper and apply Deep Learning by building models and algorithms using libraries like Keras, PyTorch, and Tensorflow. You’ll also master Deep Learning at scale by leveraging GPU accelerated hardware for image and video processing, as well as object recognition in Computer Vision.
Throughout this program you will practice your Deep Learning skills through a series of hands-on labs, assignments, and projects inspired by real world problems and data sets from the industry. You’ll also complete the program by preparing a Deep Learning capstone project that will showcase your applied skills to prospective employers.
Job Outlook
Annual demand for the fast-growing new roles of data scientist, data developers, and data engineers will reach nearly 700,000 openings by 2020. (Source: Burning Glass Technologies, Business-Higher Education Forum (BHEF), and IBM)
Average salary for a Machine Learning Engineer is $136,054 (Source: Indeed.com)
Career prospects include Deep Learning & Computer Vision Engineer, Machine Learning Engineer, Data Scientist, Data Analyst, Data Engineer, AI / Deep Learning Scientist and Data Science Instructor
What You'll 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.
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Deep Learning Fundamentals with Keras
- Computer Vision and Image Processing Fundamentals
- PyTorch Basics for Machine Learning
- Deep Learning with Python and PyTorch
- Deep Learning with Tensorflow
- Applied Deep Learning Capstone Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 7 months
- 2 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Artificial Intelligence Machine Learning View 239 other Short Courses in Machine Learning in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
584 USD/fullTuition FeeBased on the tuition of 584 USD for the full programme during 7 months. -
National
584 USD/fullTuition FeeBased on the tuition of 584 USD for the full programme during 7 months.