About this Professional Certificate
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 demand for Data Scientists and Deep Learning professionals is booming, far exceeding the supply of personnel skilled in this field. 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.
This program is intended to prepare learners and equip them with skills required to become successful AI practitioners and start a career in applied Deep Learning.
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.
From | IBM via edX |
---|---|
Hours | 138 |
Instructors | Alex Aklson, Joseph Santarcangelo, SAEED AGHABOZORGI, Romeo Kienzler, Samaya Madhavan, Yi Leng Yao, Sacchit Chadha, Nayef Abou Tayoun, Aije Egwaikhide |
Language | English |
Subjects | Programming Data Science |
Similar Courses
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Learning Services $59k
Computer Vision, Deep Learning Engineer $67k
Computer Vision & Deep Learning Engineer $67k
Deep Clean Sales Specialist $76k
Deep clean specialist $76k
Deep Learning Research Scientist $86k
Deep Learning Research Engineer $88k
Research Scientist - Deep Learning $91k
Senior Learning Specialist, Learning and Development $102k
Deep Learning R&D Engineer $127k
Learning Assitant $142k
Deep Submergence Systems Program Manager $157k
Courses in this Professional Certificate
Listed in the order in which they should be taken
Starts | Course Information | |
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On Demand |
Deep Learning Fundamentals with Keras Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve... edX | IBM |
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|
On Demand |
Computer Vision and Image Processing Fundamentals Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills... edX | IBM |
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|
On Demand |
Deep Learning with Python and PyTorch Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills... edX | IBM |
Save
|
On Demand |
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills... edX | IBM |
Save
|
On Demand |
Applied Deep Learning Capstone Project Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills... edX | IBM |
Save
|
On Demand |
Using GPUs to Scale and Speed-up Deep Learning Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills... edX | IBM |
Save
|
On Demand |
PyTorch Basics for Machine Learning Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills... edX | IBM |
Save
|
&
From | IBM via edX |
---|---|
Hours | 138 |
Instructors | Alex Aklson, Joseph Santarcangelo, SAEED AGHABOZORGI, Romeo Kienzler, Samaya Madhavan, Yi Leng Yao, Sacchit Chadha, Nayef Abou Tayoun, Aije Egwaikhide |
Language | English |
Subjects | Programming Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Learning Services $59k
Computer Vision, Deep Learning Engineer $67k
Computer Vision & Deep Learning Engineer $67k
Deep Clean Sales Specialist $76k
Deep clean specialist $76k
Deep Learning Research Scientist $86k
Deep Learning Research Engineer $88k
Research Scientist - Deep Learning $91k
Senior Learning Specialist, Learning and Development $102k
Deep Learning R&D Engineer $127k
Learning Assitant $142k
Deep Submergence Systems Program Manager $157k
Similar Courses
Sorted by relevance