This course is given in collaboration with NVIDIA Deep Learning Institute and AI Lab
Artificial Intelligence (AI), and Deep learning (DL) in particular, is transforming every industry.
With major breakthroughs in computer vision, natural language processing, speech recognition
and autonomous driving, deep learning has become the hottest topic in Artificial Intelligence.
We have reached a crucial moment where deep learning and high performance computing are
converging to deliver on promises made by big data. In this course, we will explore the
fundamentals of deep learning and discuss the current trend of this fast moving field, including
the latest on various DL software frameworks and HPC hardware/cloud platforms. Following the
success stories of applying deep learning to computer vision, natural language processing,
intelligent, and multiple data types, course participants will gain hands-on experience training
deep neural networks and using results to improve performance and capabilities. Upon
completion, attendees will be able to solve their own problems with deep learning. Participants
will also have the chance to receive an NVIDIA DLI certificate to recognize their subject matter
competency and support professional career growth.
This course is designed to empower you to jumpstart AI and gain the needed hands-on skills
and expertise to leverage this technology in order to solve the world’s most challenging
problems. Learn to build deep learning applications for industries such as autonomous
vehicles, finance, game development, healthcare, robotics, and more.
Course Target Group
- Fresh Graduates entering the job market.
- Developers who aim to learn today’s most sought after skill
- Software Engineers who seek to advance their careers with the state-of the art AI
- Data Scientists and researchers who want to solve challenging problems with AI
- Technology leaders who want to stay ahead of the competition by empowering their
companies with AI
- IT consultants
- Digital Transformation Specialists
|This module teaches deep learning techniques
for a range of computer vision tasks. After an
introduction to deep learning, students advance
to building and deploying deep learning
applications for image classification and object
detection, modifying your neural networks to
improve their accuracy and performance, and
implementing the techniques they’ve learned in a
|Fundamentals of Deep Learning for Multiple Data Types||This module uses a series of hands-on exercises to teach deep learning techniques for a range of problems involving multiple data types. Students advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning.|
|Fundamentals of Deep Learning for Natural Language Processing||This module teaches deep learning techniques for understanding textual input using natural language processing (NLP) through a series of hands-on exercises. Students will learn techniques to train a neural network for text classification, build a linguistic style model to extract features from a given text document, and create a neural machine translation model for converting text from one language to another. |
Course Instructional Methodology
This course is designed to provide participants with a hands-on online AI training. Students will
have access to the fully-configured NVIDIA platform equipped with GPUs in the cloud
throughout the course. A combination of presentations, discussions, and hands-on labs will be
used in each session to engage the students in an exciting learning experience.
Every module of the course will be terminated by an online assessment where students will
demonstrate their competencies in the subject matter learned. Guidance and feedback from
the instructor will be provided on each exercise, discussion, and assessment in a way to
enable participants to identify their weaknesses and capitalize on their weak points.