- Deep Learning pipeline
- Introduction to Deep Learning
Using GPUs to Scale and Speed-up Deep Learning
Join the Using GPUs to Scale and Speed-up Deep Learning to learn how accelerated GPU-based hardware can be used to serve your Deep Learning scaling requirements
Intermediate
Online
5 Weeks
Free
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
2-4 Hours Per Week
|
Course overview
Training sophisticated Deep Learning models takes plenty of time. The Using GPUs to Scale and Speed-up Deep Learning certification programme sheds light on how accelerated hardware like Nvidia GPU (Graphics Processing Unit) or Google’s TPU (Tensor Processing Unit) can be used to shorten computations time on the cloud.
During edX’s Using GPUs to Scale and Speed-up Deep Learning course, you will understand what accelerated GPU-based hardware is and how it can help you overcome scalability challenges in Deep Learning. You will also get familiar with IBM’s Power Systems with Power AI and Nvidia GPU.
The Using GPUs to Scale and Speed-up Deep Learning will also acquaint you with popular Machine Learning dependencies and learnings supported by Power AI. These include Caffe, Theano, Tensorflow and Torch. Lastly, with this course, you will get practical experience of deploying Deep Learning networks on accelerated hardware for numerous problems, such as classifying videos and images.
The highlights
- Offered by IBM
- Video lectures in English
- Requires 2-4 hours/week
- Free access
- Data Analysis and Statistics course
- Intermediate-level programme
- 5-weeks course
- Self-paced learning
- E-certificate
Program offerings
- Extensive curriculum
- Industry expert instructor
- Video lectures
- Self-directed learning
- Free programme access
- Online learning
- An offering of ibm
- A shareable certificate
- 5-weeks training
- English subtitles for lessons
Course and certificate fees
Type of course
- Access to the Using GPUs to Scale and Speed-up Deep Learning course contents is free of cost.
- You have to pay Rs. 8,229 to receive the course completion certificate.
Using GPUs to Scale and Speed-up Deep Learning fee structure
Course option | Fee in INR |
Using GPUs to Scale and Speed-up Deep Learning (course content audit) | Free |
Using GPUs to Scale and Speed-up Deep Learning (content + certification) | Rs. 8,229 |
certificate availability
certificate providing authority
certificate fees
What you will learn
After going through the Using GPUs to Scale and Speed-up Deep Learning syllabus, you will be able to:
- Deploy and train Deep Learning networks for object recognition as well as video and image classification
- Execute Deep Learning networks on accelerated GPUs
- Benefits of GPU as compared to CPUs
- Describe what a GPU is and how it expedites the computation
Admission details
Step 1 – Visit the site to reach the Using GPUs to Scale and Speed-up Deep Learning course page.
Step 2 – Near the top of this page, tap or click on the ‘Enroll now’ button to reach the registration page.
Step 3 – You can fill in the required info and click the ‘Create account’ button to create an edX account. On the other hand, you can sign in using your Google, Facebook, Microsoft, or Apple ID.
Step 4 – Next, you will be redirected to a webpage with a ‘Congratulations’ message after registration is complete. The enrolment process in the Using GPUs to Scale and Speed-up Deep Learning program should be done by now. Next, you can choose to go for a free or paid plan according to your requirements.
Filling the form
You can log on to edX’s website and create an account to enrol in the Using GPUs to Scale and Speed-up Deep Learning training. Filling and submitting an application form is not required. Simply providing your details like email, full name, country, username, and a new password is enough to create an edX ID. Alternatively, you can just log in to the portal by linking your existing Apple ID, Google ID, Facebook account, or Microsoft account.
The syllabus
Module 1
Quick review of Deep Learning
Module 2
Hardware Accelerated Deep Learning
- Learning objectives
- GPU-Accelerated Deep Learning Introduction
- Deep Learning with GPU vs CPU
- Parallelism in Deep Learning
- Single-GPU vs Multi-GPU Deep Learning
Module 3
Deep Learning in the Cloud
- Learning objectives
- How does one use a GPU?
- Deep Learning in the Cloud
- Hardware accelerators
Module 4
Advanced Deep Learning
- Distributed Deep Learning
- Object recognition with PowerAI vision
- Deep Learning without Coding: PowerAI vision
Module 5
Deep Learning Project
- Learning Objectives
- How to do the project?
- What is the final project?
- Project Submission
How it helps
The Using GPUs to Scale and Speed-up Deep Learning programme by edX allows you to learn from a Senior Data Scientist of IBM, Saeed Aghabozorgi. Besides, you can learn flexibly as per your schedule as the course is self-paced.
Also, you can opt to receive the Using GPUs to Scale and Speed-up Deep Learning certification and get a valid credential to highlight your knowledge. This certificate can be shared on LinkedIn or added to your CV or resume for better career prospects.
Instructors
Mr Saeed Aghabozorgi
Senior Data Scientist
IBM
Ph.D
FAQs
Yes, this online programme is free to join.
IBM offers the Using GPUs to Scale and Speed-up Deep Learning programme.
Saeed Aghabozorgi, a Ph.D. holder and Sr Data Scientist at IBM, is your instructor for the Using GPUs to Scale and Speed-up Deep Learning course.
The course is five weeks long.
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