Using GPUs to Scale and Speed-up Deep Learning

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.

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 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.