Nvidia - Deep Learning for Healthcare Image Analysis

Duration

Duration:

Only 2 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

26/9/2022 (Monday)

Overview

On this accelerated Nvidia Deep Learning for Healthcare Image Analysis course, you’ll gain knowledge on using deep learning in healthcare analysis, and accelerated computing applications for industries.

 In just 2 days, you’ll build knowledge on CCNs in order to:

  • Performing segmentation on MRI images to determine the location of the left vehicle
  • Detect heart disease and calculate ejection fractions by measuring the differences between diastole and systole
  • Apply them to MRI scans of low-grade gliomas (LGGs) to determine 1p/19q chromosome co-deletion status

At the end of this accelerated course, you'll earn a NIVIDIA DLI certificate highlighting your competency in the elements learned during the course. Firebrand’s Lecture | Lab | Review methodology will allow you to train faster than traditional training in a distraction-free environment, covered by a Certification Guarantee.

Benefits

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. Pass first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  6. You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 100,000 professionals
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts

Curriculum

Section 1: Image Segmentation

  • Learn techniques for placing each pixel of an image into a specific class:
  • Extend Caffe with custom Python layers
  • Implement the process of transfer learning
  • Create fully convolutional neural networks from popular image classification networks

Section 2: Image Analysis

  • Leverage CNNs for medical image analysis to infer patient status from non-visible images:
  • Extend a canonical 2D CNN to more complex data
  • Use the framework MXNet through the standard Python API and R
  • Process high-dimensional imagery that may be volumetric and temporal

Section 3: Image Classification with TensorFlow

  • Learn about deep learning techniques for detecting imaging genomics (radiomics) from MRIs:
  • Design and train CNNs
  • Use radiomics to create biomarkers that identify the genomics of a disease without the use of an invasive biopsy
  • Explore the radiogenomics work being done at the Mayo Clinic, which has led to more effective treatments and better health outcomes for patients with brain tumors

Exam Track

At the end of your accelerated course, you’ll sit your exam at the Firebrand Training centre, covered by your Certification Guarantee:

Nvidia Deep Learning for Healthcare Image Analysis exam

  • Format: Code-based
  • Languages: English, Japanese

Upon successful completion of the assessment, you’ll will receive an NVIDIA DLI certificate to recognise your subject matter competency and support professional career growth.

What's Included

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free (just pay for accommodation, exams and incidental costs)

Prerequisites

Before attending this accelerated course, you should have basic familiarity with deep neural networks; basic coding experience in Python or a similar language.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 124229 students and asked them all to review our Accelerated Learning. Currently, 96.62% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"Knowledgeable instructor with lots of experience, using real world examples to make it relatable and focused."
Caroline Yardley. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun. Highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun, highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"The instructor did a good work in delivering the material. Very helpful and willing to go the extra mile to support the students."
KB. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

"It is was proper challenge, but the instructor provided the content with a flamboyant and upbeat style and despite the sometimes try nature of the material, the instructor was able to keep us all well engaged. Probably the best trainer I have had."
Michael Ross, NHS England. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

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