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01 9010 151Nvidia - Fundamentals of Deep Learning
Overview
On this accelerated Nvidia Fundamentals of Deep Learning course, you’ll learn the basics of deep-learning and the techniques and tools necessary to train a deep-learning model.
In just 2 days, you’ll gain valuable experience with common deep-learning data types and model architectures. You’ll also build knowledge on how to:
- Enhance datasets through data augmentation to improve model accuracy
- Leverage transfer learning between models to achieve efficient results with less data and computation
- Build confidence to take on your own project with a modern deep learning framework
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.
Audience
This course is ideal for developers looking to gain experience with deep-learning frameworks.
Benefits
Seven reasons why you should sit your course with Firebrand Training
- Two options of training. Choose between residential classroom-based, or online courses
- You'll be certified fast. With us, you’ll be trained in record time
- Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
- 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
- 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
- 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
- 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
- Module 1: Introduction
- Module 2: The Mechanics of Deep Learning
- Module 3: Pre-trained Models and Recurrent Networks
- Module 4: Final Project: Object Classification
- Module 5: Final Review
Exam Track
At the end of this accelerated course, you’ll complete a short skills-based coding assessment.
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 an understanding of fundamental programming concepts in Python, like:
- Functions
- Loops
- Dictionaries
- Arrays
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))
Course Dates
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Start |
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Location |
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23/5/2022 (Monday) |
24/5/2022 (Tuesday) |
Finished - Leave feedback |
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26/9/2022 (Monday) |
27/9/2022 (Tuesday) |
Wait list |
Nationwide |
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7/11/2022 (Monday) |
8/11/2022 (Tuesday) |
Limited availability |
Nationwide |
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19/12/2022 (Monday) |
20/12/2022 (Tuesday) |
Open |
Nationwide |
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30/1/2023 (Monday) |
31/1/2023 (Tuesday) |
Open |
Nationwide |
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13/3/2023 (Monday) |
14/3/2023 (Tuesday) |
Open |
Nationwide |
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