Intro to TensorFlow for Deep Learning | 2-day course

Overview

On this accelerated Intro to TensorFlow for Deep Learning course, you’ll learn the foundation of Machine Learning (ML) and Deep Learning, and how they are applied to the TensoFlow platform.

In just 2 days, you’ll learn how to build deep-learning models as well as learn how to use your TensorFlow models in the real-world on mobile devives, in the cloud, and in browsers. You’l build knowledge on:

Image recognition, object detection, text recognition algorithms with deep neural networks and convolutional neural networks
Applying neural networks to solve natural language processing problems using TensorFlow
Strategies to prevent overfitting, including augmentation and dropouts

At the end of the course, you’ll sit the Intro to TensorFlow for Deep Learning exam and achieve your certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

If you’re a Software Developer, this course is ideal for you.

See prices now to find out how much you could save when you train at twice the speed.

See prices

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 the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the 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 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of 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 the 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 135,000 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

Think you are ready for the course? Take a FREE practice test to assess your knowledge!

Free Practice Test

Curriculum

Section 1: Introduction to Machine Learning
Section 2: Your First Model: Fashion MNIST
Section 3: Introduction to Convolutional Neural Networks ("CNNs")
Section 4: Going Further with CNNs
Section 5: Transfer Learning
Section 6: Saving and Loading Models
Section 7: Time Series Forecasting
Section 8: Introduction to TensorFlow Lite

Exam Track

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

Intro to TensorFlow for Deep Learning exam

Format: Multiple-choice
Number of questions: 60
Duration: 2 hours
Passing score: 70%

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. Accommodation is included from the night before the course starts. This 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 as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

Before attending this accelerated, TensorFlow recommend you have the following experience in:

Calculating the probability of an event
Programming (at least 40hrs)
Libraries like NumPy and pandas is a plus

You should also have knowledge in:

Algebra
Calculating the mean and variance of a probability distribution is a plus
Probability and statistics
Data structures like dictionaries and lists
Python syntax, including variables, functions, classes, and object-oriented programming

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 134,561 students and asked them all to review our Accelerated Learning. Currently, 96.41% 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.

"I had a great time. The instructor is very knowledgeable and his training is on point. Two exams in 2 days is a lot. But he makes it doable."
Juan van Gom, Ministry of Defense Netherlands. (19/1/2024 (Friday) to 21/1/2024 (Sunday))

"Had a great time meeting and networking with other people. A great teacher."
Pritpal Hundel, Computacenter. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

"Our instructor was very knowledgeable and delivered the online course well. The labs are great for getting hands-on experience."
Anonymous. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

"Great 4 days of in-person training. The trainer was knowledgeable and brought a wealth of real world examples to what would have been otherwise a very theoretical training course."
Ian Smith, DWP. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

"I attended the CND course which was online-led. This course was delivered very well allowing me to develop my knowledge in the related topics. Despite being online, I felt involved and felt as if I could ask any questions at any time."
Molly Macuras, Electricity North West Limited. (8/1/2024 (Monday) to 11/1/2024 (Thursday))

Course Dates

Start	Finish	Status	Location
19/2/2024 (Monday)	20/2/2024 (Tuesday)	Finished - Leave feedback	-
24/6/2024 (Monday)	25/6/2024 (Tuesday)	Wait list	Nationwide
5/8/2024 (Monday)	6/8/2024 (Tuesday)	Limited availability	Nationwide
16/9/2024 (Monday)	17/9/2024 (Tuesday)	Open	Nationwide
28/10/2024 (Monday)	29/10/2024 (Tuesday)	Open	Nationwide
9/12/2024 (Monday)	10/12/2024 (Tuesday)	Open	Nationwide

TensorFlow - Intro to TensorFlow for Deep Learning