Hands on Deep Learning with Keras, TensorFlow, and Apache Spark

Overview

On this accelerated Databricks Hands-on Deep Learning with Keras, TensorFlow, and Apache Spark course, you’ll learn the fundamentals of neural networks and how to build distributed TensorFlow models on top of Spark DataFrames.

Throughout the 2 day course, you’ll use Keras, TensorFlow, Deep Learning Pipelines, and Horovod to build and tune models; the course is taught entirely in Python. You’ll also build knowledge in:

The difference between various activation functions and optimisers
Track experiments with MLflow
Applying models at scale with Deep Learning Pipelines

At the end of this course, you’ll sit the Databricks Hands-on Deep Learning with Keras, TensorFlow, and Apache Spark 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

This accelerated course is ideal for:

Data scientists
Machine learning engineers
Data scientists
Technical managers

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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

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

Free Practice Test

Curriculum

Section 1: Intro to Neural Networks with Keras

Module 1: Neural network architectures
Module 2: Activation functions
Module 3: Evaluation metrics
Module 4: Batch sizes, epochs, etc.

Section 2: MLflow

Module 1: Reproducible ML/DL

Section 3: Convolutional Neural Networks

Module 1: Convolutions
Module 2: Batch Normalisation
Module 3: Max Pooling
Module 4: ImageNet Architectures

Section 4: Deep Learning Pipelines

Module 1: Model inference at scale

Section 5: Horovod

Module 1: Distributed Tensorflow training
Module 2: Ring-All Reduce

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:

Databricks Hands-on Deep Learning with Keras, TensorFlow, and Apache Spark exam

Number of questions: 60
Format: Multiple-choice
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 course, you should have experience in:

Python/Pandas
Spark

You should also have familiarity with machine learning (ML) concepts.

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, 96.48% 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 would highly recommend firebrand residential course"
Anonymous. (17/4/2023 (Monday) to 22/4/2023 (Saturday))

"I really enjoyed this training. The instructor used many illustrations and examples to convey knowledge. I would certainly use Firebrand again and again. Thanks folks."
Anonymous, Reckitt. (24/4/2023 (Monday) to 29/4/2023 (Saturday))

"Training camp allows to focus and not being disturbed by daily routine"
SL, LnA. (24/4/2023 (Monday) to 29/4/2023 (Saturday))

"Great training at a well suited facility for long hours studying to get a qualification in a short period of time."
Anonymous. (27/4/2023 (Thursday) to 29/4/2023 (Saturday))

"It was my third training with Firebrand and each time I was very satisfied with the content, the process and the result."
Mathias Hemmerling. (24/4/2023 (Monday) to 29/4/2023 (Saturday))

Course Dates

Start	Finish	Status	Location
20/2/2023 (Monday)	20/2/2023 (Monday)	Finished - Leave feedback	-
26/6/2023 (Monday)	26/6/2023 (Monday)	Wait list	Nationwide
7/8/2023 (Monday)	7/8/2023 (Monday)	Limited availability	Nationwide
18/9/2023 (Monday)	18/9/2023 (Monday)	Open	Nationwide
30/10/2023 (Monday)	30/10/2023 (Monday)	Open	Nationwide
11/12/2023 (Monday)	11/12/2023 (Monday)	Open	Nationwide

Databricks - Hands on Deep Learning with Keras, TensorFlow, and Apache Spark