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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:
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.
This accelerated course is ideal for:
Section 1: Intro to Neural Networks with Keras
Section 2: MLflow
Section 3: Convolutional Neural Networks
Section 4: Deep Learning Pipelines
Section 5: Horovod
At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:
Your accelerated course includes:
Before attending this accelerated course, you should have experience in:
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.
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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