Deep Learning Training - TensorFlow Certification

Live Classes
Deep Learning Training with TensorFlow Certification by Edureka is curated with the help of experienced industry professionals as per the latest requirements & demands. This Deep learning certification course will help you master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. You will be working on various real-time projects like Emotion and Gender Detection, Auto Image Captioning using CNN and LSTM, and many more.
19k+ satisfied learners Read Reviews

Why should you take Deep Learning Training - TensorFlow Certification?

TensorFlow 2.0 is the most widely used Deep Learning library, developed and managed by Google
Keras is now integrated with TensorFlow 2.0 thereby making it more powerful
The average salary for "Data Scientist" is approximately $113,000 per year – Glassdoor.com

Instructor-led Deep Learning Training - TensorFlow Certification live online classes

Feb 26 th 
Fri & Sat (5 Weeks) Weekend Batch Sold Out Timings - 08:30 PM to 11:30 PM (EST)
Apr 03 rd 
Sat & Sun (5 Weeks) Weekend Batch Filling Fast Timings - 10:00 AM to 01:00 PM (EST)
Jun 04 th 
Fri & Sat (5 Weeks) Weekend Batch Timings - 08:30 PM to 11:30 PM (EST)

Course Price at

350 389
10% OFF Expires in
  • 00day
  • 00:
  • 00:
  • 00
ENROLL NOW
No Cost EMI starts at 1,799 / month View more
×
Financing Options
Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest. Click on View More to avail. Conditions Apply.

Can’t find a batch you were looking for?

Deep Learning Training Curriculum

View course curriculum
Hide Curriculum

Deep Learning Certification Description

View course curriculum
Hide Curriculum

Deep Learning Training with TensorFlow Certification

Edureka’s Deep Learning Engineer Certificate Holders work at 1000s of companies like

GET IN TOUCH

Testimonial Reviews

Janardhan SingamaneniPrincipal Data Engineer at Staples
I took kafka and datascience classes with EDUREKA and its overall nice. After thorough scanning of a ... Read More
P
Puneet Jhajj
I have done Spring Framework and Hadoop framework training from Edureka. I am very happy with the tr ... Read More
Mohit Sharma
I have been subscribing to Edureka's courses for almost a year now, primarily related to Big Data an ... Read More
Zakir KhanSenior Associate, Syntel, Thane, Maharashtra, India
The unique combination of Online Classes with 24*7 On-Demand Support and class recordings/ppt/docs e ... Read More
Karunakar ReddySenior System Analyst at Santander UK
Edureka has very good instructors and technical support team, I have completed the course BIG DATA & ... Read More
Chandrasekhara Rao Chitiprolu
I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cass ... Read More

Deep Learning Certification Project

Deep Learning Training Features

Instructor-led Live Sessions

30 Hours of Online Live Instructor-led Classes. Training Schedule: 10 sessions of 3 hours each.

Assignments

Each class will be followed by practical assignments.

Lifetime Access

You will get lifetime access to LMS where presentations, quizzes, installation guides & class recordings are available.

24 x 7 Expert Support

We have a lifetime 24x7 online support team to resolve all your technical queries, through a ticket based tracking system.

Certification

Successfully complete your final course project and Edureka will certify you as a Deep Learning Engineer.

Forum

We have a community forum for our learners that further facilitates learning through peer interaction and knowledge sharing.

Deep Learning Training FAQ

View course curriculum
Hide Curriculum
"PMP®","PMI®", "PMI-ACP®" and "PMBOK®" are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc.
X
playicon

Get a Glimpse of the course

Watch Course Preview

Scroll Up