Deep Learning Training in Pune

Online or onsite, instructor-led live Deep Learning (DL) training courses demonstrate through hands-on practice the fundamentals and applications of Deep Learning and cover subjects such as deep machine learning, deep structured learning, and hierarchical learning.

Deep Learning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Deep Learning trainings in Pune can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

Image of NobleProg Training Place, City Pune, SB Road - Classroom

5, Senapati Bapat Rd, Shivaji Co operative Housing Society, Bhageerath, Gokhalenagar, Pune, india, 411016

Once known to be a prime residential locale, Senapati Bapat Road today has metamorphosed into a major IT and commercial hub of Pune. Stretching from the crossing of BMCC Road and Law College Road, meandering through an uphill pass carved out from the surrounding green hills, Senapati Bapat Road terminates at the Ganeshkhind Road, just off the prestigious University of Pune. En route, the road houses elite educational institutes such as Symbiosis College of Arts, Commerce and Science, and Symbiosis Institute of Management Studies, in addition to the Regional Passport Office (RPO), a museum dedicated to Dr. Babasaheb Ambedkar, along with a Buddhist pagoda, the Ratna Memorial Hospital, and the historically significant Chaturshringi Devi Temple.

Nearby is significantly dotted with the presence of major IT companies. Senapati Bapat Road serves as a major link road that can be accessed very easily, and connects Pune in every direction. It is just 8km from Koregaon Park, 5 km from Railway Station and 6 km from M.G. Road.

Details about Classroom

All the centres have state of the art audio/video webinars/seminars and presentation solutions. We also provide one-on-one Training sessions upon request. We encourage our students and delegates to bring along their own laptops during the exercises, as this helps in retaining the examples and handson exercises in their systems for post-session reference.

For Sales Enquires and Meetings

All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.

Image of NobleProg Training Place, City Pune, Koregaon Park - T1

36 Koregaon Park Annexe, Mundhwa Road, Ghorpadi, Pune, Next to Hotel Westin, Pune, india, 411001

Koregaon Park is connected with Kalyani Nagar, via the Aga Khan Bridge. Passage to Mundhawa and Magarpatta has been made possible by a recently constructed road. Koregaon Park is located approximately 06 kilometers from the Pune International Airport and about 04 kilometers from the city's main railway station. This region is surrounded by Kalyani Nagar, Yerwada, Ghorpadi, Magarpatta and Sangamwadi area.

Details about Classroom

For Sales Enquires and Meetings

Subcategories (11)

35 Hours

Understanding Deep Neural Networks

35 Hours

Last Updated: 2025-04-16

Testimonials (15)

Hunter is fabulous, very engaging, extremely knowledgeable and personable. Very well done.

Rick Johnson - Laramie County Community College

Course - Artificial Intelligence (AI) Overview

The clarity with which it was presented

John McLemore - Motorola Solutions

Course - Deep Learning for Telecom (with Python)

The trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.

Robert Baker

Course - Deep Learning with TensorFlow 2.0

Tomasz really know the information well and the course was well paced.

Raju Krishnamurthy - Google

Course - TensorFlow Extended (TFX)

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - TWPI

Course - Natural Language Processing with TensorFlow

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum

Course - Applied AI from Scratch in Python

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall

Course - Python for Advanced Machine Learning

Very flexible.

Frank Ueltzhoffer

Course - Artificial Neural Networks, Machine Learning and Deep Thinking

Very updated approach or CPI (tensor flow, era, learn) to do machine learning.

Paul Lee

Course - TensorFlow for Image Recognition

I liked the new insights in deep machine learning.

Josip Arneric

Course - Neural Network in R

We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.

Sebastiaan Holman

Course - Machine Learning and Deep Learning

The global overview of deep learning.

Bruno Charbonnier

Course - Advanced Deep Learning

The topic is very interesting.

Wojciech Baranowski

Course - Introduction to Deep Learning

Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.

Gudrun Bickelq

Course - Introduction to the use of neural networks

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease

Course - Artificial Neural Networks, Machine Learning, Deep Thinking

357,322 INR (Classroom)

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