AI and Deep Learning Workshops

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These Workshops are being planned across India at different locations. We will keep on adding new dates and Venues for the workshops. To get continuous updates about new locations Subscribe Here

Upcoming Workshops

Medak, Telangana

November 24, 2018 to November 26, 2018 Venue and Contact Person details


December 19, 2018 to December 23, 2018 Venue and Contact Person details

Kovilpatti, Tamilnadu

December 28, 2018 to December 30, 2018 Venue and Contact Person details


January 19, 2019 to January 21, 2019 Venue and Contact Person details


February 02, 2019 to February 04, 2019 Venue and Contact Person details


February 09, 2019 to February 11, 2019 Venue and Contact Person details
Workshops By Partners
  • A Two day Workshop

    A Two day Workshop on Deep Learning and Industrial Applications 3rd & 4th August 2018
    Organized By
    Bannari Amman Institute of Technology
    Read Details

  • A Course on

    Artificial Intelligence & Applications
    Organized By
    G. H. Raisoni Institute of Engineering & Technology

    Read Details

  • National Workshop

    National Workshop on Recent Trends in Artificial Intelligence and Cyber Physical System (CPS)
    Organized By
    Sri Ramakrishna Engineering College
    Read Details

  • A Two day Workshop

    Deep Learning Using TensorFlow with Keras 14th & 15th September 2018
    Organized By
    Kongunadu College of Engineering & Technology
    Read Details

Workshops Completed/Planned

Marwadi University, Rajkot, Gujarat

June 1, 2018 to June 3, 2018 ( Feedback) ( Toppers )

Bennett University, Greater Noida, NCR, UP

June 5, 2018 to June 7, 2018 ( Feedback) ( Toppers )

Girijananda Institute of Management and Technology, Guwahati, Assam

June 9, 2018 to June 11, 2018 ( Feedback ) ( Toppers )

Symbiosis Institute of Technology, Pune, Maharashtra

June 13, 2018 to June 15, 2018 ( Feedback ) ( Toppers )

S R Engineering College, Warangal, Telangana

June 17, 2018 to June 19, 2018 ( Feedback ) ( Toppers )

Madanpalle Institute of Technology and Sciences, Chittoor District, Andhra Pradesh

June 21, 2018 to June 23, 2018 ( Feedback ) ( Toppers )

Saintgits College of Engineering, Kottayam, Kerala

June 25, 2018 to June 27, 2018 ( Feedback ) ( Toppers )

S R K R Engineering College, Bhimavaram, Andhra Pradesh

June 28, 2018 to June 30, 2018 ( Feedback ) ( Toppers )

CHARUSAT, Changa, Gujarat

July 07, 2018 to July 09, 2018 ( Feedback ) ( Toppers )

CMR College of Engineering and Technology, Hyderabad, Telangana

July 14, 2018 to July 16, 2018 ( Feedback ) ( Toppers )

Galgotias University, Greater Noida, U.P.

July 17, 2018 to July 19, 2018 ( Feedback ) ( Toppers )

FR. Conceiao Rodrigues College of Engineering, Mumbai, Maharashtra

July 21, 2018 to July 23, 2018 ( Feedback ) ( Toppers )

Kongu Engineering College, Erode, Tamilnadu

July 28, 2018 to July 30, 2018 ( Feedback ) ( Toppers )

KLE Technological University, Hubballi, Karnataka

August 11, 2018 to August 13, 2018 ( Feedback ) ( Toppers )

Bhilai Institute of Technology, Durg, Chhattisgarh

August 18, 2018 to August 20, 2018 ( Feedback)( Toppers )

National Institute of Science and Technology, Berhampur, Odisha

September 1, 2018 to September 3, 2018 ( Feedback)( Toppers )

G H Raisoni College of Engineering, Nagpur, Maharashtra

September 8, 2018 to September 10, 2018 ( Feedback)( Toppers )

Aditya Silver Oak Institute of Technology, Ahmedabad, Gujarat

September 6, 2018 to September 08, 2018

GIMT, Guwahati

September 6, 2018 to September 08, 2018 on Big Data Analytics Using Hadoop

Galgotia University, Greater Noida

September 14, 2018 to September 15, 2018 on Machine Learning

Ramco Institute of Technology, Rajapalyam, Tamilnadu

September 14, 2018 to September 16, 2018 ( Feedback)( Toppers )

Ansal University, Gurugram

September 22, 2018 to September 23, 2018

Galgotia College of Engineering and Technology, Greater Noida

September 25, 2018 to September 26, 2018

Model Institute of Engineering and Technology, Jammu

September 29, 2018 to October 01, 2018( Feedback)( Toppers )

Gandhigram Rural Institute, Dindigul, Tamilnadu

October 04, 2018 to October 05, 2018

CMR Group of Colleges, Hyderabad

October 06, 2018 to October 0, 2018 on Hands on MOOC Development

Dr. D. Y. Patil School of Engineering and Technology, Pune, Maharashtra

October 06, 2018 to October 08, 2018( Feedback)( Toppers )

Poornima University, Jaipur

October 12, 2018 to October 14, 2018 ( Feedback)( Toppers )

Amritsar College of Engineering and Technology, Amritsar

October 22, 2018 to October 23, 2018 on IoT and Drones

ABES Engineering College, Ghaziabad, UP

October 26, 2018 to October 27, 2018

Galgotia University, Greater Noida

November 02, 2018 to November 03, 2018 on Big Data Analytics

Marwadi University, Rajkot

November 02, 2018 to November 03, 2018 on Machine Learning

MAM College of Engineering and Technology, Tiruchirappalli

November 10, 2018 to November 11, 2018

Pragati Engineering College, Surampalem, AP

November 16, 2018 to November 17, 2018 on Big Data Analytics

Narasaraopeta Engineering College, AP

November 23, 2018 to November 24, 2018 on Machine Learning

Vasireddy Venkatadri Institute of Technology, Guntur, AP

November 24, 2018 to November 25, 2018 on IoT and Drones

Sri Ramakrishna Engineering College, Coimbatore

November 30, 2018 to December 02, 2018 on IoT and Drones

Sri Padmavati Mahila Visvavidyalayam, Tirupati

December 01, 2018 to December 02, 2018 on Big Data Analytics

SRK Institute of Technology, Vijaywada

December 08, 2018 to December 09, 2018 on Machine Learning

Sri Vasavi Engineering College, Tadepalligudem

December 08, 2018 to December 09, 2018 on Big Data Analytics

S R Engineering College, Warangal

December 08, 2018 to December 09, 2018 on IoT and Drones

Day 1



Session 1

Foundations and Terminology of Deep Learning

Session 2

Machine Learning Basics
Linear Regression, Logistic Regression Gradient Descent
Session 3
Designing & Optimizing Neural Network Model
Building Deep Models and Hyperparameter Tuning
Session 4
Deep Learning Hacks
System/project level tricks and regularization strategies
Day 2
Session 1
Convolutional Neural Network
Computer Vision with CNNs
Session 2
Recurrent Neural Network
Sequence Modelling with RNNs, generative modelling in Deep Learning
Session 3
Advanced Learning Topics
Hands-On Labs
Session 4
Day 3 - NVIDIA Deep Learning Institute Hands on Labs
The NVIDIA Deep Learning Institute offers hands on training for developers, data scientists and researchers, looking to solve challanging problems with deep learning
09:00 - 11.00 Image Classification with DIGITS (lab)
11:00 - 1:00 Object Detection with DIGITS (lab)
2:00 - 4.00 Azure Notebook on CNN Transfer Learning and Auto Encoders (lab)

Points to Note:

  1. Two day Deep Learning Workshop followed by a One day NVIDIA DLI workshop are completely free for Collaborators (20 pax), Zonal leads (5 pax), Basic partners (2 pax). All such faculty members from these institutions should contact their institution's Single point of contact for coupon codes with 100% discount.
  2. Apart from those not being covered by point one, For all other academic participants, the fee for the workshop is 6000 INR + 18% GST (Total 7080 INR). This Fees is only for two days of Deep Learning Workshop by initiative. NVIDIA DLI workshop will be given free to all such participants.
  3. For all Industry professionals the fee for the workshop is 6000 INR + 18% GST (Total 7080 INR). This Fees is only for two days of Deep Learning Workshop by initiative. They are not allowed to attend NVIDIA DLI workshops as per the Guidelines from our Industry collaborator.
  4. All those who successfully register in a workshop will get a referral code. This referral code will be available in your dashboard. Once five people use your referral code to do their workshop registration, then you will get 5000 INR credited to your account. This will go on like this for additonal five referrals hereafter. That means you will get 5000INR for every five referrals of your referral code for workshop registration.
  5. Your referral code can not be combined with the discounted registrations. Even those who themselves have done discounted registration with 100% or 10% discount can use this referral offer to popularize the workshops.
  6. For IEEE members, ACM Members, CSI Members, UG/PG/PhD students and for persons with a referral code there is a discount of 10% on base fee, so it will come down to 5400+18%= 6372 INR. If you fall in more than one category (e.g You are a student and IEEE member), still the discount will remain the same i.e 10%.
  7. All participants will get participation certificate, if they attend the respective workshops in full. However, all those who clear the assessment test will receive the "successfully completed certificate". Assessment Test will consist of 30 Multiple Choice Questions and you need to answer atleast 15 questions correctly. NVDIA DLI Workshop Certificate will be separately given by NVIDIA
  8. Working Lunch and Tea/Snacks in the morning and evening for all three days will be given without any cost.
  9. Stay arrangements differ at different locations depending upon the facility being given by the respective institution. You should check at the link given against each location.
  10. All should come with their laptops for the workshop. However, it is not mandatory. Those without laptops may not be able to enjoy the hands on tasks and coding experience. Without laptops participants may not be able to complete the NVIDIA Labs
  11. For whatsoever reasons if you dont attend the workshop Registration Amount is non-refundable and Coupon can not be reused again for some other workshop.
  12. Make sure that their laptop is set up prior to the workshop by following these steps:Ensure websockets runs smoothly on their laptop by going to Make sure that WebSockets work for the laptop by seeing under Environment, WebSockets is supported and Data Receive, Send and Echo Test all check Yes under WebSockets (Port 80). If there are issues with WebSockets, try updating browser or trying a different browser. The labs will not run without WebSockets support Best browsers for the labs are Chrome, FireFox and Safari. The labs will run in IE but it is not an optimal experience.

Pre-requisite: Workshop Lab Material with Azure Notebooks

Our workshop notebooks based on Tensorflow and Keras can be practiced using free online platform Azure Notebooks.
  • Account creation: To get started with Azure notebooks you have to log-in to using the Microsoft account. If you have an existing Microsoft account you can use it for logging in to Azure Notebooks. Otherwise you can create a Microsoft account in

  • Getting started with Azure Notebook: After logging-in, you can click on “Library” tab to go into your library where you can “Add a new Library”. After creating a library, you can add new file which can be Notebooks of Python, R or F#.

  • Using Existing Repos: If you have the URL of some existing repositories, you can clone them into your library. For example the below library can be cloned by visiting the URL.
    After visiting the URL, you can press “Clone” to copy the entire folder/repository into your library. Then any modification can be done by opening, editing and running those .ipynb notebooks.

  • Our Notebooks: During the time of workshop, we will share links to our notebook repository for your practice.

Pre-requisite: Workshop Lab Material with Anaconda Python in your Laptop/PC (Optional)

If you cannot use Azure Notebook services during the workshop, our same lab material can be used by installing Anaconda Python and necessary packages.

Anaconda 5.1 - Python Version 3.6 You can Download it from the link freely from the given link.

Click here

Python Libraries: numpy, pandas, sklearn, nltk, tensorflow, keras and for plotting matplotlib

Installation of Packages:
  1. For installing the above mentioned python packages please follow the procedure mentioned below.

  2. For installing new packages, system must be connected through internet.

  3. Press start in windows and search for "Anaconda Prompt". When you will click on the application, a prompt window will be open,wait for few seconds.

  4. You can check/ install any package in Anaconda Python by..
          pip install package_name

f-ex: pip install numpy
and press Enter key after typing these commands.

Note. If you are installing numpy like this, it will give requirement already satisfied message on the prompt. that means package is already installed in the anaconda python.

Installing Opencv for Image processing

Start the Anaconda Prompt: Press start in windows and search for "Anaconda Prompt". when you will click on the application, a prompt window will be open, wait for few seconds.

type command:
pip install opencv-python
press Enter.

Installing Tensorflow and Keras:

Start the Anaconda Prompt in administrator mode: Press start in “windows”, type “Anaconda Prompt”, and right click on the application and click “Run as Administrator”.

Repeat step 2
pip install tensorflow
pip install keras

Help: You can also take help of YouTube video: for sample installation of Anaconda + Tensorflow + Keras

Note: If you want to work with regular python installed from (, installation of numpy, pandas, sklearn, ntlk, tensorflow, keras libraries can be still done using “pip install” command similar to step 2 and 3. However, installation of Anaconda Python is highly encouraged rather than naïve python.

Others useful platforms

Tensorflow using Google Colab

Sign-in using Google Account to access free Online Tensorflow notebooks at

GitHub Account

To join GitHub, the world's leading software development platform, visit the following URL.

GitHub is widely used for open-source software development, you can use it to

  1. Make your project repositories easily accessible from anywhere
  2. Maintain history and control versions easily
  3. Collaborate with other developers that helps you to develop a network
  4. Fork other developer's repositories and can show up your work to them.
  5. Build a profile to impress the recruiter

Useful links to go through before the workshop
GitHub Links:


Book and other Resources: ML Basic

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