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

Workshops Announced Till Date

Rajkot, Gujarat

June 1, 2018 to June 3, 2018 ( Feedback of the Workshop by all participants )

Greater Noida, NCR, UP

June 5, 2018 to June 7, 2018 ( Feedback of the Workshop by all participants )

Guwahati, Assam

June 9, 2018 to June 11, 2018 ( Feedback of the Workshop by all articipants )

Pune, Maharashtra

June 13, 2018 to June 15, 2018 ( Feedback of the Workshop by all participants )

Warangal, Telangana

June 17, 2018 to June 19, 2018 ( Feedback of the Workshop by all participants )

Chittoor District, Andhra Pradesh

June 21, 2018 to June 23, 2018 ( Feedback of the Workshop by all participants )

Kottayam, Kerala

June 25, 2018 to June 27, 2018 ( Feedback of the Workshop by all participants)

Bhimavaram, Andhra Pradesh

June 28, 2018 to June 30, 2018 ( Feedback of the Workshop by all participants )

Changa, Gujarat

July 07, 2018 to July 09, 2018 ( Feedback of the Workshop by all participants )

Hyderabad, Telangana

July 14, 2018 to July 16, 2018 ( Venue details and Contact Person details )

Galgotias University, Greater Noida, NCR and U.P.

July 17, 2018 to July 19, 2018 ( Venue details and Contact Person details )

Mumbai, Maharashtra

July 21, 2018 to July 23, 2018 ( Venue details and Contact Person details )

Erode, Tamilnadu

July 28, 2018 to July 30, 2018 ( Venue details and Contact Person details )

Hubballi, Karnataka

August 11, 2018 to August 13, 2018 ( Venue details and Contact Person details )

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, Autoencoders, generative modelling in Deep Learning
Session 3
Advanced Learning Topics
Hands-On Labs
Session 4
Assessment Test
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 Neural Network Deployment with DIGITS and TensorRT (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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