Schedule for Training in Pune

Dear All,

Due to a large number of requests for Weekend batches, we have come up with a new Saturday - Sunday Batches. This is going to be the last scheduled training for this calendar year. Further, we are open to organising/conducting STTPs/FDPs for staff as well as students, in your college/company. Let us know if you are interested.

The new timings are as follows: (Fees listed DOES NOT INCLUDE 18% GST. This will be added to the final payable fees as applicable.)

 

CodeCourseDuration
(Hours)
Final/Confirmed
Dates/Days
Fees for Students & Faculties (Rs.)Fees for ALL
others (Rs.)
Early Bird Offer
for ALL Others (Rs.)
M1 MATLAB Training (Fundamentals + Advanced) 24 Saturday-Sunday Batch
8 Days:
9-10, 16-17, 23-24, 29th  Sept. & 1st Oct. 2017 
Saturday Time: 6:30 – 9:00 PM

Sunday Time: 2:30 PM – 5:30 PM
6,000 8,000 7,200
(till 3rd Sept.)
M2 Foundations of Machine Learning (Algorithms): Pen-paper calculations 24

Saturday-Sunday Batch
6 Days: 17, 24 Sept.; 1, 7, 8, 14 October 2017 
 
Saturday Time: 9:15 AM - 2:00 PM

Sunday Time: 8:00 AM – 11:00 AM

6,000 16,000 14,000 (-12.5%)
(till 10th Sept.)

M3

Machine Learning in MATLAB
(Hands-on Coding)

18

New Schedule to be decided

TBD TBD  
M4 Optimization Algorithms in MATLAB (Hands-on incl. GA, PSO & ACO) 15 New Schedule to be decided TBD TBD  
M5 Deep Learning in MATLAB 12-15 hours

New Schedule to be decided

TBD TBD  
  M2 + M3    As above  12,000 8,000 18,000 14,000  
  M2 + M3 + M5   As above  14,000 8,000 17,000  10,000  
L1 LabVIEW Programming Hands-on (Fundamentals +Intermediate) 36 Sunday Batch
6 Days: 10, 17, 24 Sept.; 1, 8, 15, 22, 29 October 2017 

Time: 11:00 AM – 2:00 PM on 10th, 17th, 24th Sept. & 1st Oct. 
Time: 11:00 AM - 5:30 PM on 8th, 15th, 22nd & 29th Oct.
15,000
12,000 (-20%)
(till 5th Sept.)

25,000 20,000 (-20%)
(till 5rd Sept.)
           
P1

Python for Data Science (Hands-on)

36 Saturday-Sunday Batch
08 Days: 28-29 Oct; 11-12, 18-19,25-26 Nov 2017 
 
Saturday Time: 9:30 AM - 1:00 PM
Sunday Time: 8:00 AM – 1:00 AM
8,000 16,000 14,000 (-12.5%)
(till 10th Sept.)
P2 Machine Learning in Python (Hands-on) 36

Saturday-Sunday Batch
08 Days: 2-3, 9-10, 16-17, 23-24 December 2017 
 
Saturday Time: 9:30 AM - 1:00 PM
Sunday Time: 8:00 AM – 1:00 AM

8,000 16,000 14,000 (-12.5%)
(till 10th Sept.)
P3 Deep Learning in Python 
(Hands-on)
24

Saturday-Sunday Batch
6 Days: 6-7, 13-14, 20-21 January 2018 
 
Saturday Time: 9:30 AM - 1:00 PM
Sunday Time: 8:00 AM – 1:00 AM

8,000  16,000 14,000 (-12.5%)
(till 10th Sept.)
   M2 + P2  60  As above   16,000 12,000  32,000 24,000 (-25%) 20,000 (-37.5%)
(till 10th Sept.)
  M2 + P2 + P3 (Machine Learning Specialization) 96  As above  24,000 16,000  48,000 30,000 (-37.5%) 27,000 (-43.75%)
(till 10th Sept.)
  M2 + P1 + P2 + P3 (Most Popular) : Data Science Specialization 120 As above 32,000 20,000  64,000 36,000 (-43.75%)  32,000 (-50%)
(till 10th Sept.)
   P2 + P3  60  As above 16,000 12,000 32,000 24,000 (-25%) 14,000 (-12.5%)
(till 10th Sept.)
  P1 + P2 + P3  96 As above 24,000 16,000  48,000 30,000 (-37.5%) 14,000 (-12.5%)
(till 10th Sept.)
H1 Raspberry Pi and Internet of Things
(using Python)
16-30 New Schedule to be decided
     
H2 IoT and Automation
(MATLAB/SIMULINK + Arduino + ThingSpeak Server)
16-30 New Schedule to be decided
     

Training Registration Form

Important Notes:

" Foundations of Machine Learning (Algorithms): Pen-paper calculations " course is a non-coding course, which is a MUST for ALL persons desirous of learning Machine Learning from mathematical and algorithmic point of view. We will focus more on the theoretical aspects of the algorithms, parameters and hand-calculations will be done on dummy data step-by-step. In some cases, to automate the calclations, we will be using MS Excel.

This page is getting updated constantly. 

Page Last Updated: Monday 04-Sep-2017 10:38:57 IST

Suggested Specialisations:

Machine Learning in MATLAB Specialisation: M1+M2+M3, and optionally M4
Machine Learning in Python Specialisation: P1+M2+P2+P3 (includes "Foundations of Machine Learning Course")


Discount Offers:

The discount offers keep dynamically changing without notice, and this page reflects the currently applicable offers. 
Group discounts are available for non-bundled courses, as follows:
For a group of 2 attendees: 10% discount on total fees.
For a group of 3 attendees: 20% discount on total fees.
For a group of 4 attendees: 30% discount on total fees.
For a group of 5 or more attendees: 40% discount on total fees.
For a group of 10 or more attendees: 50% discount on total fees.

The only condition is that the total fees (course fees x no. of people attending - applicable discount) must be paid in a single transaction.

For example for a group of 3 working professionals enrolled in M2 course, total course fees come to 16,000 x 3 = 48,000/-. Now the group discount over this amount is 20%, that is, Rs. 9,600/-. So the net payable fees for the group will be Rs. (48,000 - 9600) = Rs. 38,400/-. + 18% GST over Rs. 38,400 = Rs. 45,312/-.

"Discounted" fees (for bundled courses) are not eligible for further group discounts. If you are still confused about the discount pricing, do call us for clarifications.

Training Registration Form

Fees Payment Information

Please pay the training fees before you start filling up the registration form below.
You will require to fill up the Transaction number in the last page of the registration form. All the above fee includes applicable taxes.

The fees can be paid by NEFT/IMPS in the following bank account mentioned below:


You can use the link below to pay the fees online by either using your Credit Card, Debit Card, Internet Banking (ALL Banks supported), mobile wallets (Mobikwik, Ola Money, Freecharge, Jiomoney), UPI, or your Instamojo account/wallet.


You can also pay by scanning the following PayTM QR Code:


When You have made the payment, and you are ready with the Transaction Number, please click the link below to fill up the Registration Form.

Training Registration Form