Program Description and Objectives
Machine Learning (ML) and Deep Learning have been subjects of study since the inception of neural networks. With advancement in technology, especially, Graphical Processing Units (GPUs), the demand for knowledgeable and skilled personnel in this area has received a fillip. Applications of ML & Deep Learning range from Computer Vision to Speech recognition & translation to marketing and to drug discovery. It is one of the fastest growing fields of Artificial Intelligence. The objectives of the present program are:
Who should attend
The course is especially designed for executives from industry, students, faculty, and research scholars who are interested in understanding the concepts and practical applications of Machine Learning, Deep learning and Artificial Intelligence. A simple programming background would be preferable.
We are keenly aware that our participants come from varied backgrounds—both college wise and basic-education-wise. We strongly believe that a course in data analytics can only be practice-based rather than theory based. We also believe that a practice based course requires constant interaction with the teacher during lecture hours in real time. As it is an online course, the teaching pedagogy is like this: First, the theory part is conceptually explained without getting into mathematics and then a project is undertaken to implement the techniques. Datasets for implementation are made available in advance and so a copy of code (or hints on it) that we need to execute. The code is numbered and copiously commented so that long after the lecture has finished, students can go back through the code/comments and refresh their knowledge. During the lecture, we execute this code (or prompt students to fill in the gaps), line-by-line and explain the steps. At his end, the student executes the required code on his laptop. Consequently, results are available at our end as also with the Students immediately. In short, both the teacher and students are working on their respective laptops simultaneously; students solve their problems and ask any questions to clarify. The whole experience is just as if everyone is sitting in a laboratory and working together. Our e-learning platform has a wealth of material and articles reflecting latest developments in this field; it is frequently updated. Students are assured of continued access to e-learning site even after the program has finished.
Program Duration: 71 Hours
Saturday - 02:00 PM to 05:00 PM (from 30th March to April End)
Sunday - 03:00 PM to 05:00 PM (May ?ll the end of the course)
The sessions will be delivered on Education Lanes(TMGFL) platform through Direct to Desktop mode.
Course Fees are payable by Student directly to Tech Mahindra Growth Factories Limited
Course Fee :
Rs. 40,000/- + GST (Lump sum Payment Discount of INR 5,000/- to be given to all participant joining this course)
Other Fee :
Rs. 5,000/- + GST : E-resources/Virtual Machine containing learning ecosystems & Software’s(Mandatory Fees)
Collection of Fee:
|Installment Schedule||Registration Fees||Admission Fees||1st Installment|
|Installment Amount||10,000/- + GST||15,000/- + GST||15,000/-+ GST|
|Installment Date||At the time of Enrollment||Mar 19||Jun 19|
|E-resources/Virtual Machine containing learning ecosystems & Software’s (Mandatory Fees)||Rs 5,000/- + GST per participant||Payable directly to FORE School of Management, New Delhi.|
Assessments: Based on Performance in Exercises & Projects
Tech Mahindra Growthd Factories Ltd.
A - 20, Sector - 60, Noida - 201301
Mobile:+ 91 9975806184