Post Graduate Program In Deep Learning

Key Facts

Course Code: ND1803DL01 Duration: 10 hours/week x 17 weeks
Capacity: Cohorts of 25 per class Course Fee: 1,50,000/- INR + applicable GST
Medium of Instruction: English Location: AILABS, J-3, Block-GP, Sector -V, Salt Lake City, Kolkata - 700 091

Key Facts

Course Code: ND1803DL01
Duration: 10 hours/week x 17 weeks
Capacity: Cohorts of 25 per class
Course Fee: 1,50,000/- INR + applicable GST
Medium of Instruction: English
Location: AILABS, J-3, Block-GP, Sector -V, Salt Lake City, Kolkata - 700 091

Purpose

Artificial Intelligence is transforming the world. Deep Learning, an integral part of this new Artificial Intelligence paradigm, is becoming one of the most sought after skills. If you wish to build a career in Artificial Intelligence, this Nano Degree will help you do so.


Aim

This course will establish a concrete foundation of the key concepts of Artificial Intelligence and showcase the techniques that form the current basis of Machine Learning and Deep Learning. It will cover the foundations and progressively build your knowledge base, which will converge to a series of lectures on Convolutional Neural Networks.


Payment Terms & Conditions

All fees are payable at the beginning of the course work. Payment mode - online transfer, debit card or credit card.


Eligibility Criteria

Bachelor's degree in Science, preferably in Physics, Mathematics, Statistics, Economics OR Bachelor's degree in Engineering.


Application Procedure

         

Course Structure

The course will be a blend of classroom learning augmented by additional content delivered through Audio Visuals, hands on coding, problem solving, invitational talks and workshops.


Modules

Module 1: Neural Networks and Deep Learning
Introduction to Deep Learning | Neural Networks Basics | Shallow Neural Networks | Deep Neural Networks

Module 2: Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Practical aspects of Deep Learning | Optimization Algorithms | Hyperparameter tuning, Batch Normalization and Programming Frameworks

Module 3: Structuring Machine Learning Projects
Machine Learning Strategies - Part 1 | Machine Learning Strategies - Part 2

Module 4: Convolutional Neural Networks
Foundations of Convolutional Neural Networks | Deep Convolutional Models and Case Studies | Object Detection | Special Applications

Admission Test Syllabus

Mathematical Aptitude (Standard XII)
Logical Reasoning


Assessment Procedure

The composite score in a course shall be the weighted average of the scores in lab-tests, assignments and practicum. Certificate shall be awarded on successful completion of the course.


Software & Tools

Libraries: TensorFlow, numPy, SciPy, Matplotlib, Scikit-Learn
Language: python
Distribution: Anaconda

Invitational Talks

Short invitational talks will be organized for each module, injecting the latest trends in research and industry.


Workshops

Workshops will be organized, one in each month, where leading peers both from industries and academic institutions will be invited for orientation on AI application in different spheres.


Study Materials

Access to various online courses, list of reference books and journal papers shall be provided for reference at the beginning of each module. The entire course will be made available to participants through Learning Management System. LMS will also include video recordings of the class lectures, a chat facility and self-accessing MCQs.

Information Camps

For any query on Nano Degree course, feel free to visit/call our counselors at:
Information Camp
AILABS
J-3, Block-GP, Sector -V, Salt Lake City, Kolkata - 700 091


Contact Details

Post: AILABS, J-3, Block-GP, Sector-V, Salt Lake City, Kolkata - 700 091
Dial: +91 33 46034216 / 17
Email: admissions@ailabs.academy | dean@ailabs.academy