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PG Diploma / MTech Artificial Inteligence

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Duration

PGDM – 1 Year
M Tech – 2 Years
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IMPORTANT DATES

Last Date to Apply: 28th February 2020
Early Bird Offer: 17th February 2020
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ELIGIBILITY

2+ Years of Experience in IT Domain
Min 50% in BE/BTech or any Equivalent Degree
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Fees

PGDM – INR 350,000
M Tech – INR 450,000

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

From SIRI to self-driving cars, Artificial Intelligence is progressing rapidly. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous vehicles.

Focusing on key AI technologies, such as machine learning, natural language processing, and robotics, the program will help one understand the implications of these new technologies for business strategy, as well as the economic and societal issues they raise. The program will examine how artificial intelligence will complement and strengthen our workforce rather than just eliminate jobs. Additionally, the program will emphasize how the collective intelligence of people and computers together can solve business and social problems.

This is an Artificial Intelligence Engineer master’s course that is a comprehensive learning approach for mastering the domains of Artificial Intelligence, Data Science, Business Analytics, Business Intelligence, and Deep Learning using various tools like Python, TensorFlow, Spark, H2O etc. Upon the completion of the training, you will be able to take on challenging roles in the Artificial Intelligence domain.

PROGRAM OBJECTIVE


This 12/24 months modular program in Artificial Intelligence for working professionals is designed to achieve the following objective.


“Provide in-depth knowledge and skillsets in Artificial Intelligence for Business and Social Problem Solving.”

PROGRAM OUTCOMES

At the end of the program the participants will be able to:
1. Understand the building blocks of AI in terms of intelligent agents, search, knowledge representation, inference, logic and learning.
2. Implement AI systems to solve industrial, business and social problems


The program is designed to transition a professional from basics of dealing with big data to building ML systems and AI applications and to deploy these models enabling real-time learning capabilities. A snapshot of the overall structure is here.


with Industry Partners and Live AI Projects

RACE has a thriving industry connect in consulting and participants will get to work with diverse industry and business setting co-creating AI solutions. The facilities at the campus include state-of-the-art AI labs with NLP/Vision Technology as their core areas of expertise.

Natural Language Technology Lab

Vision Technology Lab with kinetic sensors and 3D cameras

Deep Learning Accelerator

Humanoid simulators and production services



PGD/MTech program is designed to create leaders with deeper insights into businesses through Analytics. The facilitator, teams and individual participants work in sync to realize their inner potential through a variety of pedagogical tools.

Classroom discussions and practical sessions are facilitated by the trainer to provide a strong base to the knowledge levels of participants.

Case studies from real-life scenarios will be provided to anchor the discussions and to tap into more creative, analytical and expansive thinking.

Hands-on training on ten plus data/business analytical tools.

Simulations and role plays are used as tools to enhance the involvement and commitment of participants.

Group discussions are inbuilt in all the courses nurturing peer learnings and persuasive communications.

Online communities and interactions are in-built to enable seamless learning possibilities.

Continuous Assessment and 3600 feedback to improve personal and team efficiency.

Facilitated learning during non-contact hours.

Presentations and written assignments to improve verbal and oral communication skills.


Dr. J.B. Simha

CTO/Director, Analytics, ABIBA Systems


Ratnakar Pandey

India Head Analytics & Data Science at Kabbage, Inc


Pradeepta Mishra

Head of AI-ML and Data Science at LTI (Lymbyc)


Dr. Santhosh Nair

Founder & Director, Analytic Edge


Ravi Shukla

Data Scientist with Dell EMC


Akshay Kulkarni

Lead Data Scientist at Sapient


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