• CELSIUS TEAM

CAREER IN ARTIFICIAL INTELLIGENT & MACHINE LEARNING

INTRODUCTION

Artificial Intelligence belongs to a field of science And engineering in which studies and research Aim to develop intelligent computer machines That can perform tasks with human intelligence. It includes speech recognition, visual perception,logic and decision, multi-language translation and more. Digitized  bits

 of data are interpreted and Turned into significant experiences and outcomes With aid / assistance of robotics, automation and  Sophisticated  computer  software and programs.

COURSES

  • Machine Learning (Intermediate Level) -Prerequisites Probability and Statistics (Or equivalent course). Some background In linear algebra and optimization.  (IISc, Bangalore)

  • Advanced Certification in Artificial Intelligence & Machine Learning (From IIIT-H)

  • B. Tech Computer Science & Engineering with specialization in AI & Machine Learning

  • B. Tech CS or IT/ECE/ME/IN or M.Sc.degree in CS/IT graphic design,Information technology, health informatics, or equivalent.

ELIGIBILITY

10+2 Science

After, B Tech, valid GATE scores is required for M.

Tech. CS/AI/IT, IC Technology and Bioinformatics.


INSTITUTES/ UNIVERSITY

  • IISc, Bangalore

  • IIT Bombay

  • IIT Kharagpur

  • IIIT Hyderabad, Allahabad

  • IIT Madras

  • University of Hyderabad

SKILLS REQUIRED FOR ARITIFICIAL AND MACHINE LEARNERS

Becoming a Artificial and machine learning engineer means preparing oneself to handle interesting and challenging tasks that would change the way humanity is experiencing things right now. It demands both technical and non-technical expertise. Firstly, let’s talk about the technical skills needed for a machine learning engineer. Here is a list of technical skills a machine learning engineer is expected to possess:

  • Applied Mathematics

  • Neural Network Architectures

  • Physics

  • Data Modeling and Evaluation

  • Advances Signal Processing Techniques

  • Natural Language Processing

  • Audio and video Processing

  • Reinforcement Learning

DUTIES AND RESPONSIBILITIES FOR ARTIFICIAL &MACHINE LEARNING ENGINEERS

  • Perform statistical analysis

  • Fine tuning test results 

  • Train and retrain systems 

  • Work on frameworks

  • Undertaking machine learning experiments and test

  • Designing a machine learning program  

  • Developing deep learning systems to various use cases based on the business needs and 

  • Finally, implementing suitable AI/ML algorithms


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