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.
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.
After, B Tech, valid GATE scores is required for M.
Tech. CS/AI/IT, IC Technology and Bioinformatics.
IIIT Hyderabad, Allahabad
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:
Neural Network Architectures
Data Modeling and Evaluation
Advances Signal Processing Techniques
Natural Language Processing
Audio and video Processing
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