Artificial Intelligence and Machine Learning
Course Report
Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.
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Course Features
Duration
20 weeks
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Instructor Paced
Course Description
Highlights
Career Impact
Top 5 Percentile
Hands on training
Top 20 Percentile
Pedagogy
Top 20 Percentile
Parameters
Pedagogy
This comprehensive course equips you with all major Machine Learning skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations.
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Hands on training
This course stands out as one of the top 20 percentile options in Machine Learning, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Virtual Labs, this course is tailored to meet diverse educational needs.
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Career Impact
This course is exceptional, ranking among the top 5 percentile in Machine Learning for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Machine Learning field.
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Course Overview
Live Class
Virtual Labs
Job Assistance
Human Interaction
Personlized Teaching
Post Course Interactions
Hands-On Training,Industry Exposure,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
A prior coding experience and a good hold in mathematics will be beneficial
What You Will Learn
The basic concepts of AI and Machine Learning
The practical components of developing AI apps and platforms
Fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving
Logic and reasoning methods from a computational perspective
Course Instructors
Dr A Devipriya
Assistant Professor (Sl.G)
Dr. N. Yuvaraj
HOD/ Dept of Artificial Intelligence and Data Science.
Dr. K R Sripreethaa
Assistant Professor (Sl.G)