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Internship-Artificial Intelligence Jobs in Coimbatore - Huminn

Internship-Artificial Intelligence

Huminn
experience-icon 0 Years
salary-icon Not disclosed
Expired

Posted: 09 Dec 21

Job Description

Internship-Artificial Intelligence
Description
Kanneni Artificial Intelligence Training & Internship program is designed for young graduates and working professionals, who can get a chance to work on challenging industry problems and real data sets, Along with living lectures and live projects. This program makes them industry-ready practitioners in the area of Artificial Intelligence and Data Analytics. This industry-ready program builds a solid foundation by covering all the major areas.

Key Highlights and Benefits of Our Training

キ Live Project Hands-on Experience

キ Industry Exposure

キ Training from an industry expert

キ Real-time case studies with industries real data sets

キ Designed to compete working professionals

キ Dedicated student success manager

キ Certificate

Who can attend this program?

Industry You’re looking for grounding in Artificial Intelligence and its business applications in order to innovate in your work and help to transform your organization.

Professional, You’re interested in learning about the selected Artificial Intelligence areas of machine learning, Deep Learning, and natural language processing.

Students / Graduates who are eager to learn future Artificial Intelligence technologies and want to make their career Data analytics.

Job Particulars

Education BE/B.Tech
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeInternship / Projects
Job Id1367470
Locality Address 100 Feet Road, Avinashi Road, Govt Arts College Road, R S Puram, Race Course Road
Country India

About Company

Huminn is an innovation-driven Business Transformation partner helping businesses in their growth phases to realize and increase value. We do this by taking a holistic approach to problem-solving across people, processes, es, and systems to create a sustainable transformation resulting in operational efficiency, growth, culture change, and financial metrics.
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