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Certificate in Artificial Intelligence

Job Description

To provide learners with a strong theoretical foundation of artificial intelligence, focusing on its principles, domains, and implications in technology and society.


Objective: This course provides a comprehensive introduction to the fundamental concepts and techniques of artificial intelligence, including machine learning, natural language processing, computer vision, and intelligent agent design. It equips learners with the knowledge to understand, develop, and apply AI algorithms and systems to address complex problems across various industries.

Eligibility Criteria

Criteria 1

Criteria 2

Experience

Training Qualification

SSLC

Pursuing Continuous Schooling

1 Year

None

12th

Passed

6 Months

None

Degree

Passed

No Experience

Non


Sector

Artificial Intelligence

Certifying Bodies

National Education Training And Development

Type of Organisation

Board of Vocational Education

Learning Module In Job Role/Syllabus

Occupation Standards/Syllabus

NCO Code

Mandatory/ Optional

Duration

  • Introduction Artificial Intelligence

  • Application of Artificial Intelligence

  • Neural Networks

  • Machine Learning

  • Basics of pytorch

  • Deep Learning



N/A





Mandatory




2 Months




Career Opportunities

  • AI Engineer

  • Machine Learning Engineer

  • Data Scientist

  • AI Research Scientist

  • AI Consultant

  • Robotics Engineer

  • Natural Language Processing (NLP) Engineer

  • AI Application Developer

  • AI Product Manager

  • AI Trainer


Duration Hours

Theory :

75

Practical :

75

Employability Skills :

20

OJT (Mandatory) :

20

Specializations in Course

Certificate in Artificial Intelligence (AI) program, graduates acquire foundational knowledge and practical skills in AI technologies, machine learning, deep learning, natural language processing, robotics, and data analysis. With AI being one of the most rapidly advancing fields, graduates can explore a wide variety of career options in industries such as technology, finance, healthcare, manufacturing, and more.


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