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Artificial Intelligence Assistant

NQR Code:QG-03-IT-00356-2023-V1-NIELIT

  • Old Code: QG-03-IT-00356-2023-V1-NIELIT

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About this Qualification

Job Description

The Artificial Intelligence (AI) Assistant Qualification will cover the fundamentals of Python programming and libraries like Numpy and pandas used for data analysis. The course will also cover Visualization with Matplotlib. The course will lay stress on developing programming skills by providing practical exposure to the aspiring Python developers and also introduce to the concepts of Machine Learning. Participants from any background can develop the skills needed to become an AI Assistant

Eligibility Criteria

Criteria 1 Criteria 2 Experience Training Qualification
10th Passed No Experience None
8th Passed No Experience NTC/NAC
8th Pursuing Continuous Schooling No Experience None
8th Passed 2 years None

Progression Pathway

  • Academic: Vertical: Level 4: Foundation course in Artificial Intelligence Applications
  • Certified Artificial Intelligence (AI) Associate "Upskilling“ Level 5: Courses in AI: AI -Machine learning Developer
  • Machine Learning (ML) Engineer -> Level 6: Courses in AI: AI - Business Intelligence Analyst
  • AI - Database Administrator
  • AI – Data Quality Analyst
  • AI – DevOps Engineer Professional: AI Engineer-> Machine Learning Engineer -> Business Intelligence Developer -> AI Research Scientists

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
NOS 1: Programming with Python NIE/ITS/N1001 Mandatory 60 2 3
NOS 2 : Conceptualising Data Science with Python NIE/ITS/N1002 Mandatory 60 2 3
NOS 3: Data analysis and Visualization NIE/ITS/N1003 Mandatory 90 3 3
NOS 4: Fundamentals of Machine Learning NIE/ITS/N1004 Mandatory 30 1 3
NOS 5: Employability Skills DGT/VSQ/N0101 Mandatory 30 1 3
OJT/Project N/A Mandatory 30 1 3