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Essentials of AI for Embedded Application

NQR Code:NG-05-EH-02897-2024-V1-NIELIT

  • Old Code: NG-05-EH-02897-2024-V1-NIELIT

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About this Qualification

Job Description

This NOS provides a comprehensive understanding of Artificial Intelligence (AI) and its applications in embedded systems. It covers a wide range of topics related to implementing AI on embedded devices, including machine learning fundamentals, neural networks, edge AI frameworks, hardware considerations, and optimization techniques for deploying AI models on microcontrollers and embedded platforms.

Eligibility Criteria

Criteria 1 Criteria 2 Experience Training Qualification
UG 2nd year In relevant field No Experience None
2 year Diploma after 12th In relevant field No Experience None
3 year Diploma after 10th In relevant field 1.5 Years None
Previous NSQF qualification of Level 4.5 1.5 Years None
Previous NSQF qualification of Level 4 1.5 Years None

Progression Pathway

  • Embedded Software Engineer

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Essentials of AI for Embedded Application NIE/ELE/N0229 Mandatory 60 2 5