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Foundation course in Artificial Intelligence Applications

NQR Code:2022/EHW/NIELIT/05324

  • Old Code: 2022/EHW/NIELIT/05324

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About this Qualification

Job Description

• AI Engineer: Artificial intelligence engineers are responsible for developing, programming and training the complex networks of algorithms that make up AI so that they can function like a human brain. This role requires combined expertise in software development, programming, data science and data engineering • AI Specialist: One role for an AI specialist is to program computers to test hypotheses in relation to how the human mind works, through cognitive simulation • Software Engineer: AI Engineers build, test, and deploy AI models, as well as maintain the underlying AI infrastructure. They are problem-solvers who can navigate between traditional software development and machine learning implementations.

Progression Pathway

  • Professional: AI Application Developer (AI)-> Senior AI Application Developer (AI)-> Tech Lead AI Application Developer (AI). Academic: i) Horizontal: Courses in the area of machine learning
  • python programming
  • data science ii)Vertical: Post graduate diploma in Data Science
  • M. Tech in Data Science

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Primer Concepts N.A. Mandatory 2 N.A. 4
Getting Started N.A. Mandatory 3 N.A. 4
Natural language Processing N.A. Mandatory 5 N.A. 4
NLTK Package N.A. Mandatory 7 N.A. 4
Time Series Data N.A. Mandatory 6 N.A. 4
Speech Recognition N.A. Mandatory 5 N.A. 4
Heuristic Search N.A. Mandatory 5 N.A. 4
Gaming N.A. Mandatory 6 N.A. 4
Reinforcement learning N.A. Mandatory 10 N.A. 4
Genetic Algorithms N.A. Mandatory 5 N.A. 4
Computer Vision N.A. Mandatory 12 N.A. 4
Deep Learning N.A. Mandatory 24 N.A. 4