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Certified Artificial Intelligence (AI) Associate "Upskilling"

NQR Code:2022/ITES/NIELIT/05574

  • Old Code: 2022/ITES/NIELIT/05574

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About this Qualification

Job Description

AI Engineer: Must have to work with deep learning libraries such as TensorFlow and Machine Learning library such as Scikit-Learn. Required to have programming skills in Python. Should be able to work on Image Processing and Computer Vision. AI / ML Associate: Creating programmes and algorithms that enable machines to take actions without being directed feed data into models defined by data scientists. Data Analyst: Collecting and interpreting data, analysing results, Reporting the results back to the relevant members of the business, identifying patterns and trends in data sets, working alongside teams within the business or the management team to establish business needs, defining new data collection and analysis processes.

Progression Pathway

  • Professional: AI / ML Associate / Engineer --> Senior AI / ML / Engineer --> Team Lead (AI) Data Analyst --> Senior Data Analyst --> Principal Data Analyst Academic: Skills gain through program will help the students pursuing higher studies in carrying out their research
  • application development and projects activity more appropriately by applying the data analytic and predictive modelling technique skills.

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Python Programming N.A. Mandatory 40 N.A. 5
Statistical Concepts N.A. Mandatory 20 N.A. 5
Data Science and Analytics N.A. Mandatory 20 N.A. 5
Machine Learning N.A. Mandatory 80 N.A. 5
Deep Learning N.A. Mandatory 80 N.A. 5