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Foundation course in Machine Learning using Python

NQR Code:2022/EHW/NIELIT/05323

  • Old Code: 2022/EHW/NIELIT/05323

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About this Qualification

Job Description

• Machine Learning Engineer: Machine Learning engineers are responsible for developing, programming and training the complex networks of algorithms that make up machine learning so that they can function like a human brain. This role requires combined expertise in software development, programming, data science and data engineering • Data Engineer: Machine Learning Engineers build, test, and deploy models, as well as maintain the underlying AI infrastructure. They are problem-solvers who can navigate between traditional software development and machine learning implementations. • Machine Learning Model Developer: Designing and developing machine learning and deep learning systems, Running machine learning tests and experiments

Progression Pathway

  • Professional Application Developer (Machine Learning). Senior Application Developer (Machine Learning). Tech Lead Application Developer (Machine Learning) Academic i)Horizontal: Courses in the area of Python Programing
  • Mathematics ii)Vertical: Post Graduate diploma in Data Science
  • Courses in Artificial Intelligence and Deep learning

Learning Module In Job Role/Qualifcation

National Occupation Standards (NOS)/Module NOS Code Mandatory/ Optional Estimated size (Hours) Nos Credit Level
Basic N.A. Mandatory 2 N.A. 4
Python Eco System N.A. Mandatory 2 N.A. 4
Methods for Machine Learning N.A. Mandatory 4 N.A. 4
Data Loading for ML Projects N.A. Mandatory 5 N.A. 4
Understanding Data with Statistics N.A. Mandatory 8 N.A. 4
Understanding Data with Visualization N.A. Mandatory 10 N.A. 4
Preparing Data N.A. Mandatory 8 N.A. 4
Data Feature Selection N.A. Mandatory 10 N.A. 4
Machine Learning Algorithms N.A. Mandatory 18 N.A. 4
Machine Learning with Pipelines N.A. Mandatory 7 N.A. 4
Improving Performance of ML Models N.A. Mandatory 8 N.A. 4
Mini Project N.A. Mandatory 8 N.A. 4