Multimatics

Campus Affiliate | Syllabus

Certificate in Machine Learning Associate (CMLA)

Certificate in Machine Learning Associate is an international certification offered to professionals engaged in Machine Learning. Sponsored by Logical Operations, a globally recognized certification and training provider based in the US, Certificate in Machine Learning Associate addresses the dynamic requirements of the machine learning field. The Certificate in Machine Learning Associate designation certifies professionals who have effectively demonstrated their expertise in machine learning concepts, algorithms, and applications. 

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Program Details

Durations

This program consists of 3 days of intensive training sessions (24 hours total). 

Method of Delivery

The program provided by Multimatics will be delivered through interactive presentation by professional instructor(s), group debriefs, individual and team exercises, behavior modelling and roleplays, one-to-one and group discussion, case studies, and projects.

Who Should Attend?

Beginners, students, fresh graduates, lecturers, and professionals interested in machine learning. 

Program Objectives

By the end of the program, participants will be able to: 

  • Grasp fundamental concepts and principles of machine learning. 
  • Identify and apply different machine learning models such as supervised, unsupervised, and reinforcement learning. 
  • Select and use the appropriate machine learning algorithms based on data characteristics and business requirements. 
  • Develop skills in data preprocessing, model building, evaluation, and deployment. 

Examination Details

Participants will undergo a 90-minute online or paper-based exam at the end of the program. Upon completing the program and passing the exam with a minimum score of 70%, participants will receive certification from Logical Operations. 

Program Modules

Introduction to Machine Learning

Topic Covered

  • Definitions and core concepts of machine learning
  • Evolution and impact of machine learning
  • Key applications and case studies
  • Overview of common machine learning tools and platforms
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