Course Image

Duration: (3 Hrs)

Language: English

Course Fee: $16.35 (Incl. of 9% GST)

Course Schedule

Foundations of Machine Learning Operations


Course Overview

The course will provide an end-to-end view of the problem of machine learning operations (MLOps) in simple, non-technical language. Learners will discover the ‘what,’ ‘why,’ and ‘who’ aspects of MLOps, i.e., the process, its impact, the involved roles, and their responsibilities.

Mode of Delivery

Self-paced course (Online Learning)

Course Description

The course will provide an end-to-end view of the problem of machine learning operations (MLOps) in simple, non-technical language. Learners will discover the ‘what,’ ‘why,’ and ‘who’ aspects of MLOps.
 
Key Areas Covered in this Course :
  • Overview of MLOps Processes and Workflows
  • Roles and Responsibilities in MLOps Teams
  • Importance and Impact of MLOps in Decision-Making
  • Guiding Clients to Build Efficient Machine Learning Systems

Learning Outcomes

The course aims to provide learners with relevant knowledge and skills to guide clients in building machine-learning systems. As a result of the guidance, the clients should be able to automatically make critical decisions using machine learning. 

Who Should Attend

  • Machine Learning Engineers, Data Scientists, and Data Architects looking to understand the foundations of MLOps.
  • Delivery Managers, Account Managers, Engagement Managers, and Consultants interested in guiding clients through MLOps implementation.
  • Business Analysts aiming to understand MLOps processes and workflows at a high level.

Duration

(3 Hrs)

Course Fee

$16.35 (Incl. of 9% GST)

Miscellaneous Fees (Incl. of 9% GST)

Miscellaneous Fees refer to any non-compulsory fees which the trainees pay only when applicable. Such fees are normally collected by DEMO Company when the need arises.

Fees indicated are per pax and not per proforma invoice or invoice.

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