Course Detail
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
- 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)
Registration Fee
A Registration Fee of $10.90 (Incl. of 9% GST) will be collected upon course registration, and It is non-refundable.
* In the event of any class cancellation by Eduquest, the Registration fee will be refunded
Miscellaneous Fees (Incl. of 9% GST)
Admin Fee for Absent and Reschedule: $32.70
Admin Fee for Make-up Session for Partial Absent, Appeal & Re-assessment: $54.50
Miscellaneous Fees refer to any non-compulsory fees which the trainees pay only when applicable. Such fees are normally collected by Eduquest when the need arises.
Fees indicated are per pax and not per proforma invoice or invoice.
Schedule
This Course Includes:
Duration: (3 Hrs)
Language: English
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