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)
Course Fee
$16.35 (Incl. of 9% GST)
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
Course Fee $16.35 (Incl. of 9% GST)
This Course Includes:
Duration: (3 Hrs)
Language: English
Related Courses
EngX Clean Code Advanced
This course presents a collection of clean design principles and code structure patterns that will help you achieve your goal.
EngX Design Patterns
Unlock the power of design patterns to elevate your software development skills. Learn to identify common design problems and implement proven patterns through real-world scenarios and multi-langua
CloudX: Foundations for Tech
Does it feel like everyone talks about cloud? The Cloud Foundations for Tech course will help you explore cloud services, operate cloud-related terminology, and become confident when working with c
EngX Knowledge Sharing
Learn to structure critical project information, streamline onboarding for new team members, and evaluate the health of knowledge-sharing initiatives to drive team success and efficiency.
EngX Clean Code
Learn to write readable, efficient, and modifiable code. Identify and fix flaws with effective techniques. Master constructive code reviews to improve collaboration and outcomes. Explore how AI too
