Machine Learning on Public Cloud
Training Provider: NTUC LEARNINGHUB PTE. LTD.
Course Reference: TGS-2026062451
S$1,750
Original: S$3,500
Save S$1,750
About This Course
This advanced 5-day course enables learners to operationalize machine learning workflows using public cloud platforms. Learners will configure cloud environments, scale training jobs, deploy APIs, and monitor model performance using managed services. Emphasis is placed on automation, observability, and reproducibility of ML pipelines. Through hands-on labs, participants will build secure, modular, and production-ready ML workflows with end-to-end monitoring and retraining triggers.
What You'll Learn
"What You’ll Learn
LO1: Configure secure and standardized cloud environments using database administration tools to meet specific user requirements and compliance standards.
LO2: Utilize cloud diagnostic tools to identify performance issues and formulate effective technical solutions.
LO3: Execute diverse cloud installation tests and resolve integration issues to validate system performance against established effectiveness metrics.
LO4: Apply technical resolution techniques to minimize cloud integration issues, escalating unresolved critical defects according to established protocols.
LO1: Configure secure and standardized cloud environments using database administration tools to meet specific user requirements and compliance standards.
LO2: Utilize cloud diagnostic tools to identify performance issues and formulate effective technical solutions.
LO3: Execute diverse cloud installation tests and resolve integration issues to validate system performance against established effectiveness metrics.
LO4: Apply technical resolution techniques to minimize cloud integration issues, escalating unresolved critical defects according to established protocols.
Entry Requirements
The candidate should hold a diploma and have at least 2 years of experience working as a developer/programmer.
Candidates who do not meet the above requirements will be assessed on case to case basis.
Course Details
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