Cloud and AI Practitioner - Part of Post Diploma Certificate in Cloud Security (SDACL)

Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2026066240
S$404
Original: S$1,348
Save S$944

About This Course

This module introduces the fundamental concepts, architectures, and service models that underpin modern cloud computing and artificial intelligence (AI) platforms. Students will learn how cloud environments are designed and how core services—such as compute, storage, networking, and application platforms—are provisioned to support both traditional and AI-driven solutions. Through guided exercises, students will explore how to plan and implement basic cloud and AI solutions, deploy applications using cloud-native and AI-enabled approaches, and understand key considerations such as data handling, model integration, and the shared responsibility model for security, ethics, and compliance. By the end of the module, students will be able to explain key cloud and AI concepts, evaluate relevant service offerings, and implement foundational resources to support simple enterprise workloads with intelligent capabilities.

What You'll Learn

To introduce students to the building blocks of modern cloud computing and AI platforms, enabling them to design and deploy basic cloud and AI solutions. Students will learn to provision compute, storage, networking, and application services, integrate AI models, apply best practices for security and compliance, and implement foundational resources to support intelligent enterprise workloads.

Entry Requirements

•Local Polytechnic Diploma in any discipline
•Recognised University Degree in any discipline
•At least 1 year of relevant work experience

Applicants with other equivalent qualifications will be considered case-by-case based on relevant work experience.
Other requirements:
•IT literacy, including operating system navigation, digital file management (creating, saving, organizing), and the use of standard productivity software (e.g., Microsoft Office, Google Workspace), is expected of learners.

Course Details

Duration 40 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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