Course Information

  • Sessions 2 days
  • Duration 16 hrs
  • Level Beginner
  • Assessment 2 hrs

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Skills Framework

TSC Title
: Cloud Computing
TSC Code
ICT-DIT-3020-1.1

Funding Validity

Funding for this course is valid from 1 Jul 2025 to 30 Jun 2027. Register and complete the course within this period to qualify for funding support.

Learning Outcomes

By end of the course, learners should be able to:

  • LO1: Set up cloud environments aligned with user needs using relevant integration techniques and testing methods.
  • LO2: Run installation and database tests to identify and troubleshoot potential cloud deployment issues.
  • LO3: Resolve implementation problems using diagnostic tools while adhering to security and quality standards.

Course Brochure

Certification

  • Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.
  • OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

WSQ - AI for Cloud Computing

Course Code: TGS-2025056362
  • WSQ
  • SFC
  • PSEA
  • SFEC
  • Absentee Payroll
  • MCES
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What's This Course About

AI for Cloud Computing equips participants with the practical skills to plan, implement, monitor, and maintain cloud environments using artificial intelligence. Learners will explore cloud service and deployment models, virtualization, networking, storage, databases, application deployment, security, governance, and cost management.

Through hands-on activities, participants will use AI tools to interpret business and technical requirements, recommend suitable cloud architectures, generate configuration guidance, automate routine tasks, and produce technical documentation. They will learn to set up cloud environments, deploy applications, configure storage and databases, integrate services, and apply access controls aligned with organizational requirements.

The course also covers AI-assisted cloud operations. Participants will use AI to analyze logs and performance metrics, troubleshoot deployment and connectivity issues, identify security or configuration risks, and recommend remediation actions. Emphasis is placed on validating AI-generated recommendations, protecting sensitive information, maintaining human oversight, and balancing performance, scalability, security, reliability, and cost.

By the end of the course, learners will be able to combine foundational cloud knowledge with AI-assisted workflows to develop, test, optimize, and manage secure and reliable cloud solutions. The course is suitable for learners with basic IT knowledge who want to build practical capabilities in modern cloud computing.

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

WSQ Funding

Full Fee $900.00 Before GST
GST $81.00 9% of fee
Baseline Nett $531.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $351.00 SG age 40+ · 70% funded
SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.

View on SkillsFuture for Business

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used.

Direct Application on SkillsFuture Portal

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

  • Scroll down to “Keyword Tags” to verify for PSEA eligibility.
  • If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form, then submit the completed form to us:

PSEA Withdrawal FormSubmit PSEA Form

Course FeeBefore Funding

$900.00 (GST-exclusive)
$981.00 (GST-inclusive)

Course Date

Course Time

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Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Cancellation & Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Course Details

What You'll Learn

Topic 1: AI-Assisted Cloud Environment Setup and Service Integration

Topic 2: AI-Powered Cloud Deployment, Installation and Database Testing

Topic 3: AI-Assisted Cloud Troubleshooting, Security and Quality Management

Assessment

  • Written Exam
  • Practical Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Cloud Solutions Architect
  • Cloud Systems Engineer
  • Cloud Infrastructure Specialist
  • IT Cloud Support Engineer
  • Cloud Project Manager
  • Cloud DevOps Engineer
  • Cloud Governance Analyst
  • Infrastructure and Operations Analyst
  • IT Systems Integrator
  • Cloud Deployment Consultant
  • Cloud Application Developer
  • Virtualization Engineer
  • Database Administrator (Cloud)
  • IT Compliance Officer
  • Disaster Recovery Specialist
  • Technical Support Engineer (Cloud)
  • Platform Engineer
  • Network & Cloud Security Analyst
  • Systems Administrator
  • Cloud Automation Specialist

Trainers

Trainers

Amin Mahetar is a cloud and DevOps engineer with over 15 years of experience in IT infrastructure, automation, and cloud solutions across AWS and Microsoft Azure environments. A Microsoft Certified Trainer (MCT) and Azure Administrator Associate, he has implemented and managed enterprise-scale cloud deployments across industries including finance, logistics, and manufacturing. His areas of expertise include virtualization, networking, identity management, and automation using PowerShell and Azure CLI. Known for his structured and hands-on training style, Amin has guided numerous professionals in achieving their Azure certifications and advancing their cloud careers.

Mohan Pothula is an accomplished IT consultant and trainer specializing in network engineering, cybersecurity, and cloud systems. With years of experience in designing and managing secure enterprise infrastructure, he has supported numerous organizations in optimizing their IT operations and enhancing network resilience. Mohan’s technical expertise spans system administration, virtualization, and network automation—equipping learners with the skills to build and maintain robust, high-performing networks.
As an educator, Mohan brings clarity and structure to his training delivery, ensuring participants grasp both theoretical and applied aspects of modern networking. His commitment to industry-aligned instruction and practical demonstrations ensures learners gain not only certification-ready skills but also the competence to excel in real-world IT environments.

Nicholas Lu is a dedicated IT infrastructure and systems professional with rich experience in Linux administration, automation, and containerization technologies. His expertise covers DevOps tools, Kubernetes orchestration, and infrastructure-as-code practices, providing learners with a strong technical foundation in modern cloud-native development. Nicholas’s background in system deployment and automation allows him to deliver comprehensive insights into managing distributed systems effectively.
In the classroom, Nicholas adopts a structured, example-driven teaching approach to help learners master complex cloud and DevOps concepts. His ability to translate technical depth into accessible, actionable learning outcomes enables participants to confidently navigate infrastructure automation and container-based deployment workflows in enterprise environments.

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.
Agus Salim is an experienced IT solutions and cybersecurity professional with a strong foundation in cloud infrastructure and project management. With over a decade of experience in systems integration, software development, and IT security across both enterprise and consulting environments, he brings a practical understanding of secure system design and deployment. His credentials include PMP, CompTIA Security+, CEH, and AWS Certified Cloud Practitioner, reflecting his balanced expertise in governance, risk management, and cloud operations. Agus has worked with leading organizations such as Citi and Check Point Software Technologies, providing hands-on technical and security support across multi-cloud platforms.

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