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WSQ - AWS Certified Developer Associate Training

WSQ - AWS Certified Developer Associate Training

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Develop your expertise in AWS development with the WSQ AWS Certified Developer Associate Training. This course equips participants with the skills to develop code for AWS-hosted applications, integrate AWS Lambda functions, and implement secure authentication and encryption practices. You will also learn to prepare application artifacts for deployment using AWS CI/CD services, test applications in development environments, and automate deployment testing for seamless integration.

Participants will further enhance their troubleshooting and optimisation abilities, including performing root cause analysis, improving application performance with AWS services, and ensuring observability through code instrumentation. By mastering these techniques, participants will be prepared to support, enhance, and scale cloud applications while adhering to AWS best practices for performance and security.

Learning Outcomes

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

LO1: Establish end-to-end processes to implement AWS best practices in application support.
LO2: Develop and implement troubleshooting protocols on AWS using emerging techniques to resolve complex application issues effectively.
LO3: Evaluate application performance for AWS supplications considering technical constraints.
LO4: Direct and collaborate on change requests to ensure effective AWS cloud application enhancements.

Course Brochure

Download WSQ - AWS Certified Developer Associate Training Brochure

Skills Framework

This course follows the guideline of Applications Support and Enhancement ICT-OUS-3001-1.1 under ICT Skills Framework

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
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.
External Certification - The participant will be able to attempt the AWS Certified Machine Learning Engineer Associate exam after attending this course. Upon passing the exam, you will receive the AWS Certified Machine Learning Engineer Associate accreditation.

AWS Skill Builder

We are authorised AWS reseller of AWS Skill Builder. If you would like to subscribe to AWS Skill Builder, please register you interest here.

Certification Exam at Pearson Vue

Once you are prepared for the exam, you can register for the CLF-C02 AWS Certified Cloud Practitioner Exam here. We are Authorised Pearson Vue Testing Center. You can take the certification exam at our test center. Note that the course fee does not include the certification exam fee.

You can purchase the exam voucher (one of the lowest prices in Singapore) at AWS Foundational Certification Exam Voucher

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$1,500.00	$135.00	$885.00	$585.00

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

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. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

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

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2025052675)

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 and email to us.

Course Code: TGS-2025052675

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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
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

Topic 1: Development with AWS Services

Develop code for applications hosted on AWS
Develop code for AWS Lambda.
Use data stores in application development.

Topic 2: Security

Implement authentication and/or authorization for applications and AWS services.
Implement encryption by using AWS services.
Manage sensitive data in application code.

Topic 3: Deployment

Prepare application artifacts to be deployed to AWS
Test applications in development environments
Automate deployment testing.
Deploy code by using AWS CI/CD services.

Topic 4: Troubleshooting and Optimization

Assist in a root cause analysis.
Instrument code for observability.
Optimize applications by using AWS services and features.

Course Info

Promotion Code

Promo or discount cannot be applied to IBF-STS courses

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: 21-65 years old

Minimum Software/Hardware Requirement

Softtware: NIL

Hardware: Windows and Mac Laptop

Job Roles

Back-End Developer
Full Stack Developer
Python Developer
Web Application Developer
REST API Developer
Flask Developer
Software Engineer (with web focus)
System Integration Specialist
Microservices Developer
Data Engineer (web data pipelines)
Front-End Developer (expanding skills to backend)
Web Developer (with Python proficiency)
DevOps Engineer (building or maintaining APIs)
Cloud Solutions Architect (with a focus on web services)
Technical Product Manager (overseeing API development).

Trainers

Amin Mahetar: Amin Mahetar is a seasoned Cloud Security Architect with over 18 years of experience in cloud transformation, security engineering, and digital modernization. He has worked with global organizations such as Cisco, GovTech Singapore, and Deutsche Bank, where he led multi-cloud migration, architecture design, and compliance initiatives across AWS, Azure, and Google Cloud environments. His expertise spans governance, risk management, and compliance (GRC), identity and access management, and cloud infrastructure security. Amin holds multiple advanced certifications, including AWS Certified Developer Associate, AWS Certified Solutions Architect, and CISSP, and is recognized for his leadership in implementing secure, scalable cloud solutions for enterprise clients.

In the AWS Certified Developer – Associate Training course, Amin integrates his deep technical and governance expertise to help learners master cloud-native application development and deployment on AWS. His sessions focus on building resilient architectures, implementing DevSecOps practices, and optimizing code for scalability and performance. Learners benefit from his practical, industry-based approach, gaining the skills to design, develop, and maintain secure, high-performing applications in the AWS ecosystem.

Mohan Pothula Rao: Mohan Pothula Rao is an Enterprise Architect and Data Engineering Leader with more than 20 years of experience designing and delivering secure, cloud-native solutions across financial, media, and telecommunications sectors. He has held senior roles at DBS Bank, SPH Media, and Mediacorp, where he architected large-scale data and application platforms using AWS, Azure, and Kubernetes. His expertise includes microservices development, DevOps automation, and API ecosystem design, supported by a strong foundation in enterprise architecture and regulatory compliance. Mohan is also a certified Kubernetes Administrator and Cloud Solution Architect, combining deep technical skill with strategic business insight.

In this course, Mohan brings his real-world experience in cloud application development and deployment to guide learners through practical implementation of AWS developer tools and services. His sessions emphasize the use of CI/CD pipelines, serverless architectures, and containerized applications to create efficient and maintainable software systems. Learners gain a clear understanding of AWS best practices and the technical confidence to build, test, and optimize production-ready applications in cloud environments.

Quah Chee Yong (QCY): Quah Chee Yong is a WSQ ACLP-certified trainer and data science professional with strong expertise in AI, machine learning, and natural language processing. He has served as Data Science Training Lead for SAP’s SGUnited Mid-Career Pathways Programme and AI Training Lead at Sustainable Living Lab, delivering programs in predictive analytics, NLP, and workforce upskilling. His industry background includes projects in recommender systems, chatbots, and digital assistants.

As a trainer, QCY emphasizes practical application and real-world adoption of AI and ICT skills. His learner-centric approach ensures participants build both confidence and competence, bridging technical skills with workplace needs. He has trained diverse audiences from students to professionals, equipping them with future-ready digital and cybersecurity capabilities.

Agus Salim: Agus Salim is an IT solutions and cybersecurity professional with more than a decade of experience in project management, cyber defense, and IT system integration. His career includes roles such as Cybersecurity Analyst at Citi, Business Analyst at AvePoint, and TAC Engineer at Check Point, where he resolved critical network security issues. He has led ERP, POS, and cloud-based solution projects across industries.

Agus holds global certifications including CompTIA Security+, CEH, ECIH, PMP®, Microsoft Azure Security Engineer, and AWS Cloud Practitioner. As an ACLP-certified trainer, he combines technical depth with strong facilitation skills, delivering Security+ and IT governance programs through hands-on labs and case studies that ensure job-ready outcomes.

Peter Cheong: Peter Cheong is an ICT and infrastructure professional with strong expertise in Linux, networking, and enterprise IT systems. His experience includes deploying and managing CentOS/Red Hat systems, as well as implementing PBX trunking systems across 17 branches in Singapore and Malaysia. His practical knowledge in configuring and maintaining IT infrastructure makes him well-versed in enterprise-level deployments.

As a trainer, Peter specializes in Linux administration, networking fundamentals, and CompTIA certification programs. He emphasizes labs and troubleshooting exercises, ensuring learners are equipped with job-ready skills. His ability to simplify complex technical content makes him effective in preparing participants for certification and workplace IT challenges.