Home
WSQ - Agentic AI Applications with Claude Code

Sessions 1 day
Duration 8 hrs
Level Beginner
Assessment 1 hr

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.

TSC Title: Artificial Intelligence Application
TSC Code: EGS-TEM-3026-1.1

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

LO1: Implement AI applications using AWS Bedrock and Foundation Models
LO2: Deploy AI workflows leveraging LangChain and machine learning techniques.
LO3: Identify and report issues in Retrieval-Augmented Generation (RAG) and AI Agents applications.

Download Course Brochure

Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.
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 - Agentic AI Applications with Claude Code

Course Code: TGS-2025052468

WSQ
SkillsFuture Credit
PSEA
UTAP
SFEC
Absentee Payroll
MCES

139 Review(s) | Add Your Review

In today’s rapidly advancing AI landscape, the ability to build agentic AI applications is becoming a critical capability for developing intelligent, autonomous, and context-aware systems. This course, Building Agentic AI Applications with Claude Code, equips learners with the technical skills to design, develop, and deploy AI-powered applications using modern large language models and agent-based architectures.

Learners will be introduced to Claude Code as a development approach for creating AI-driven solutions through structured prompting, code generation, and iterative workflows. The course covers the fundamentals of agentic AI, including how to design systems where AI agents can reason, plan, and execute tasks across multi-step workflows.

Participants will gain hands-on experience in building AI pipelines using frameworks such as LangChain, and implementing Retrieval-Augmented Generation (RAG) to enable applications to access and utilize external knowledge sources effectively. The course also explores how to develop AI agents and multi-agent systems that can interact with tools, APIs, and knowledge bases to deliver dynamic and context-aware responses.

In addition to development, the course emphasizes practical considerations such as debugging, optimization, and reliability of RAG and agent-based systems, enabling learners to identify and resolve common challenges in real-world implementations.

By the end of the course, learners will be able to design and build scalable, intelligent, and autonomous AI applications, leveraging Claude Code methodologies and agentic AI patterns to create impactful solutions across various domains.

This course is suitable for developers, AI practitioners, and technology professionals seeking to develop hands-on expertise in agentic AI, RAG systems, and modern AI application development.

Full Fee $500.00 Before GST

GST $45.00 9% of fee

Baseline Nett $295.00 SG/PR age 21+ · 50% funded

MCES / SME Nett $195.00 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.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-2025052468)

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.

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

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.

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

Topic 1: Claude Code Fundamentals

Vibe Coding with Claude Code

Initialise Claude Code

Operation Modes

Context Engineering

Topic 2: Tools and Commands

Memory Management

Tools & MCP

Slash Commands

Topic 3: RAG, SKills and Agents

Skills

Sub Agents

Claude Github Actions

Final Assessment

Written Assessment (SAQ)

Practical Performance

Written Exam
Practical Exam

Course Info

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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.
Minimum 18 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Magneto

Hardware: Windows and Mac Laptops

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Job Roles

AI Developer
Machine Learning Engineer
Generative AI Specialist
Cloud Engineer
Data Scientist
AI Solution Architect
AI Workflow Developer
RAG Application Specialist
AI Model Trainer
LangChain Developer
Software Engineer (AI Systems)
AI Project Manager
Knowledge Base Engineer
Foundation Model Specialist
AI Governance Consultant
AI Systems Tester
AI Integration Specialist
Cloud AI Engineer
Automation Engineer
Technical Consultant (AI Solutions)

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 Enterprise Architect and Data Engineering Leader with over two decades of experience designing large-scale, cloud-native solutions for financial, media, and telecommunications organizations. He has served in senior technology roles at DBS Bank, SPH Media, and Mediacorp, where he architected and implemented AI and data-driven platforms on AWS and Azure. His expertise includes AI/ML pipeline design, Kubernetes orchestration, and data architecture optimization, supported by certifications in AWS Solutions Architecture, Kubernetes Administration, and Cloud DevOps. Mohan is known for translating complex technical systems into scalable, efficient, and business-aligned architectures.
In this course, Mohan helps learners understand how to integrate generative AI capabilities into cloud-based applications using AWS Bedrock and associated services. His sessions emphasize real-world use cases, including data engineering pipelines, API-driven agent workflows, and multi-model orchestration. Participants gain hands-on experience in building, fine-tuning, and deploying intelligent agentic systems that leverage the full potential of AWS’s generative AI ecosystem.

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.

Truman Ng is a senior IT and AI specialist with more than 20 years of experience in cloud computing, machine learning, and intelligent automation. He holds certifications including PMP®, Huawei HCIE®, Cisco CCNP®, and AWS Certified Solutions Architect. Truman has led projects involving AI-enabled automation, DevOps integration, and multi-cloud deployment across sectors such as manufacturing, logistics, and enterprise technology. As an ACTA-certified adult educator, he has conducted professional training in AI, data analytics, and robotics, known for blending technical rigor with hands-on, real-world application.
In this course, Truman helps learners build intelligent AI agents powered by AWS Bedrock and related services such as Lambda, SageMaker, and API Gateway. His sessions focus on model deployment, workflow automation, and integration of generative AI into cloud-native systems. Through his structured and applied teaching approach, participants learn to design and implement agentic AI solutions that enhance efficiency, scalability, and innovation in enterprise environments.

Profile coming soon.

Review

Customer Reviews (139)

Average Rating: 3.7 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Installation of software and hardware requirements should be sent first. (Posted on 5/30/2026)

Average Rating: 5.0 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Very fruitful learning and knowledgeable trainer! Can’t wait to try out what I have learnt on my personal and professional life (Posted on 5/30/2026)

Average Rating: 3.3 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Center shld provide pre-requisite for sw needed to b install instead of doing it in the class (Posted on 5/30/2026)

Average Rating: 4.0 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

N/A (Posted on 5/30/2026)

Average Rating: 3.3 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

It is not very well-organised for learners that has no background in website creation or systems in general - technical terms are glossed over, no recap on concepts, such that learners can tie back to best practices and follow sequentially,. But it drives important messages to allow learners to self-explore and the power + future of techology etc. (Posted on 5/30/2026)