Course Information

  • 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.

Skills Framework

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

Learning Outcomes

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

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.

WSQ - Agentic AI Applications with Claude Code

Course Code: TGS-2025052468
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

What's This Course About

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.

WSQ Funding

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. 

Course FeeBefore Funding

$500.00 (GST-exclusive)
$545.00 (GST-inclusive)

Course Date

* Required Fields

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: 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

Assessment

  • 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:

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

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

Job Roles

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)

Review

Customer Reviews (90)

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
Good learning course and learn alot on AI & Tik Tok (Posted on 5/29/2026)
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
N/A (Posted on 5/29/2026)
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
Good (Posted on 5/29/2026)
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
Nil (Posted on 5/29/2026)
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
N/A (Posted on 5/29/2026)

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