WSQ - No Code and Low Code Agentic AI Applications

Course Information

  • Sessions 4 days
  • Duration 32 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
: Generative AI Application Development and Deployment
TSC Code
ICT-INT-0047-1.1

Learning Outcomes

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

  • LO1: Design multi-agent integration workflows using CrewAI, Autogen, and ADK for intelligent AI application development.
  • LO2: Develop and deploy Agentic AI and RAG applications on Streamlit and cloud-based platforms.
  • LO3: Deploy guardrails to ensure safe and aligned outputs in Agentic AI applications.
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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.

Additional Information

Duration

2 months (Full Time)

Assessment

3 hours online assessment after each module

Class (No of teacher : student): 1:20

Intake

  • 3 Nov 2025 to 29 Sep 2026
  • 4 May 2026 to 26 June 2026
  • 2 Jan 2026 to 2 Mar 2026
  • 2 Mar 2026 to 27 Apr 2026

Enrolment Requirement

  • Age: 21 years old and above
  • Language Proficiency: At least C6 for GCE "O" Level English
  • Academic: At least C6 for GCE "O" Level in any 3 subjects

Graduation Requirement

  • Attendance: 75%
  • Assessment: Passed

WSQ - No Code and Low Code Agentic AI Applications

Course Code: TGS-2026062147
  • WSQ
  • SkillsFuture Credit
  • PSEA
  • UTAP
  • SFEC
  • Absentee Payroll
  • MCES

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What's This Course About

This WSQ course equips learners with in-demand skills to design and develop advanced Agentic AI applications using industry-leading frameworks like CrewAI, Autogen, and OpenAI ADK. Participants will gain hands-on experience in building multi-agent AI systems and integrating them into intelligent applications. Key development tools such as GitHub Copilot and AI IDEs like Cursor, Trae, or Windsurf are explored to streamline the AI app creation process.

Learners will also master how to deploy Retrieval-Augmented Generation (RAG) and Agentic AI applications using Streamlit and cloud-based platforms. The course emphasizes context augmentation techniques and troubleshooting AI pipelines. Additionally, it covers implementing safety measures such as model alignment and guardrails to ensure responsible AI usage. By course completion, participants will be able to design, deploy, and secure Agentic AI systems for real-world scenarios.

WSQ Funding

Full Fee $2,000.00 Before GST
GST $180.00 9% of fee
Baseline Nett $1,180.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $780.00 SG age 40+ · 70% funded
WSQ Funding
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-2026062147)
  • 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

$2,000.00 (GST-exclusive)
$2,180.00 (GST-inclusive)

Course Date

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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

LU1: Agentic AI App Development with Agentic AI Frameworks

T1:Introduction to Agentic AI frameworks - CrewAI, Augtogen and OpenAI ADK

T2 Overview of multi-agent workflows

T3: Agentic AI workflow design

T4: Build Agentic AI Applications with Agentic AI frameworks

T5: Development with AI IDE - GitHub Copilot, Cursor, Trae or Windsurf

LU2: Agentic AI and RAG Deployment on Streamlit Cloud

T1:Concepts behind context augmentation techniques, such as knowledge graphs

T2: Approaches to deploy models for inference using cloud platforms

T3: Identify issues in Agentic AI pipeline by analysing and interpreting error logs

T4: Deploy RAG an Agentic AI Apps on Streamlit Cloud or Railway

LU3: Model Alignment and Guardrails

T1:Safeguarding Large Language Models (LLMs) with guardrails for content generation

T2:Model alignment for safety and alignment

T3:Deploy guardrails on Agentic AI applications.

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

  • AI Application Developer
  • Machine Learning Engineer
  • AI Solutions Architect
  • Data Scientist
  • AI Product Manager
  • Cloud AI Engineer
  • AI Research Engineer
  • Software Developer (AI)
  • Innovation Technologist
  • R&D Engineer
  • AI Consultant
  • LLM Application Developer
  • Full Stack AI Developer
  • Automation Engineer
  • Technical AI Project Manager
  • AI QA Engineer
  • Data Engineer
  • Intelligent Systems Engineer
  • AI Integration Specialist
  • AI Systems Analyst

Trainers

Trainers

Dr. Alfred Ang: Dr. Alfred Ang is a distinguished expert in AI-driven automation, digital transformation, and curriculum development with more than 20 years of experience in industry and adult education. As the Chief Instructional Designer, Chief Technology Officer, and Chief Information Officer of Tertiary Infotech Pte Ltd, he has led the development of over 500 WSQ- and IBF-accredited courses, ensuring alignment with SkillsFuture and international standards. He holds a PhD from the National University of Singapore and advanced certifications such as PMP®, CSM®, AWS Certified AI Practitioner, Microsoft Power Platform Developer, and SCS Certified Senior AI Ethics Professional. With extensive expertise in agentic AI, workflow automation, and low-code/no-code platforms, Dr. Ang has pioneered the use of AI-powered dashboards, RPA tools, and intelligent assistants to optimize organizational productivity and workforce upskilling. In addition to his leadership roles, Dr. Ang has spearheaded numerous applied projects, including AI-powered curriculum generation systems, multimodal AI platforms, and LLM-driven robotics simulations, integrating both no-code and low-code solutions for real-world deployment. He has also provided workplace learning consultancy, helping companies adopt AI and automation solutions that improve efficiency without requiring advanced programming expertise. A certified ACLP and DACE curriculum developer, Dr. Ang is highly experienced in designing learner-centric training experiences that make cutting-edge AI technologies accessible to non-technical professionals. With his blend of academic depth, hands-on industry projects, and strong pedagogy, he is uniquely positioned to guide participants in leveraging no-code and low-code agentic AI applications to transform business processes and drive innovation.

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