WSQ , IBF, SkillsFuture, PEI Approved Training Provider

WSQ - No Code and Low Code Agentic AI Applications

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.

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.

Course Brochure

TBD

Skills Framework

  • This course follows the guideline of ICT-INT-0047-1.1: Generative AI Application Development and Deployment 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.

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
$2,000.00 $180.00 $1,180.00 $780.00

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

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 Code: TGS-2026062147

Fee

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

The course fee listed above is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

Course Date

* Required Fields

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

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.

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

  • 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

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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