COURSE CODE: TGS-2026062164

About This Course
This course dives into the dynamic world of Low-Code Agentic AI, specifically focusing on Langflow and Flowise. Learners will discover how to utilize these powerful low-code platforms to design and deploy AI-driven agents that automate tasks, enhance decision-making, and optimize customer experiences. Through practical lessons and hands-on projects, participants will gain the skills to create intelligent workflows and integrate them into their business processes with minimal coding effort. The course will explore both the technical and strategic aspects of implementing AI agents, providing a clear roadmap for leveraging these tools in real-world business environments.

Low-Code AI is becoming an essential tool for businesses seeking to harness AI without requiring deep technical expertise. Langflow and Flowise make it easier for professionals across various industries to build intelligent agents that streamline operations, boost productivity, and support customer-centric solutions. This course is particularly beneficial for individuals looking to advance their careers by adding AI automation skills to their toolkit, allowing them to take on roles in digital transformation, AI strategy, and process optimization.

What You’ll Learn

By end of course, learners should be able to:

• LO1 Design multi-agent integration workflows using langflow and flowise for intelligent AI application development. Learners will master the fundamentals of creating complex AI systems that integrate multiple agents working together seamlessly. They will develop expertise in workflow orchestration, understanding how to design systems where different AI agents collaborate to solve complex problems, automate processes, and enhance decision-making capabilities across various business contexts.
• LO2 Develop and deploy Agentic AI and RAG applications on langflow and flowise. Learners will gain advanced skills in implementing Retrieval Augmented Generation systems that combine the power of large language models with external knowledge sources. They will learn to deploy these sophisticated AI applications using cloud platforms and create user-friendly interfaces through Streamlit, while developing critical troubleshooting skills to identify and resolve deployment issues through systematic error analysis.
• LO3 Deploy guardrails to ensure safe and aligned outputs in Agentic AI applications. Learners will develop expertise in implementing comprehensive safety measures for AI systems, ensuring that applications operate within ethical boundaries and produce appropriate, safe outputs. They will master the principles of AI governance, learning to evaluate applications for safety and alignment while implementing practical guardrails that prevent harmful or inappropriate AI behavior in production environments.

Course Information
Skills Framework: Generative AI Application Development and Deployment ICT-INT-0047-1.1 TSC under Skills Framework
Time: 9:30am-6:30pm
Duration: 32hrs (4 days)
Tel: michelle@lauressolutions.com
Email: michelle@lauressolutions.com

FEE & FUNDING
Total Course Fee Per Trainee 2800 (Incl. 9% GST: 3,052)

Course Certificate
Two e-certificates will be awarded to trainees who have passed the assessment.

1. Statement of Achievement
   Generative AI Application Development and Deployment ICT-INT-0047-1.1 TSC under Skills Framework issued by WSG/SSG.
2. Certification of Achievement issued by LAURES SOLUTIONS PTE. LTD..

Course Outline
LU1: Agentic AI App Development with langflow and flowise
T1: Introduction to Agentic AI frameworks
T2: Overview of multi-agent langflow and flowside workflows
T3: Agentic AI workflow design
T4: Build Agentic AI Applications with Agentic AI frameworks
T5: Development with langflow and flowise Ai platforms

LU2: Agentic AI and RAG Deployment on langflow and flowise
T1: Concepts behind context augmentation techniques
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 interfaces

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

Enquiry
Venue: 051531, 531A UPPER CROSS STREET HONG LIM COMPLEX 04 95

Minimum Entry Requirements
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)

Frequently Asked Questionsy
* What are the prerequisites for WSQ Funding?
1. You need to be a Singaporean Citizen or Permanent Resident, physically based in Singapore.
2. You must successfully complete the programme and pass the assessment in order to be eligible.
3. You must attend at least 75% of the training.
* Can I club any other grant with this subsidy?
No, you cannot claim any other grant if you are claiming this subsidy from SSG. You should not be claiming for any other grants, subsidies, or tax concessions, provided unless explicitly permitted.
* Do I need to pay the full fee, and then claim the subsidy from WSQ Funding?
The programme works on a Nett fee model, i.e. you only need to pay the difference between the fee, and the funding amount at the time of enrollment. The training provider (TP) will claim the funding amount from SSG on completion of the programme. In case you fail to complete the programme, or if the claim raised by TP is rejected by SSG then you are liable to pay the funding amount to TP.