Build Agentic Web App with Vibe Coding
About This Course
This WSQ-certified course equips learners with the skills to build agentic web applications using vibe coding, a modern AI-assisted development approach that leverages large language models to accelerate software creation. Participants will learn how to design, develop, and deploy intelligent web applications that incorporate autonomous AI agents capable of reasoning, planning, and executing tasks independently. The course covers core concepts including agentic architecture patterns, prompt engineering for code generation, integrating AI agent frameworks, and building interactive front-end interfaces powered by AI-driven back-end logic.
Through hands-on projects, learners will gain practical experience in creating real-world agentic applications that solve business problems using natural language instructions and AI-powered workflows. The course emphasises best practices for structuring agentic systems, managing API integrations, handling user authentication, and deploying production-ready applications. By the end of the programme, participants will be able to independently build and launch functional agentic web apps that automate complex tasks, enhance user experiences, and deliver measurable business value across various industries.
What You'll Learn
LO1: Design multi-agent integration workflows using langflow and flowise for intelligent AI application development..
LO2: Develop and deploy Agentic AI and RAG applications on langflow and flowise
LO3: Deploy guardrails to ensure safe and aligned outputs in Agentic AI applications.
Course Outline:
LU1: Agentic AI App Development
T1: Introduction to Agentic AI frameworks
T2: Overview of multi-agent workflows
T3: Agentic AI workflow design
T4: Build Agentic AI Applications with Agentic AI frameworks
T5: Development with Agentic Ai platforms
LU2: Agentic AI and RAG Deployment
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.
Entry Requirements
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: 21-65 years old