Mastering AI Agentic RAG and Workflows with No Code
About This Course
This WSQ Mastering AI Agentic RAG and Workflows with No Code course empowers professionals to build and optimize AI-powered applications without coding expertise. This course explores the fundamentals of AI agentic workflows, retrieval-augmented generation (RAG), and chatbot development using leading no-code platforms such as n8n, Langflow, Agentx, and Microsoft Copilot Studio. Participants will analyze LLM applications, understand their impact on chatbot efficiency, and implement AI automation strategies tailored for various industries.
Through hands-on projects, learners will create AI agents, develop RAG-powered applications, and integrate digital human avatars for interactive user experiences. The course covers essential topics such as agentic AI reasoning frameworks, AI-powered search, and deep research capabilities. By the end of the training, participants will be equipped with the skills to enhance AI-driven workflows, improve chatbot efficiency, and deploy AI automation solutions in real-world business scenarios.
What You'll Learn
LO1: Analyze LLM applications across a range of industries to identify their capabilities and limitations.
LO2: Establish the relationship between LLM design and Chatbot efficiency
LO3: Evaluate and improve RAG application effectiveness in product.
Topics Covered:
Topic 1: Overview of AI Agents and Agentic AI Workflows
What is AI Agent and Agentic AI?
Agentic AI vs Generative AI
LLM Reasoning Frameworks
Use Cases of Agentic AI Workflows - APA and Computer Use
Introduction to Agentic AI platforms - n8n & Langflow
Create an AI Agent on Agentic AI Platforms
Topic 2: Build Agentic AI Chatbots on No-Code Platforms
Introduction to AI Chatbot Platforms - Agentx, Promptly & Flowise
Create a Agentic AI Chatbot on AI Chatbot Platforms
Introduction to Digital Human Avatar powered by HeyGen
Create a Digital Human Avatar Chatbot with No Code
Topic 3: Build Retrieval Augmented Generation (RAG) Applications on No-Code Platforms
Overview of Retrieval Augmented Generation (RAG)
Create Agentic RAG on No-Code Platforms
Introduction to Agentic Search and Deep Research
Create AI Agents and RAG on Microsoft Copilot Studio
Entry Requirements
Knowledge and Skills
• Able to operate 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.
Target Age Group: 21 to 65 years old