Low Code Agentic AI with n8n
About This Course
This course dives into the This course offers a comprehensive introduction to Low-Code Agentic AI using n8n, an open-source automation tool that enables users to create intelligent workflows without extensive coding knowledge. Learners will explore how to use n8n to automate complex tasks, integrate AI agents into business processes, and create powerful workflows that enhance productivity and decision-making. Through hands-on exercises, participants will master the essential features of n8n, including connecting multiple platforms, building AI-driven automations, and optimizing operations. The course will also cover best practices for scaling AI workflows and deploying them effectively across various industries.
Low-Code AI with n8n provides businesses with the flexibility to streamline operations and reduce manual workloads by automating repetitive tasks. This course is highly relevant for professionals aiming to improve operational efficiency, reduce costs, and enhance customer experience through automation. With the increasing demand for AI-enhanced business processes, this skill set is valuable for anyone seeking to advance their career in the field of business automation, AI development, and digital transformation.
This course is designed for intermediate learners who are familiar with basic automation concepts and wish to expand their skills in creating AI-powered workflows using low-code tools like n8n.
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.
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 with n8n
T1: Introduction to Agentic AI frameworks
T2: Overview of multi-agent n8n workflows
T3: Agentic AI workflow design
T4: Build Agentic AI Applications with Agentic AI frameworks
T5: Development with n8n 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.
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