Agentic AI Automation with n8n
About This Course
Master the fundamentals of Agentic AI and Automatic Speech Recognition (ASR) with n8n. This course covers essential ASR functions, business-driven search techniques, and hybrid reasoning systems. Learn to design and implement RAG conversational AI, speech-to-speech translation, and multi-agent AI systems using intelligent automation. Through hands-on exercises, you’ll build ASR applications and customize tools to enhance AI-driven decision-making.
Explore multi-agent systems, deep research techniques, and LLM-based reasoning to create advanced AI automation workflows. Learn how to decompose complex ASR challenges into subproblems, apply cooperative intelligent subsystems, and integrate custom AI tools with n8n. By the end of this course, you will have the expertise to design and develop scalable AI automation solutions for real-world business applications.
What You'll Learn
- Identify required ASR functions based on business needs and design ASR applications accordingly
- Analyse business drivers to design and apply search techniques in ASR for expected outcomes.
- Decompose complex ASR scenarios into subproblems and resolve them using cooperative intelligent subsystems.
- Design cooperative reasoning modules and create hybrid systems in ASR using suitable techniques and programming
- Build hybrid reasoning systems for ASR using appropriate techniques and sub-modules
Course Outline:
Topic 1 Introudction to Agentic AI and ASR
Overview of Agentic AI and Automatic Speech Recogntion (ASR)
Use cases of Agentic AI and ASR applications
Identify business drivers on Agentic AI and ASR
Install n8n locally
Explore the User Interface of n8n
Design a simple conversational AI with n8n
Topic 2 Create a RAG Conversational AI Application
Overview of Retreival Augmented Generation (RAG)
Business drivers for Agentic Search and Deep Research
Analyse and design a RAG conversataional application with n8n
Topic 3: Create a Speech to Speech Application
Decompose a Speech to Speech Translation into subproblems
Create an ASR application with n8n
Topic 4 Multi Agent System
Overview of Multi Agents and LLM Reasoning
Design a Multi Agent AI system with n8n
Topic 5: Create a Multi Agent System with Custom Tools
Adding your own tools to n8n
Build an ASR appplication with custom tools
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• MInimum diploma level
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience