Pre-requisites
☆ No coding experience required (familiarity with business workflows is helpful).
☆ Basic understanding of how AI tools (like ChatGPT) work.
☆ Laptop with internet connection (accounts on n8n.io and OpenAI will be set up in class).
Upcoming Batches
September 2025
13th &
13
th
13th & 20th
September 2025
Master AI Agents: The No-Code Way with n8n
This 1-day intensive workshop introduces participants to the world of AI Agents through n8n, a powerful automation and workflow orchestration platform. By the end of the day, learners will understand how to design, build, and deploy AI-powered workflows — all without writing complex code. The course blends concepts, live demos, and hands-on labs, ensuring every participant leaves with a working AI Agent workflow they can apply immediately in real-world scenarios.
Course Objectives
By the end of this course, participants will be able to:
☆ Understand what AI Agents are and how they differ from traditional automation.
☆ Explore the capabilities of n8n for AI-driven workflows.
☆ Integrate AI models (OpenAI, Hugging Face, LangChain, etc.) within n8n.
☆ Build and deploy functional AI agent workflows end-to-end.
☆ Apply AI agent workflows to common business problems (e.g., customer support, lead qualification, research automation).
Who Should Attend?
☆ Business professionals who want to leverage AI without coding.
☆ Automation specialists exploring AI-driven workflows.
☆ Entrepreneurs & consultants looking to build AI-powered services.
☆ Anyone curious about applying AI Agents in real-world business contexts.
Upcoming Batches
Jul 2023
0
nd
Aug 2023
0
th
Sep 2023
0
rd
Oct 2023
0
st
Course Duration
Hours
1
Day
1
Have a look
Course Outline
☆ What are AI Agents?
☆ Why AI Agents + Workflow Automation = Game Changer
☆ Overview of n8n platform and key features
☆ Setting up n8n (cloud & local options)
☆ Navigating the workflow editor
☆ Basics of triggers, nodes, and integrations
☆ Connecting n8n to OpenAI / Hugging Face models
☆ Building a simple AI Agent workflow (text summarization, Q&A, or email drafting)
☆ Hands-on lab: “My First AI Workflow”
☆ Multi-step automation with conditionals & loops
☆ Integrating LangChain with n8n
☆ Hands-on lab: Research Assistant Agent (collect, process, summarize data)
☆ AI Agent workflows for sales, marketing, customer service, and operations
☆ Case studies & live demos
☆ Hands-on lab: Build your own workflow (choose a business use case)
☆ Best practices for workflow design & error handling
☆ Security & governance considerations
☆ Sharing & deploying your agent workflow
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