AI Automation with n8n and LangChain

• An understanding of basic workflow concepts
• Experience with any task automation tool is a plus
• Curiosity about AI and no-code solutions

Audience

• Developers
• IT professionals
• Business analysts

n8n is an open-source workflow automation tool that enables users to connect anything to everything via its visual node-based interface, making it possible to automate tasks across different apps and services without writing code. LangChain is a framework for building applications with large language models, allowing for the integration of advanced AI capabilities into workflows and applications. Together, they empower users to create powerful, AI-driven automation solutions that can transform business processes and personal productivity.

This instructor-led, live training (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.

By the end of this training, participants will be able to:

• Design and implement complex workflows using n8n's visual programming interface.
• Integrate AI capabilities into workflows using LangChain.
• Build custom chatbots and virtual assistants for various use cases.
• Perform advanced data analysis and processing with AI agents.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Workflow Automation

• Understanding the basics of n8n
• Setting up your n8n environment
• Exploring the n8n user interface and features

Building Your First Workflow

• Creating nodes and connections
• Automating simple tasks
• Debugging and testing workflows

Integrating AI with LangChain

• Introduction to LangChain
• Connecting LangChain with n8n
• Building AI-powered nodes in n8n

Advanced Workflow Automation

• Conditional logic and error handling
• Using webhooks and APIs
• Scheduling and automating recurring tasks

Creating Chatbots and Virtual Assistants

• Designing conversational flows
• Implementing AI responses
• Customizing chatbot behavior for different scenarios

Data Analysis with AI Agents

• Extracting insights from data
• Automating report generation
• Visualizing data within workflows

Project: Traveler Co-Pilot

• Speech-to-speech translation
• Image-to-text conversion
• Implementing real-time translation in workflows

Project: Chat with Docs

• Document integration with Slack
• Real-time collaboration tools
• Automating document retrieval and management

Project: AI-Driven Stock Analysis

• Analyzing SEC 10K reports
• Building an AI analyst team
• Creating visualizations and summaries from financial data

Summary and Next Steps