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AI Workflow Automation with Python and n8n

Course Overview

In 2026, manual workflows are a bottleneck. This weekend course teaches you to design, build, and deploy intelligent automation pipelines using Python scripts and the n8n visual workflow engine. You will integrate large language models, connect REST APIs, automate data processing, and schedule smart tasks — all without enterprise-level infrastructure.

Key Points

Design AI-powered automation workflows from scratch

Integrate OpenAI and open-source LLMs into pipelines

Build visual workflows with n8n and Python scripts

Connect REST APIs and automate data extraction

Schedule, monitor, and debug automation pipelines

Deploy workflows to cloud environments

Handle errors, retries, and edge cases in automation

Build a capstone portfolio automation project

Course Outline

Module 1: Automation Fundamentals and AI Basics

  • What is AI automation and where it fits in 2026
  • Python environment setup and automation libraries
  • Introduction to LLMs and prompt engineering
  • Automation use cases and project planning

Module 2: Python Automation Scripts

  • File, email, and data automation with Python
  • Web scraping and API calls using requests and BeautifulSoup
  • Scheduled tasks with cron and APScheduler
  • Error handling and logging best practices

Module 3: n8n Visual Workflow Engine

  • Setting up n8n locally and on cloud
  • Building triggers, nodes, and conditions
  • HTTP request nodes and API integrations
  • Combining Python scripts with n8n workflows

Module 4: LLM Integration in Pipelines

  • OpenAI API and open-source alternatives
  • Prompt chaining and structured outputs
  • RAG basics — retrieval-augmented generation pipelines
  • AI-powered email, report, and content automation

Module 5: Cloud Deployment and Monitoring

  • Deploying n8n on VPS or cloud platforms
  • Environment variables and secrets management
  • Monitoring, alerts, and pipeline health checks
  • Scaling automation workflows

Module 6: Capstone Project and Portfolio

  • End-to-end real-world automation project
  • Code review and optimization session
  • Portfolio documentation and GitHub setup
  • Career paths in AI automation engineering
Ahsan Akhtar
Senior Test Automation Engineer & AI Trainer

This Course Includes

Duration 6-8 weeks (Weekend Classes Only)

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