Theme: From Manual to Intelligent — Fundamentals of Automation

• What is Business Process Automation (BPA)?

• Differences: BPA vs RPA vs IPA (Intelligent Process Automation)

• Role of AI in modern enterprise workflows

• Introduction to tools: Python, OCR (Tesseract), APIs, Google Sheets

• Set up Python & Jupyter Notebook for automation tasks

• Simple automation: Extracting text from PDF using Tesseract OCR

• Automating email-to-Google Sheet data entry using Python

• Using OpenAI or Hugging Face APIs to extract structured information from raw text

🎯 Outcome: Participants will create a basic automation pipeline involving document processing and data logging.

Theme: Adding Intelligence to Automation — Forecasting & Classification

• Introduction to machine learning for business processes

• Predictive analytics in decision-making workflows

• ML tools: scikit-learn, pandas, matplotlib

• Light-touch intro to process mining and its applications

• Train a simple ML model to predict task duration or order fulfillment time

• Use decision trees to classify entries (e.g., approve vs reject)

• Visualize model performance using basic plots

• Trigger a follow-up action (email or notification) based on model output

🎯 Outcome: Participants will integrate ML models into real-world workflows for smarter decision automation.

Theme: End-to-End Automation Using AI Agents

• What are AI agents? Understanding their role in business workflows

• NLP basics for extracting intent and meaning from text

• Overview of n8n, Zapier, and OpenAI for no-code/low-code integration

• Build a simple chatbot or prompt-based assistant using OpenAI

• Extract and summarize content from email/text using AI

• Use n8n or Zapier to create an automation chain:

  • e.g., Email → Extract info → Store in Google Sheet → Send Slack notification

🎯 Outcome: Participants will complete a guided end-to-end intelligent automation workflow.