Vinod Chugani is an AI and data science educator who bridges the gap between emerging AI technologies and practical application for working professionals. His focus areas include agentic AI, machine learning applications, and automation workflows. Through his work as a technical mentor and instructor, Vinod has supported data professionals through skill development and career transitions. He brings analytical expertise from quantitative finance to his hands-on teaching approach. His content emphasizes actionable strategies and frameworks that professionals can apply immediately.
Learn how to eliminate manual SQL reporting with an n8n workflow that automatically queries your database, formats professional HTML reports, and regularly emails them to stakeholders.
A comprehensive guide to building AI systems that can plan, reason, and act autonomously — from basic tool-using agents to sophisticated multi-agent collaborations.
Learn how to migrate from Pandas to Polars with practical examples, side-by-side code comparisons, and strategies to unlock performance improvements on your existing data workflows.
A practical roadmap for Python programmers to develop the advanced skills, specialized knowledge, and engineering mindset needed to become successful AI engineers in 2025.