AI for data engineering with Dhoolappa B Shivanigi

Want to understand how AI is changing Data Engineering and what you actually need to learn to stay relevant?

This 1:1 guidance session is designed for Data Engineers who want to understand the AI/GenAI skills, concepts, and tools relevant to their career without getting overwhelmed by everything happening in the AI space.

We can discuss:

• AI/GenAI concepts that are relevant to Data Engineers

• Prerequisites you should know before learning GenAI

• Python, APIs, ML and other foundational concepts

• LLMs, embeddings, vector databases and RAG

• How GenAI can be used in Data Engineering workflows

• AI-assisted SQL, Python, PySpark and pipeline development

• Data Engineering use cases for LLMs and Agentic AI

• Tools and technologies worth exploring

• How to create a practical AI learning roadmap based on your current experience

• How to transition from traditional Data Engineering toward AI-enabled Data Engineering

This is not a deep technical course or a coding bootcamp. The goal is to help you understand what to learn, why it matters, what prerequisites you need, and how AI can fit into your existing Data Engineering career.

Whether you're a beginner exploring AI or an experienced Data Engineer looking to add AI skills to your toolkit, we can create a practical learning path based on your current level and goals.