The AI-Powered Super IC

From Raw Data to Automated Insights with AI Agents

Hosted by Manisha Arora and Siddarth R

Fri, May 23, 2025

5:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

308 students

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AI-ML Projects for Data Professionals
Manisha Arora and Siddarth Ranganathan
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What you'll learn

Build an AI Agent for Data Insights using Grok and LangChain

Learn how to leverage Grok LLM and LangChain to build an AI agent that automates insight generation.

Deploy Workflows with Streamlit

How to create an interactive Streamlit app that allows seamless user interaction with AI agent.

Scale Feature Engineering with AI

Understand how AI-driven feature engineering can improve efficiency in real-world ML projects.

Why this topic matters

Feature engineering is often the most time-consuming part of the ML pipeline, requiring domain expertise and manual iteration. AI-powered automation has the potential to significantly accelerate this process. We will learn how to build AI agents using Grok and LangChain that assist in deriving insights from raw data, empowering data science teams to focus on problem-solving instead of data prep.

You'll learn from

Manisha Arora

Data Science Lead, Google & Founder, PrepVector

I am a seasoned Data Science professional with 10+ years of experience leading data science teams and driving business growth through data-driven decision making. I am passionate about democratizing data science and enabling others level up in their careers. I found PrepVector to enable aspiring professionals to excel in their data science careers.

Siddarth R

Director of Data Science, Microsoft & Mentor, PrepVector

I am the Director of Data Science at Microsoft. I have 20 years industry experience across Data & Product. In my current role, I am responsible for driving the growth of Azure through AI and measurement. I love to empower others through knowledge sharing and community building. I mentor data professionals to get to the next step in their careers.

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