Free Lesson

Build Data Pipelines with Claude Code

Hosted by Mahesh Yadav

Fri, Jul 10, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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Agentic AI Product Management Certification using Claude Code
Mahesh Yadav
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What you'll learn

Spec a Data Pipeline from Ingestion to Dashboard

Write an implementation spec that defines your data flow end to end so Claude Code builds each stage with precision.

Automate Data Cleaning and Transformation Steps

Use Claude Code to generate reliable ETL scripts that handle messy real-world data without manual patching.

Generate Analytics Dashboards from Raw Datasets

Go from CSV or API data to a working visualization layer using spec-driven prompts and structured output.

Build a Portfolio-Ready Data Project in Days

Walk away with a complete data pipeline project you can demo in interviews and link from your resume.

Why this topic matters

Companies don't need more analysts who use dashboarding tools. They need builders who can architect a data pipeline from scratch. Claude Code lets you do in days what used to take a data engineering team weeks: ingestion, transformation, and visualization in one workflow. This session shows you how to spec and ship a complete data stack, the fastest proof point for any analytics or data PM role.

You'll learn from

Mahesh Yadav

Ex AI Product Lead -Google l Meta l Microsoft l AWS | 10k+ Alums l Founder - Agentic AI Institute

Mahesh Yadav brings 20+ years of experience building AI products at Google, Meta, AWS, Microsoft. He holds 12 patents in AI training, power management and computer vision. He has launched major agentic-AI initiatives (for example launching an agent for AWS Bedrock, featured in CEO keynote) and trained thousands of professionals to succeed in AI roles. With this programme you get rare access to CEO-level of mentorship.
Substack AI PM Newsletter l Linkedin Community of AI PMs l YouTube For Free Sessions Recordings
Currently, he is building back-office AI agents for the enterprise, starting with in-house legal teams through LegalGraph.AI. His work bridges education and real-world AI deployment, helping organizations adopt agentic systems that automate complex knowledge work.

Previously at

Google
Microsoft
Meta
Amazon Web Services
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