Director of AI Education at A+ Active

Cityblock Health

HashiCorp

The New School

PrismML

Webflow

Jai Bhagat

Single-cell RNA Sequencing

Techniques to use GPU to speed up data loading and preprocessing steps

GPU-Accelerated Data Loading & Preprocessing

Cluster and visualize data

We will explore biological information from the data with differential expressions & trajectory analysis

Explore biological information

Transform from consumer of analytics to independent operator - asking sharp questions, validating answers, shipping decisions.

Principal Data Scientist @ Ontra 

Stripe

Nextdoor

PwC India

Ontra

AppFolio

Shane Butler

Principal Data Scientist @ Ontra | Ex-Stripe, Nextdoor, PwC, Appfolio

Data Science Leader |Ex-Microsoft

Microsoft

eBay

Grammarly

Superhuman

Sravya Madipalli

Data Science Leader@Superhuman (Prev. Grammarly)| Ex-Microsoft, eBay, Nextdoor

Head of Data @ Ontra AI | Ex-LinkedIn

LinkedIn

Pinterest

Hai Guan

Head of Data @ Ontra | Ex-Nextdoor, LinkedIn, Pinterest, Meta

Cohort 3

Cohort 4

As AI reduces the value of deep domain silos, the people who thrive will be the ones who can work across disciplines and ship. Analytical independence - the ability to validate your own ideas and make data-informed decisions - remains the missing skill in most builders' toolkits.AI can conduct the analysis, but it can't tell you what to ask or whether the answer makes sense. That requires analytical judgment.This course teaches you to think like a senior Product Data Scientist. You'll learn the frameworks used at FAANG companies to frame problems, choose the right metrics, diagnose root causes, execute the analysis, and turn insights into decisions.-&gt; <a target="_blank" rel="noopener noreferrer nofollow" href="https://join.slack.com/t/dataneighbor/shared_invite/zt-3ox4drc3r-3g0ptSthytkgv0sD6ovvqg">Join AI Builders Slack Community!!</a> &lt;-What makes this different: No SQL. No stats lectures. Five weeks of hands-on real scenarios. You'll build end-to-end, metric specs, deep dives, experiment plans, stakeholder readouts.The result: You become analytically self-sufficient. The last dependency removed from your toolkit. Make data-informed decisions in hours, not weeks.

Ask Better Questions, Make Faster Decisions - with AI as Your Analyst

Frame Problems Like a Senior Data Scientist

Design Metrics That Actually Drive Decisions

Diagnose Root Causes Without Guessing

Design Experiments That Ship

Turn Analysis Into Action With AI as Your Copilot

Synthesize Insights and Prioritize for Impact

Product Managers, engineers, and operators who need analytical independence and frameworks to measure success and drive decisions.

Designers and researchers stepping into strategy roles who need to quantify impact, run experiments, and influence with data-driven insights

Data professionals who want to frame better questions, delegate technical execution to AI, and drive impact with agentic analytics tools.

This is not a theory session. You will design and prototype real AI-native workflows for investments.    

Digital Business Builder & PE DD Expert

McKinsey & Company

INSEAD

Awa Moamar

Digital Business Builder, Private Markets Strategist & AI Founder

AI/ML Leader, Tech Entrepreneur

Audi

Dassault Systèmes

Fraunhofer-Gesellschaft

University of Cambridge

Muzahid Hussain

Enterprise AI/ML Leader, Serial Entrepreneur & AI Expert

Angel Investor, AI Consultant

Dream VC

Inception AI

Alkan CIT

AbdelRahman Elbadawy

Angel Investor, AI Ecosystem Builder, Emerging Markets Expert

Cohort 1

Build your fund's Investment OS in a single 4-hour live session. Sun Sep 27, 9am–1pm PT

Cohort 2

You arrive with an empty folder. Four hours later you have a screening agent that knows your thesis, a command that drafts cited IC memos in under a minute, and a package your partners can install with one line. Not slides about it. It, on your laptop. Most investors use AI as a faster intern. It summarises. It drafts. Then the tab closes and everything it learned about your last hundred deals evaporates. A system is different: it remembers, it runs without being asked, it reaches into your stack, and it shows its work. That is the gap this workshop closes, in one sitting.<ul><li>AI-first funds screen and evaluate 3–5x more deals</li><li>Associates who structure AI workflows, spend time on judgment, not formatting</li></ul>The Before/After transformation you can expect<ul><li>Before: You spend 20+ hours/week manually triaging emails, parsing data rooms, and drafting memos that miss critical signals</li><li>After : You run one command that extracts data, simulates an IC-style debate, and drafts your first memo while you focus on final judgment</li></ul>

Build your fund's Investment OS in a single 4-hour live session.

Design Your Own AI-Powered Investment Workflow

Eliminate Manual Data Handling

Build Production-Ready AI Systems (No Coding Required)

Turn Investment Judgment into Structured Logic

Understand the Foundations of AI Governance

The course is designed so you can build real AI-powered investment workflows using simple commands.

No Technical Background Required

The course is most valuable if you have some exposure to investing, startups, or financial analysis. 

Familiarity with Investment Workflows

The only real requirement is curiosity and a willingness to learn. You’ll get the most out of the course if you’re open to experimenting

Curiosity About AI and a Willingness to Experiment

You’re an investment lead drowning in data rooms with dozens of decks and need to scale evaluations without missing the next outlier.

You’re an MBA candidate who wants to stand out in AI-native investment roles by designing AI-powered workflows, not just prompting ChatGPT

You’re a CFO or operations lead replacing manual trackers and reactive reporting with a proactive system that monitors portfolio health

A hands-on beginner friendly workshop. Build & Publish your first Data Agent

Data Leader Microsoft, PayPal | Author

PayPal

Geico

Harvard University

UCLA

Gulrez Khan

Data Science Leader Microsoft, PayPal | Award-Winning Author | Storyteller

<h2>Why This Workshop Matters</h2>"I've been crunching numbers and telling data stories for the last 20 years... and yet, I felt left out."I felt AI was taking over and I wasn't able to catch up. My company added "use AI weekly" to our OKRs, and I'd nod along in the meeting, then go home and not open the tool for another two weeks. Every tutorial assumed I already knew what an "agent" was. Every demo moved too fast and I sat there pretending to follow (sounds familiar?).What actually broke the freeze was small: I stopped trying to learn AI in general and picked one real problem instead ---&gt; a backlog of favorite podcast transcripts I never watched (how can they release so fast!). So I opened Claude and picked this dataset and tried solving this.This workshop is that first rep, compressed into two hours and handed to you directly so you don't spend three weeks stuck where I was. You'll still need to keep practicing after. But you'll start from a real win, not a blank cursor.

Learn to build a data storytelling agent — direct it, fix it, ship a real story and go from AI-aware to AI-capable.

Direct an AI agent, not just chat with one. 

Turn long text into a Beautiful Data Story

Catch and fix a broken AI output yourself

Speak the language of agents, skills, and workflows with real fluency

Ship something and put your name on it

The Data &amp; Analytics Professional (10+ years in) Comfortable with spreadsheets and dashboards, uneasy about AI.

The PM, Researcher, or CX Lead drowning in large text analysis: Sits on a backlog of customer calls, user interviews or support tickets.

The Consultant, Marketer, or Solo Operator building a public portfolio: Wants proof of AI fluency they can show with a published piece.

Move from trying AI tools to building and evaluating an analytics agent your team can inspect, test, and improve.

Head of Data & AI (Ex-Amazon)

Paras Doshi

Head of Data (Amazon, Opendoor)

Guest Speaker

Sai Kumar Bysani

LinkedIn Learning instructor teaching data and AI to a 300K+ community.

Oct-2026

AI tools change fast. The durable skill is knowing how the whole system works: choosing the right problem, giving the agent trusted context, checking its work, showing proof, and handling failure.Without that standard, it is easy to keep watching videos, copy isolated prompts, and still not know whether your analytics agent is any good.This two-day live course starts from zero. You will use Cursor, Claude Code, or Codex to set up a safe workspace and complete your first AI-assisted analysis. Then you will build the production path: approved context, validation, proof, human review, correction reuse, and operating controls.You will learn directly from Paras Doshi, with Sai Kumar Bysani joining as a guest speaker. Sai is the LinkedIn Learning instructor behind Build Your First AI Data Analyst with Claude Code, and this course goes much deeper into what it takes to build a production-ready, tool-agnostic system.Bring one recurring problem from your work, or use the shared synthetic case. You will leave with a working system and a clear standard for judging the next tool, model, or architecture your team considers.

Future-proof your data career: turn one-off analysis into a system.

Build your first useful analytics agent

Turn one analysis into a repeatable system

Make the agent reliable enough to test and share

We start from zero and explain the working model as we build.

No coding experience required

Install Cursor, Claude Code, or Codex and confirm it can open the lab files before the course.

A laptop with one supported tool

You should be comfortable with metrics, reports, data, or a recurring business problem. No warehouse access is required.

Comfort with data or business questions

Data analysts and analytics engineers who want a guided start in Cursor, Claude Code, or Codex without a software-engineering bootcamp.

Data and AI leaders who need a practical standard for judging whether an analytics agent is ready to test with a team.

Operators with a recurring analysis, report, or business question who want a repeatable workflow instead of another one-off prompt.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Data scientists who apply statistical and ML techniques to extract insights from data.

Building, training, and deploying machine learning models — from classical ML to deep learning.

Single-cell RNA Sequencing

What you'll learn

Why this topic matters

You'll learn from

Jai Bhagat