Build AI Analysts in Claude Code
Build agentic data analysts for your company in one weekend. No code.
Weekend bootcamp · 8 hours live · 3 instructors · Build a working AI analyst
Week by Week
What you'll learn
Every section follows the same pattern: learn frameworks, practice with real scenarios, apply AI tools, ship a deliverable.
Day 1: Foundation & First Skills
4 hours live
Set up Claude Code as your personal AI analyst. Build your first markdown-based skills, connect to data sources, and run your first automated analysis — all guided step-by-step with 3 instructors.
You'll build: Working Claude Code environment with 6 custom skills and data connections
"No code. Just markdown and structured thinking."
Day 2: Agents & Production Analysis
4 hours live
Build multi-step agents that chain skills together into automated workflows. Connect your own company data. Produce a complete analysis with charts, narratives, and a slide deck ready to share Monday morning.
You'll build: Complete AI analyst system with 15 agents + a finished analysis using your company data
"You leave with a working system, not a certificate."
The Transformation
Friday vs Monday
What changes between walking in Friday morning and walking out Sunday evening.
Before the bootcamp
- ✕ Manual data pulls and one-off analyses
- ✕ Waiting on data team for every question
- ✕ Inconsistent analytical approaches across the team
- ✕ Hours spent formatting charts and slide decks
- ✕ No systematic way to run recurring analyses
After the bootcamp
- ➔ 11 reusable skills that encode your best practices
- ➔ 15 agents that chain skills into automated workflows
- ➔ Connected to your company data via MCP
- ➔ Charts, narratives, and slide decks generated automatically
- ➔ A complete analysis ready to share Monday morning
What You Leave With
Your toolkit
What You Get
- ➔Complete AI analyst repository (11 skills, 15 agents)
- ➔8 hours live instruction with 3 instructors
- ➔Step-by-step guides and recordings
- ➔One free refresher cohort access
- ➔Full course discount eligibility
Skills You Build
- ➔Question framing & problem definition
- ➔Metric analysis & root cause investigation
- ➔Data visualization & chart generation
- ➔Narrative synthesis & storytelling
- ➔Slide deck production
What You Connect
Bring your own company data or use our sample datasets. By end of day 2, your AI analyst knows your data schema and analytical standards.
- ➔SQL databases via MCP
- ➔CSV and spreadsheet data
- ➔Company-specific analytical frameworks
Your Instructors
Learn from practitioners, not professors
Shane Butler
Principal DS at Ontra
Ontra · Stripe · Nextdoor · PwC
10+ years in product data science, causal inference, and AI evaluation across B2B SaaS and consumer products.
Hai Guan
Head of Data at Ontra
Ontra · Meta · Pinterest · LinkedIn · Nextdoor
16+ years teaching PMs, designers, and leaders to make data-informed decisions independently.
Sravya Madipalli
Sr Manager DS at Superhuman
Superhuman · Microsoft · eBay · Nextdoor
14+ years building data science teams and teaching non-data partners to think analytically.
What Makes This Different
Built for people who ship, not just study
8
Hours of live, hands-on building with 3 instructors guiding every step
2
Days from zero to a working AI analyst system you can use Monday morning
15
Agents that automate your analysis workflow end-to-end
This is NOT
- ✕ A lecture or demo
- ✕ Requires coding experience
- ✕ Theory without practice
- ✕ Just another AI tool tutorial
This IS
- ➔ Hands-on building from minute one
- ➔ Build alongside instructors step-by-step
- ➔ Leave with a working production system
- ➔ Your data, your frameworks, your analyst
FAQ
Common questions
Do I need coding experience? +
No. Everything is built with markdown and natural language. If you can write a clear sentence, you can build an AI analyst.
What do I need to bring? +
A laptop with Claude Code installed (we send setup instructions beforehand). Optionally, access to your company data — CSV, database connection, or spreadsheet.
What if I can't make both days? +
Everything is recorded and you get one free refresher cohort. But we strongly recommend attending both days live — it's a build-along format that works best in real time.
How is this different from the 5-week Builders course? +
The bootcamp teaches you to build the AI tool. The 5-week course teaches you the analytical thinking the tool should apply. Many students do the bootcamp first, then take the full course to deepen their frameworks.
Will this work with my company's data? +
Yes. Day 2 is specifically about connecting your own data sources. By end of day, your AI analyst knows your schema, your metrics, and your analytical standards.
Next cohort: May 23-24, 2026
Weekend bootcamp. 3 instructors. Analytical independence.
Taught by Shane Butler, Hai Guan, Sravya Madipalli