National Institute of Standards and Technology

NOAA

Google

Nortel Networks

Nicole Radziwill

Tech CxO, AI Quality pioneer, former CDO & Chief Data Scientist

Build a Machine Learning Model with Claude in 15 Minutes

Hyatt

Cargill

Pepsi

National Radio Astronomy Observatory

TD Bank

Dr. Nicole Radziwill

Learn the one question that helps you figure out which family of ML models to consider... in an instant.

Match Your Business Problem to an ML Method

Very few ML models require robust technical infrastructure that learns in real-time from newly arriving data.

Use Offline ML to Drive Value Really Fast

We'll start with a spreadsheet containing real data and leave with a solved business problem.

Go From Spreadsheet to Model in under 30 Minutes — No Coding

Go from staring at a blank folder to a Claude Code AI system that you actually use in your life or business, in 6 weeks.

Production-Grade AI Builder & Educator

Dheeraj Sharma

AI systems builder & educator. 20 yrs enterprise software, 10K+ audience

Founding Batch

Cohort Batch 2

Use Code: GENAI30 for 30% discount (First 6 students)You watched the YouTube tutorial. You installed Claude Code. You opened a terminal and stared at a blank folder.The bar for what anyone can build alone is rising fast. The gap between people who use AI tools and people who build AI systems widens every month. Most Claude Code attempts die in 20 minutes.Not because the tool is hard, but because nobody showed you what is possible before asking you to build.Tutorials &amp; self-paced courses don't get you there. You need an instructor watching as you build, and other builders alongside you so you don't disappear after Week 2.In 6 weeks, you build a Claude Code system that runs part of your business:✅ turns your inputs into your outputs in your voice✅ connects to your real tools (Gmail, Notion, Drive, Calendar) through MCP servers✅ automates multi-agent pipelines through a live Hot Seat Build✅ reaches you on your phone; runs on a schedule without youTaught live by Dheeraj Sharma, Founder of GenAI Unplugged, 9 AI products shipped, 100+ articles on building AI systems.Session 1 Guarantee: Leave with clarity and confidence that this cohort is right for you. Else full refund. No questions.

Stop staring at the blank folder. Build a Claude Code AI system that ships.

01. Pick the right problem to automate with Claude Code 

02. Install Claude Code and ship your first working system

03. Build a knowledge layer that makes outputs sound like you

04. Wire your system into your real tools with MCP

05. Build multi-agent pipelines through a live Hot Seat Build

06. Run your first scheduled agent and ship your capstone

You will be typing in a terminal during live sessions. A real keyboard and full OS are required.

A laptop for each live session (Mac, Windows, or Linux. No tablet-only setups)

Claude Code runs on your Claude account. Free tier will hit limits during the live builds. Pro is the minimum.

An active Claude Pro subscription ($20/month) or Claude Max

<pre><code class="language-markdown">AI-Curious Professional who uses ChatGPT or Claude daily but wants to BUILD AI systems that run their work, not just chat with an assistant.</code></pre>

<pre><code class="language-markdown">Content creator or newsletter writer who tried Claude Code once, hit the blank folder, and gave up before shipping anything.
</code></pre>

<pre><code class="language-markdown">Solo founder or small business owner drowning in research, lead-gen, drafts, client summaries who wants AI system to handle the repeat work.</code></pre>

The 3-hour session that pays for itself in the first week. 

AI Advisor | Google AI Accelerator Alum

OpenAI

Amazon Web Services

NVIDIA

Dr. Aki Wijesundara

AI Advisor | Educator | Google AI Accelerator Alum

Exited AI Founder | Founder, TAI Labs

Boston Consulting Group (BCG)

McKinsey & Company

Manu Jayawardana

AI Advisor | Founder, TAI Labs

Cohort 1

Cohort 2

Your team already has Claude access - but they're using it like a search engine, not a coworker. It sits in a browser tab while the real work, the research, the docs, the comms, the repetitive steps, still happens by hand. In three hours, on your team's own real work, that changes.The math: teams that adopt AI properly run 25.1% faster on AI-suitable tasks - about 2.5 hours back per person, every week - which compounds into a 5.3× annualized ROI (Harvard Business School × BCG; U.S. BLS labor data). Break-even is ~28 minutes saved per person per week.Proven on real teams. The same shape of session we ran for <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.modernhealth.com/">Modern Health</a>, where Product, Ops, Design and Engineering each shipped a working build on their own data in a single day; <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.mpb.com/">MPB</a>, 5× faster listing throughput; and Type B Digital, operator output lifted 2.5×.One date, your whole team. Bring two people or twenty, no cap on numbers. Nobody experiments alone - everyone walks out on one setup and one shared way of working. Go native across the full stack.Want this shaped around your team's stack, headcount and dates? Email us and we'll scope a custom session. <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:hello@tailabs.ai">Email us</a> or <a target="_blank" rel="noopener noreferrer nofollow" href="https://theaiinternship.com/enterprise/call/">book a call here</a>.

🚀 Wire Claude into your real tools, build a shared team context file, ship a working automation, and leave with a 30-day rollout plan and a reusable Claude Workflow Pack.

Set Claude up on your team's real stack

Build a shared team context file

Ship a real automation

Leave with a plan and a pack

A team or function lead told to get the team on AI who needs something real in one session, not a promise to revisit next quarter.

An ops, product, marketing or finance team with Claude access but no shared way to wire it into the actual workflow.

A cross-functional team whose AI use is fragmented, everyone doing their own thing with no shared standard.

Stop starting over with AI every time a new tool drops.

Founder, Elevaite | Ex-Sr Data Scientist

Thaddeus Demeke

Ex-Senior Data Scientist @ Genentech | M.S. Industrial-Org Psychology

The models got genuinely good this year. They can write, analyze, and build. The tool stopped being what holds your work back. But most people haven't caught up. They keep chasing the next thing, a new model or app every few weeks, and the output stays generic.AI can't run what it can't see.Everything that makes your work yours, your standards, your voice, how you actually do things, lives in your head. The rest is scattered across old chats and forgotten notes. None of it sits where your AI can reach it. So you re-explain yourself every time. A good prompt works once, then it's gone. Nothing you build carries over.Everyone has the same AI models. Your edge is the OS you feed them.In 3 hours, you'll build your AI Operating System in Claude: one place where your context, your standards, and your workflows are written down, so any AI tool can pick them up instantly. Build it once, and every tool you use gets smarter. You build it live with a former Genentech senior data scientist who's now building these systems every day for businesses.<blockquote>You walk out with that framework, a 90-day plan to keep building, and our entire Claude AI OS repository, customized to your work.</blockquote>

Go from chasing new AI tools to running one system that knows your work and gets smarter every week.

Build your own AI Operating System from scratch

Document how you work in foundational files

Create a Voice Profile that gets AI sounding like you

Connect your apps and data sources to Claude

Automate everyday tasks with custom AI workflows

Make your system self-improving

PMs, designers, marketers, and operatorsWho want to be the person others come to for AI, with a real system behind them

Solopreneurs and freelancersWho want AI to do the work of a team they can't hire yet

Founders and small business ownersWho want to build a real AI foundation before they roll it out to a team

Go from a vague executive AI ask to a working prototype and stakeholder pitch in three weeks, using Claude as your team.

Founder, o1 Labs | AI + Product Educator

J.P. Morgan

Raythe Technologies

General Assembly

Freddy Alcántara

Founder & CEO, o1 Labs. 2,000+ professionals trained, 800+ in applied AI.

The Claude-Powered PM | Cohort 1

Your manager, your head of product, or someone in the C-suite wants an AI strategy "in the product by next quarter." You are the product manager who has to make it real, and no one handed you a method. In three weeks, this course gives you one: a repeatable process for taking any fuzzy AI product problem from a vague ask to a working prototype and a stakeholder-ready pitch, using the full Claude suite as your team. You will not watch someone else build. You will build, every week, and walk out with proof you can do it again.

Ship a Real AI Product Feature in Three Weeks, Without Writing Code

Turn a vague executive ask into a sharp, actionable problem statement

Build a three-layer success framework with real metrics

Prototype a working AI feature with Claude, even without code

Every exercise runs on your own problem, from work or a side project. Bring a fuzzy ask and leave with something you can use.

One real AI problem you want to solve

You need Claude Code and higher usage limits to build during live sessions. A short setup checklist goes out before week one.

A Claude account on a paid plan

No engineering background needed. You do need a willingness to think out loud and change your mind when the evidence says so.

Comfort with ambiguity, not with code

Aspiring PMs who want a portfolio piece proving they can ship an AI feature, not just talk about one.

Entry-to-mid-level PMs told to "figure out AI" with little guidance and no roadmap for where to start.

Designers, analysts, and engineers doing product work who want the AI method, not just the tooling.

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

The AI Evaluation Handbook

Technical Difficulties and Camera Setup

Pre-show Banter and Job Discussion

The Accidental Recording

Operations professionals who optimize processes and manage day-to-day business functions.

Broad professional audience — content relevant across many roles and functions.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

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

Business analysts defining requirements and bridging business and technical teams.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Build a Machine Learning Model with Claude in 15 Minutes

What you'll learn

Why this topic matters

You'll learn from

Dr. Nicole Radziwill