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Master the Data Ops systems behind successful AI products, lead execution, reduce risk, and earn trust across Eng, Research, and leadership

Cohort 1

ex-Head of tPgM/Ops @ Google & ex-Apple

Apple

Google

Jeanne Williams

ex-Head of tPgM/Ops @ Google & ex-Chief of Staff @ Apple 

This is the first certification designed specifically for AI Product Teams focused on Data operations, AI operations, and cross-functional execution — built from 20+ years of real experience running AI/ML programs, data pipelines, infra, privacy, and readiness operations at global scale (Google, Apple).You’ll leave with a repeatable system, templates, and a DataOps operating model.ʏᴏᴜ ᴡɪʟʟ ʟᴇᴀʀɴ ʜᴏᴡ ᴛᴏ:<ul><li>Build DataOps workflows (intake → validation → delivery) that scale</li><li>Audit data quality across the 6 core dimensions (freshness, coverage, etc.)</li><li>Translate governance (GDPR/AI Act/CCPA) into real operational processes</li><li>Decide when to automate vs use human-in-the-loop for quality &amp; compliance</li><li>Build observability + measurement loops (golden sets, logs, dashboards)</li><li>Define OKRs and operating models for DataOps as a function</li></ul> ʏᴏᴜ’ʟʟ ʙᴜɪʟᴅ ᴀ ʀᴇᴘᴇᴀᴛᴀʙʟᴇ ᴏᴘᴇʀᴀᴛɪɴɢ ᴍᴏᴅᴇʟ That you can apply at work immediately with our capstone project: <ul><li>Data intake + requirements</li><li>Governance constraints + access model</li><li>Pipeline strategy (ETL/ELT)</li><li>Readiness + quality checks</li><li>Human-in-the-loop plan</li><li>Metrics + monitoring plan</li></ul>

Become the Data Operations leader AI product teams need to ship with confidence

Master DataOps fundamentals for AI-driven organizations

Lead cross-functional alignment across Eng, Research, Product & Privacy

Build DataOps metrics, dashboards & measurement systems

Conduct rigorous data audits and quality assessments

Build governance-aligned data strategies that scale

Tech Team Leaders who must guide AI-driven teams and need DataOps expertise to improve delivery, quality, and cross-functional execution.

Tech PgMs who want to deepen their AI, data, and governance expertise to advance into senior, high-impact roles.

Cross-functional tech professionals who partner with AI teams and need DataOps skills to execute and scale AI initiatives.

The only course that teaches People and Operations leaders to build AI-powered automations that actually deliver ROI

Cohort 3

Founder, Builder, People Ops Leader

Finom

Accurx

VEED

Multiverse

TestGorilla

Matt Bradburn

Consulted with 200+ companies on scaling people/ops, built 100+ automations

Cohort 2

Cohort 4

🔥 The Problem (Why This Matters Now)You're Drowning in Manual Work While Others Are Scaling Intelligently. The gap between manual operations and automated excellence is widening every week.The Hidden Cost of "Simple" Manual Processes- That "quick" weekly report you compile? It's costing you $18,000 annually.- That onboarding checklist you manage manually? $25,000 per year in hidden costs.- Those approval workflows running through email? $40,000 in delayed decisions and missed opportunities. Most People and Operations leaders underestimate the true cost of manual processes by 400%. They see the 30 minutes, not the compounding effects of delays, errors, and opportunity costs.💪 The Solution:⚡️ The Only Course That Teaches Problem-First Automation for People and Operations Leaders. You'll learn the exact methodology that I use to help leaders at scaling companies:😇 Save 20+ hours per week through intelligent automation🔥 Reduce manual errors by 95% with AI-powered workflows💪 Reduce reliance on new headcount and focus on the strategic leverage

A 6-week practical course to get you building ai automations and improving ROI

🔍 Week 1: Strategic Foundation - From Problems to Automation Opportunities

🧠 Week 2: AI Building Blocks - Prompts, Agents & Data Intelligence

🛠️ Week 3: n8n Foundations - Building Your First Automated Workflows

⚡ Week 4: Advanced Automations - Multi-System Integration & Data Intelligence

🤖 Week 5: Custom AI Agents & Advanced Use Cases

🚀 Week 6: Scaling & Optimization - Building a Sustainable Automation Practice

Spend more than 5 hours per week on repetitive tasks that could be automated

Some experience using LLMs

Manage processes that touch multiple systems and require manual coordination

Access to the systems you need

Are ready to invest time in learning to save exponentially more time later

The will to develop yourself

People Operations Directors and VPs&nbsp;who need to scale their function without proportional headcount increases

HR Business Partners and Generalists&nbsp;who want to move from administrative tasks to strategic value creation by automating routine processes.

Operations Managers and Leaders&nbsp;responsible for cross-functional processes who are tired of manual coordination and ready to build systems

Learn how to redesign end-to-end processes so AI strengthens your organization instead of fragmenting it.


BA-Cube Founder | LinkedIn Instructor

Angela Wick

25+ years practicing, shaping, and teaching analysis, product, and requirements.

AI-Enabled Systems & Process Design

Most AI initiatives focus on tools and tasks.Few redesign the process and/or system.When AI is inserted into broken or unclear processes, the result is:<ul><li>More exceptions</li><li>Hidden ownership gaps</li><li>Unclear escalation</li><li>Fragile automation</li><li>Accountability confusion</li><li>Scaling nightmares</li></ul>This means increased cost and unhappy customers!AI changes how systems behave. We must design coherent processes with the end-to-end in mind.That means intentionally aligning:<ul><li>Users and their scenarios</li><li>User experience and workflows</li><li>Business rules and policies</li><li>Data flows</li><li>AI guidance, guardrails, governance, and performance measures</li></ul>Business analysis is the skill set, mindset, and discipline that brings all of these elements together—integrating them into coherent solutions that deliver real business value.

Design AI-Enabled Business Systems That Actually Work

Differentiate embedded AI, automation, and agentic AI in end-to-end processes.

Analyze an end-to-end business process that includes AI components

Clarify ownership and decision accountability

Define, Design, and Build human checkpoints into AI workflows

Facilitate decisions about AI in the organization

Senior Business Analysts / Lead BAs

Product and Transformation Leads / BA Consultants

AI Fundamentals

Apply AI in your role

Career Development

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Craft

AI Fundamentals

Leadership fundamentals

AI Fundamentals

Leadership fundamentals

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