PropertyGuru

American Express

SS&C

Ameriprise Financial

IAPM

Parul Gupta

Leading Digital Transformation @ Algoworks

Create AI Superagency At Work

Digital Transformation Lead, Speaker, and Author focusing on Human+AI potential.

Understand the foundational shift from mere AI automation to human-AI augmentation.

Define Superagency in the Enterprise Context

Identify distinct roles and responsibilities across the organizational hierarchy to drive and sustain the change.

Map Enterprise Hierarchy and Ownership

Bridge the gap between short-term AI experiments and scalable organizational value.

Architect a Scalable AI Roadmap

Build AI Agents in 4 weeks with proven frameworks that add 6-8+ fig to a business bottom line, no coding required

Cohort 19

Agentic practitioner, speaker, educator

Sara Davison

Co-Founder AI Build Lab 

Agentic Practitioner, speaker, educator

Tyler Fisk

Cohort 18

Cohort 20

‼️ 2026Curriculum! 👉Graduate with every prompt, agent &amp; workflow to replicate the system 👉Build the Skillset That Will Define the Next Era of WorkWe are in the single biggest shift of how work gets done in our lifetime. AI agents are changing how work gets done &amp; where you are 6 months from now depends on what you learn today:<ul><li>Where do I actually start? (sequencing: what's first vs next)</li><li>How do agents actually work together? (the orchestration piece that makes it work)</li><li>How do I know it's working? (evidence, not vibes)</li><li>How do I scale it / hand it off / sell it? (the actual point)</li></ul>What's missing is a clear, proven path - a step-by-step guide to build AI agent workflows you can demo, deploy, or sell. From real on-the-ground practitioners.📈 82% of leaders plan to scale their teams with AI agents 📉 47% say they can't find people who know how (MS 2025)WEF: work is shifting from execution to orchestration. The biggest demand is agentic workflow design: managing teams of agents.Tl;dr: almost no one can do this yet.This is the proven roadmap that's worked for 1,600+ graduates 👉 GRADUATE WITH A COMPLETE AGENTIC SYSTEM: EVERY PROMPT, WORKFLOW, STEP BY STEP INSTRUCTION TO USE BEYOND THE COURSE.

Build An AI Agent Team In 6 Weeks:Demo, Sell, Deploy. No Code, End To End System

How Do I Actually Orchestrate Agents? → Think Like an Architect, Not an AI User

How Do I Get Quality Results With Multiple Agents? → Master Context Engineering

How Do I Know What To Build Before I Start? The Requirements Build It For You

How Do I Make Agents Specialists? → Match Your Agents To The Right Knowledge

How Do Agent Teams Work Together? Learn Multi-Agent Orchestration

How Do I Ensure Consistency & Reliability At Scale? Learn Evaluations & HITL

Non tech-professionals wanting to become the 1% AI leaders &amp; operators in the workplace

Consultants and agencies looking to offer AI consulting and implementation services

Entrepreneurs &amp; business owners looking to build businesses as scalable, growth machines

Get Agentic Ready for 2026. Learn commercial frameworks for strategy, build-buy-partner, governance and cost. Lead with confidence. 

May 2026

Fractional Chief Product and AI Officer

Harvard Business Review

CNBC

KTVU

Subha Shetty

Fractional Chief Product and AI Officer. Former VP Product @ Fanatics

Feb 2026

Sep 2026

If you are a Product, Product Marketing, UX, or Engineering leader trying to make sense of enterprise-grade Agentic AI, beyond the hype, jargon and noise of the demos, this course is for you. Most teams don’t struggle with the technology of AI agents; they struggle with knowing when to use them, how to justify them, and how to deliver business value with them.This course helps you master the product and business strategy of Agentic AI with practical, commercially-minded workflows and frameworks that make you a more confident AI Agent leader in 2026 and beyond.In this course, you willLearn when, why, and how to use Agentic AI to solve real business problems - not just chase hype.Use the Agent Strategy Canvas, a proven framework to commercially viable AI AgentsNavigate build-buy-partner decisions with confidenceLead the AI Agent governance discussionUnderstand the full cost of ownership beyond tech and tools andDeliver a compelling capstone project: a real-world business caseThis is not a technical course. We focus more on strategy, decision-making, and business impact.This course is a "bootcamp" style format. Please ensure you have adequate time to complete your work everyday.

Become a Top 1% business-savvy AI Agent PM, UX or Engineering leader in 2026

Master the difference between Automation and Agents

Use the Agent Strategy Canvas (ASC)

Navigate build-buy-partner decisions

Lead the Agentic AI governance discussion

Understand the full cost of ownership

Deliver a compelling capstone project:

Product Management &amp; Marketing Leaders.Build commercial fluency to scope, justify, and lead Agent strategies that drive real business value

UX and Engineering leaders. Think beyond execution. Gain a strategic view of Agents to become a stronger, cross-functional product partner.

Entrepreneurs, tech founders. Craft board-ready Agent strategies that align with business models, value creation, and go-to-market clarity.

Build AI Agent Skills that Actually Work - 3 Hours Hands-on Workshop

Product Leader and Super IC at Google

Google

Disney+ Hotstar

Zynga

Anshumani Ruddra

Product Super IC at Google with 22+ years crafting experiences and blockbuster products

Cohort 03

Cohort 04

Most product builders use AI agents the same way they used search - typing queries and hoping for the best. That's leaving most of the value on the table.The teams pulling ahead aren't using better prompts. They're teaching their agents. Agent Skills are reusable, testable instruction sets that tell AI agents exactly how to handle specific workflows: your deployment process, your code review standards, your team's edge cases. Write one skill well, and every agent on your team benefits from it, every time, automatically.The problem: nobody is teaching product builders how to create them. Most documentation is written for a narrow technical audience, and the tooling is fragmented across Claude Code, Codex, and Gemini.In this hands-on workshop, you'll go from zero to a working skill installed in your own agent: one that reflects your real workflows, not generic templates. You'll also learn how to evaluate and improve skills systematically, so they get better over time instead of drifting.If you build or are hoping to build products with AI agents: this is the highest-leverage skill you can develop right now.

🤖 Learn to build procedural Agent Skills, transforming your professional mindset from solo prompter to manager of elite AI agents

Shift to an AI Management Mindset

Build Custom, Reusable Agent Skills

Leverage the Open-Source Ecosystem

Evaluate and Iterate for 10x Output

Product Managers: who use Claude Code or Codex daily but rely on ad-hoc prompts - and want repeatable, team-shareable AI workflows.

Entrepreneurs &amp; Founders: building AI-native products who need their agents to encode business logic, not just generate code on demand.

Tech Executives &amp; Product Leaders: who want their teams to stop reinventing prompts and start shipping a shared skills library.

Shift from ad hoc AI efforts to disciplined, structured, workflow-driven collaboration before significant investment.

Cohort 1

Workshop Lead: Netflix, Google, LinkedIn

Netflix

Microsoft

LinkedIn

Paul Bryan

I help organizations design and develop AI products that deliver business value.

July 2026 Cohort

<blockquote>AI applied to the wrong workflows leads to chaos. This course helps Enterprise teams launch successful AI pilots by aligning on workflows, roles &amp; responsibilities, risks, guardrails, and AI functional requirements before major investments.Industry reports suggest that over half of enterprise AI pilots never scale to production. Many pilots stall because the workflows were not ready for AI.This course addresses the real bottleneck: cross-functional alignment on key details before committing to technical debt.You will leave with:<ul><li>An AI Workflow Canvas: A structured way to identify where AI can move the needle in your organization</li><li>An AI Workflow Scorecard: A shared evaluation framework your cross-functional team can use to assess value, feasibility, data readiness, and risk</li><li>A Thin-Slice Prototype: Storyboards, scene cards, and an action flow diagram that aligns stakeholders across PM, DS, UX, Eng, and Biz on exactly what the AI system will do, feasibility and risk, and where humans are needed in the loop.</li></ul></blockquote>

Identify High-ROI Workflows Ready for AI

Identify high-friction workflows suitable for Enterprise AI

Prioritize AI initiatives using structured evaluation criteria

Clarify roles and decision rights before pilot launch

Surface feasibility and governance risks early

Make AI behavior visible to cross-functional stakeholders

Define readiness criteria before committing to a pilot

AI product team members (PM, UX, DS, ENG) who need a shared framework to align on workflows, feasibility, and responsibility before building

Product and business leaders accountable for Enterprise AI outcomes who must prioritize workflows and reduce risk before committing budget

AI governance, legal, and risk stakeholders who need structured ways to surface constraints, guardrails, &amp; ownership early in AI initiatives