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

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.

Learn how to use AI super powers to accelerate customer discovery, validate solutions, and make better product decisions.

Cohort 4

Product Innovation & AI Trainer

Capital One

Cisco

Wesco

Valerio Zanini

Product Management and Innovation trainer. Author, "AI for Product Managers".

Cohort 3

Morning sessions in the US, evening session abroad

Cohort 5

Using AI in product management is not just about getting better at ChatGPT. It's about leveraging AI across the product development life cycle (PDLC) to accelerate, expand, and simplify what's possible, with AI super powers.In 2.5 weeks, you’ll learn - by doing - how to:<ul><li>Understand how AI works, when to use it, and possible risks for PMs</li><li>Use AI for customer and market discovery including synthetic users and interview synthesis</li><li>Use vibe-coding to build prototypes and MVPs of features or entire products (Lovable, Replit, Claude Design, Figma Make, Claude Code)</li><li>Automate your PM workflow with AI Agents and multi-agent orchestration (including Agents, Skills, Claude Cowork)</li><li>How to build AI products and define strategy VS execution</li><li>Use Evals to monitor the performance of AI products and ensure quality of the outputs.</li></ul>This is a hands-on, instructor-led cohort for PMs who make real product decisions.Duration: 2.5 weeks (short, intensive, focused)Format: Instructor-led cohort with 2 sessions per week (see schedule below) and video lessons for reviewBetween sessions: Hands-on assignments to build the practical experience###DISCOUNTS AVAILABLE: Paying out-of-pocket? Laid off? Email me for 50% OFF

Get AI super powers to grow in your PM job

Accelerate your Product Management job

Use AI to accelerate customer discovery

Leverage vibe-coding in the solution space and prototype quickly with AI

Build repeatable AI-augmented workflows you can reuse in real product work

Build AI-driven products and define strategic choices

Senior Product Managers and experienced Product Owners

PMs who want to move beyond “AI curiosity” to real, practical use of AI in product discovery and development, with hands-on practice.

PMs who want a deep-dive on how to use AI in product work to extend their PDLC.

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

Workshop Lead: Netflix, Google, LinkedIn

Netflix

Microsoft

LinkedIn

Paul Bryan

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

Cohort 1

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

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

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

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

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

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Leading organizational AI adoption — change management, strategy, and building AI-ready teams.

Create AI Superagency At Work

What you'll learn

Why this topic matters

You'll learn from

Parul Gupta