Oracle

S&P Global

Weill Cornell Medicine

Scaled Agile

Priyanka Shetty

Principal PM (Oracle, S&P Global, Weill Cornell) | AI Strategist & Founder

Prompt Engineering for Product Managers

Learn the core ingredients of an effective prompt and why context, specificity, constraints, and desired outputs matter 

1. Understand What Makes a Great Prompt

Learn a simple, reusable framework for structuring prompts across common product management tasks—from discovery and ana

2. Apply a PM Prompting Framework

Apply prompting techniques to real PM scenarios and learn how to get more useful, structured, and actionable results fro

3. Improve Your AI-Powered Product Work

Leave with a practical mental model for iterating on prompts instead of expecting the perfect answer from the first atte

4. Build Your Prompting Habit

Build a full AI evals suite in 3 hours on a real use case

Founder @Lovelaice | 10 years in Product

Finastra

Trading Central

Printify

Madalina Turlea

Product leader with 10+ years in platform and SaaS products | Founder Lovelaice

Founder @ Lovelaice | 2x founder & CTO

Teleclinic

Nilo

SIXT Group

Freeletics

Catalina Turlea

2x founder & CTO | 14+ years in tech | Founder @Lovelaice

July

September

<blockquote>Whether you're building your first AI feature or exploring what AI could do in your product, there's a moment every PM hits: you look at the AI output and think "this seems okay?" but you don't have a structured way to know for sure.You've heard about evals. You know vibe checking isn't enough. But where do you actually start?This workshop takes you from that starting point to a working evaluation suit, built on a real AI feature use case, in 3 hours.You'll write a production system prompt, run it across multiple LLMs, read and annotate real AI responses to understand where they break, find failure patterns through error analysis, define automatic evals based on what you found, and measure whether your improvements actually worked.You'll leave with hands on experience on building your own evals suite, failure taxonomy, and a repeatable process to evaluate and improve any AI feature from here.Every participant works hands-on annotating AI responses, writing evals and running improvement iterations. We've run 1,500+ AI experiments with product teams and this workshop is the compressed version of what we've seen work.</blockquote>

Design, build, validate and iterate on an AI feature, hands-on

Understand the most important components of building AI features at scale

Build an evaluation suite to scale your testing

Learn how to identify failure patterns. Then iterate on both prompt and evals

The PM who wants hands-on experience on how to build high performing AI features

The PM who is overwhelmed by the technical tools and process around building AI

The product lead who wants improve the iteration speed or wants to scale manual testing with automatic evals

The fundamentals were always the job. In the AI Era, they're the only job.

Founder | Coach | Product Alchemist

Slalom

Talkiatry

International Coaching Federation

Co-Active Training Institute

World Kinect

Danielle Tye | Activate Edge

Founder | Executive Coach | Product Alchemist

Cohort 2

Here's the uncomfortable truth: AI is doing a lot of what passed for PM work. And for some of us, that's a relief. For others, it's terrifying, because if the tool does the easy stuff, what's left is the hard stuff.Most of us got so deep in the process, the ceremonies, the tickets, the roadmap reviews, that we drifted from the fundamentals without noticing it. The system didn't help, what got rewarded was output, not outcomes which made our strategic skills get rusty.This workshop is a return to the craft. We'll go back to the basics that great product work has always been built on, customers, impact, discovery, prioritization, clear judgment. We will look honestly at what AI changes about how we do them, and what it doesn't change at all.You don't need to become an AI expert, you need to remember what made you a great PM in the first place. This workshop gets you ahead of the pack.

Walk away with sharper PM fundamentals, real practice reps, and a clear plan for how you show up differently starting Monday.

See clearly where the PM role is actually heading

Audit your own skills to see where you stand today

Skill drill by practicing real customer discovery 

Make a sound judgement call when the data runs out 

Build a case using executive presence that actually lands

Leave with an actionable plan, not just inspiration

You're a product manager who's great at execution and ready to invest in the strategic skills that will define your next level.

You're a product lead or manager responsible for developing your team's PM skills in a rapidly changing environment.

You're a senior individual contributor considering management and want clarity on which skills transfer and which ones need rebuilding.

Learn how to build production-ready AI prototypes 

Founder.  Previous:Meta, WhatsApp Dir PM

WhatsApp

Stanford Graduate School of Business

Uzma Barlaskar

Ex- Meta Superintelligence Labs Director helping PMs become AI-native 

Cohort 1

The role of the Product Manager is changing. Companies such as Meta, AirBnB, Coinbase, and AI-native companies such as Anthropic increasingly expect PMs to validate ideas by building and shipping an initial version themselves, collecting real user feedback and usage data before scaling with engineering resources.Creating an AI demo is easy.Building something users can actually use is much harder.The difference between a prototype and a product isn't code generation. It requires rigor : clear specifications, good design decisions, testing, deployment, analytics, and knowing what to measure after launch.In this hands-on workshop, you'll learn how to:<ul><li>Turn ambiguous product ideas into AI-native specifications that coding agents can execute accurately.</li><li>Design and build production-ready applications using modern AI development tools.</li><li>Add testing, evals, and deployment workflows that make software reliable enough for real users.</li></ul>By the end of the session, you'll have taken a real idea from concept to a live application and learned the AI-native product lifecycle now expected of modern product managers.

Learn the AI-Native PM workflow: spec, build, launch, and validate products with AI tools.


Write AI-native product specifications that are coding agent ready

Generate and evaluate multiple product designs rapidly using AI tools.

Build working applications using modern AI coding agents

Create tests and evals that ensure reliability and catch failures before launch

Early and mid-career IC PMs (L3-L6)

PM Managers transitioning to IC PMs (M1/M2s transitioning to L6/L7 PMs)

Master the systems, frameworks and creative workflows that turn AI into your most powerful professional tool.

AI Builder · Creator · Founder · Speaker

Sean Bradford

Founder, ORIGIN STØRIES  · Speaker · Lab of Tomorrow · Eurosonic Noorderslag

TIME 100 AI · Comedian · Creative Tech

King Willonius

TIME 100 Most Influential in AI · Ebony Power 100 · Ad Age Power Tech 2025

Everyone is under pressure to use AI... in campaigns, productions, content, and creative work. But most people are stuck in the same loop: prompting randomly, getting inconsistent output, and producing nothing they'd confidently hand to a client or a team.The problem isn't the tool. It's that there's no system underneath.This course teaches you how to build one. Over four live sessions, you'll go from random prompting to repeatable AI systems: learning story architecture, connecting your system to real generation APIs, building an agentic workflow, and presenting finished work for live feedback.Led by Sean Bradford (founder of ORIGIN STØRIES, 22 live AI deployments, speaker at Tomorrowland and Eurosonic) and King Willonius (TIME 100 Most Influential in AI, creator of BBL Drizzy, speaker at SXSW, MIT, and Harvard). This is not a theory course. Every session produces something real.Beta cohort. Small group. $950. Starts May 11.

AI is changing creative work fast. Most people are being left behind.

Build a reusable AI prompt system from scratch

Apply story architecture to make AI output actually land

Build a working agentic workflow : no coding experience required

Benchmark and evaluate any AI tool with a reusable framework

Package and pitch your AI work to any audience

Leave with real work, not notes

Creative professionals and strategists under pressure to deliver with AI but want to stay in control of their craft and output quality

Event producers and creative technologists: live event, festival, venue, and entertainment operators looking for production-ready solutions

Founders and operators: people running creative businesses or teams who need repeatable AI systems for collaborators + clients

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

Product managers who drive strategy, development, and launch of products.

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

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

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Prompt Engineering for Product Managers

What you'll learn

Why this topic matters

You'll learn from

Priyanka Shetty