### The rise of AI has rewritten how products are imagined, built, and scaled. But it’s also reshaping careers in product management.

Join us for a live Ask the Expert session where our speaker break down what it takes to transition, grow, and stay relevant in product roles today. Whether you’re an engineer eyeing product management, a PM navigating the AI shift, or a professional exploring your next leap, this session gives you clarity straight from the trenches.

No jargon. No fluff. Just sharp insights from people who’ve lived it.

**What You’ll Learn :**
1\. How AI is changing the skill sets expected from today’s product professionals
2\. Key career pivots that open doors in an AI\-driven product landscape
3\. The balance between business sense\, data literacy\, and product intuition
4\. Real examples of how PMs are growing into AI\-first leadership roles
5\. Practical steps to future\-proof your product career

Lead like a Product Manager

Institute of Product Leadership

Nilesh Kumar

Subhash Konduru

Amit Singh

Saloni

Sitaram

Gaurav Gupta

Arvind Koul

Nishit Tated 

kvigneshwar027

Vipin K

Kiran Chandra B

Career Transitions & Growth in Product Roles in the AI-First World

Online event

Step into the future of product management with a hands-on **Skillathon** focused on **Predictive AI**. This isn’t just another workshop — it’s your chance to witness the learners **demonstrating their product thinking and analytical skills** in front of expert panelists.

**What to Expect:**

* Witnessing real-world scenarios using **ChatGPT, Tableau, and Power BI**
* Showcase how AI can predict user behavior, product success, and business outcomes
* Compete, collaborate, and get a chance to vote among your peers as a data-driven product thinker

Whether you’re an emerging PM or looking to upskill, this Skillathon will help you prove your edge in the era of AI-led product innovation.

Ayush

Lawrance

pavan Devarapalli

Vandana

Satyajit

ritikchaturvedi2002

chaitanyapriyataurus

Predictive AI in Product Management

This hands-on masterclass takes you on a structured journey of how anyone not just engineers can build credible, AI-powered applications. We’ll break it down into three progressive levels, blending product thinking with AI-assisted coding:

**Level 1: Kickoff & First Build**

* Understand how AI is reshaping roles in product building, emergence of “generalist product builders”
* Explore the AI coding landscape (Lovable, Spark, Github Copilot, Cursor, Claude, , etc.) and know which tool to use when
* Kickstart your first app in minutes using a browser-based tool like Lovable
* Connect your project to GitHub and get a codebase/repo you own

**Level 2: Local Development & Product Thinking in Code**

* Move from no-code browser tools to local development using Cursor/GitHub Copilot
* Learn how to think like a product builder translating PRDs, user flows, and UI sketches into working applications
* Best practices for building: PRDs, rules.md files, logical commits, and structuring your repo, debugging

**Level 3: Full-Stack App: From Prototype to Production**

* Go beyond the basics to build a production-ready prototype: Add integrations - databases, OTP authentication, payments, LLM intelligence
* Deploy with compliant hosting options like Firebase
* Understand how to scale these skills for different use cases (e-commerce, internal tools, AI-driven apps)

**Key Takeaways:**

* A clear understanding of the AI coding tool landscape and how to pick the right one for the job
* Firsthand experience in moving from idea → prototype → full-fledged app
* A reusable playbook for prototyping quickly and effectively
* Best practices for prompting, debugging, integrations that are essential for building real applications
* The confidence that even with limited coding background, you can ship real applications

**Pre-requisites:**

* Github account created using your personal email account
* Laptop with (1) git, (2) nodejs, (3) VSCode or Cursor installed

Maaz Ahmed

Bazeed Shaik

vinuthavenkatesh03

Jagan Vijayakumar

Monika Bhardwaj

Pasala Ganesh

nishtha seth

pranam g

Jose John

Krishna

DISHANT GHAI

dhaya1202

YANAMALA VIJAY RAJ

Praveen Marikuppam

Arun Duppally

ruchithanagraj68

Paidipati Bheemesh

Bhushan

Vibe coding: Building full-fledged apps using AI coding tools

## About Workshop

Step into an evening that blends learning, laughter, and real conversations — with a slice of pizza in hand.
Discover how top consulting frameworks meet AI-powered storytelling to create presentations that don’t just inform but influence.

**You’ll learn how to:**

* Craft structured, executive-level slides — McKinsey style
* Use AI to elevate design, flow, and clarity
* Learn to network meaningfully with leaders navigating career transitions
* Build connections that go beyond LinkedIn

**What you’ll walk away with:**

* A clear framework to **structure and deliver consulting-style presentations** using AI tools.
* **Hands-on exposure** to how top presenters think, plan, and build their slides.
* **Practical prompts and tools** to turn raw ideas into sharp narratives.
* **Expanded network** — connect with professionals and leaders exploring career shifts and leadership roles.
* A better sense of how to **communicate insight, not just information.**

**Note: Hands-on Workshop; It is mandatory to bring your laptop along**

Palaniappan N

Networking over Pizza : How to Make a McKinsey-Style Presentation with AI

Importance of Design Thinking cannot be undermined for High Tech Products. Design Thinking helps Tech companies create better products. This process encourages creativity and quick learning. It helps teams avoid costly mistakes and build products that people actually want.

For Tech companies, Design Thinking improves collaboration and speeds up innovation. It brings together different teams to solve problems in smarter ways. By involving users early, companies make products that are useful and enjoyable. This leads to happier customers and stronger market success.

Irrespective of your role, one should be aware of core Design Thinking Principles.

**Key Takeaways:**

* Design Thinking in High Tech product Development
* How Design Thinking can solve complex problems
* How it can help to develop services and products to solve users needs and enable innovation in Tech Industry
* Phases of Design Thinking & Case studies
* How it can be used beyond Software - Semiconductor Products examples

rajeshgottapu02

Banee Ishaque K

Atishay Jain

stufffzx

Design Thinking for High-Tech Products

Gruppi

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Lead like a Product Manager

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