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Online: Live & Recorded3 weeks & Capstone ProjectCohort-basedLimited seats

Agentic AI-Fluent Executive Certificate Program

"First Principles" Framework for Mastering AI for Product & Business Leaders
Vikash Rungta

Instructor

Instructor @Stanford Continuing Studies and Former PM Llama @Meta

Kirthiga Reddy

Program Partner

CEO Verix, ex-MD Meta India, ex-Softbank Partner, Former Chair, Stanford Business School Management Board

Overview

Unlock a rare opportunity to learn from Vikash Rungta - Instructor @Stanford Continuing Studies and Former PM Llama @Meta, who has taught thousands of product and business leaders in Silicon Valley.

This content has been rigorously refined and validated with more than 2,200 product and business leaders at the forefront of the AI revolution, including 1,200 PMs and TPMs at Meta, as well as participants across leading universities, executive workshops, and industry programs.

Designed for ambitious tech-forward leaders, you have a chance to gain cutting-edge frameworks, insider insights, and hands-on guidance from one of the most respected voices in the AI space.

Hosted by Kirthiga Reddy - CEO & Co-founder, Verix, ex-MD Meta India, ex-Softbank Partner and Former Chair, Stanford Business School Management Board.

Loved by Product and Business Leaders from
Meta logoGoogle logoTesla logoMS logoIBM logoApple logoAdobe logoSalesforce logo

Key Highlights

Hands-on practical sessions on GenAI, LLMs, prompt engineering & product frameworks

No prior AI or coding experience required - tailored for product & business leaders

Exclusive WhatsApp group for continued learning, peer exchange & community support

Capstone presentation to executives & investors after the course (optional)

Blockchain based course completion certificate, with one tap verification

Instructor-led demos & peer collaboration exercises

AI Framework for Building and Leading AI-Native Products

Frameworks

Perfect For

Business Leaders

Product Leaders

Venture Builders

Startup Founders & CXOs

Strategy Consultants

Innovation Leaders

Early Bird

$1,690

Regular Price:$1,880

Early Bird until Sep 15
Enroll Now
Access Now: AI Product Principles
Recognised byRise2.AI

3 weeks + Capstone Project

Online Cohort-based Course
Starts: 4th October 2025
Ends: 25th October 2025
Limited seats only

Pricing Details

10% discount for 3+ registrations
Group of 5+ ask for special pricing
(For group bookings please contact Lisha at lisha@verix.io or +91 882 804 1226)
Get Exclusive Discount Code
Course credentials issued - eligible for company education reimbursement.
Certificate
Impact Contribution: 5% of net revenue goes to support AI Kiran, a national initiative to empower 1 million women in AI in India, led by Verix with backing from the Office of the Principal Scientific Adviser, Government of India. Impact contribution directed to INK Women Foundation.

Agenda

Your 3-Week Transformation into an AI-Fluent Product and Business Leader

This isn't just a course; it's a 3 week, hands-on playbook designed to systematically advance you through four stages of mastery. You will start by mastering the core technology and end by confidently driving company-wide AI strategy.

Agenda

The Technologist - Mastering the Core "Why"
Master the foundational "why" behind modern AI with a deep, intuitive grasp of Machine Learning and Transformer architectures, equipping you to engage confidently with engineering teams and lead with credibility.
Go "Under the Hood" : Gain a clear understanding of core Machine Learning concepts and delve into the architecture of Large Language Models (LLMs), such as Transformers.
Understand the Engine : Explore their training methods, including pre-training and fine-tuning and examine the fundamental strengths and limitations of cutting-edge LLMs.
Translate Theory to Practice : Apply your knowledge through a hands-on, no-code ML model.
The Builder - From Idea to Interactive Prototype
This hands-on stage is dedicated to mastering the tools that allow you to rapidly prototype, validate ideas, and create tangible AI-powered experiences yourself.
Master the Art of Control : Learn professional-level skill in prompt engineering to steer AI models and go beyond simple prompts by designing and building your first functional AI Agent capable of executing complex tasks.
Build Your First AI Products : Use AI playgrounds to build and ship multiple prompt-based micro-products and custom GPTs.

The Architect - Designing Production-Ready Systems
A great prototype doesn't automatically make a great product. As an architect, you will learn to design systems that are robust, defensible, and built upon a coherent data strategy and repeatable patterns.
Develop Your Data Strategy : Build an actionable plan for integrating GenAI that accounts for crucial factors like cost-value tradeoffs and data privacy. Learn to identify and mitigate common LLM flaws like hallucinations, biases, and lack of grounding.
Build a Defensible Moat with Data : Master Retrieval-Augmented Generation (RAG) to connect your product to external data and understand when to use Finetuning to improve model performance.
Advanced System Design : Understand advanced concepts like Model Context Protocol (MCP) and Agent-to-Agent (A2A) systems to architect more sophisticated solutions.

The Product Leader - Driving Product Success & Organizational Change
Your impact expands from a single product to the entire organization. You will learn to navigate the complexities of shipping AI, and lead the strategic integration of this technology across your company.
Analyze real-world use cases : Identify lessons learned and best practices of successful GenAI and agentic AI implementations. Discover a wide range of applications and use cases for GenAI and agentic AI across various industries and domains.
Build a Long-Term GenAI Strategy : Learn the end-to-end process for taking a product from a Proof-of-Concept (POC), to MVP, to full deployment and validation in the market.
Master the Shipping & Validation Process : Apply your knowledge through a hands-on, no-code ML model.
Future readiness : Explore the potential impact of AGI on products, industries, and society and their difference from narrow AI systems. Stay informed about AGI research trends and breakthroughs.

Week 1 Outcomes
Clearly explain the core technology of LLMs to any audience, from engineers to executives.
Lead technical discussions with confidence and credibility, eliminating any sense of being an imposter in AI meetings.
Demonstrate professional-level skill in prompt engineering to effectively interact with and control generative models.
Build multiple functional products and custom GPTs that you can ship using only prompts.
Build and deploy your own functional AI agent, giving you a real-world project for your portfolio.
Week 2 & Week 3 Outcomes
Develop a strategic framework for integrating GenAI into your products.
Deploy strategies to mitigate weaknesses in AI models, such as hallucinations and potential biases.
Create bulletproof GenAI roadmaps that get funded because you know exactly which tool to use and why.
Pinpoint high-potential use cases and accurately assess the business value of bringing a new AI feature to market.
Confidently lead your company through the technological shift, securing your relevance and becoming the leader your company needs you to be.

🌟 As the field continues to evolve, this section will be regularly updated to reflect the latest tools, frameworks, and best practices.

API Keys

Chat Products (Essential)

• ChatGPT Plus
• Claude.ai
• Groq
• Together AI

Playgrounds

Developer Tools

Code Generation Tools

• v0.dev
• Replit

Optional

• Lovable.dev
• Bolt.new

Products to Follow

• LangChain
• CrewAI

Database

• Supabase (Primary)
• Pinecone - Vector DB

Build Systems

• Langflow (Pipeline)
• Make.com

💡 Pro Tip: Set these up beforehand to jump straight into hands-on exercises!

After the Course

Capstone Presentation - Option to pitch an AI product to our panel of business leaders and investors.
Exclusive WhatsApp group - Join Vikash and your cohort for lifelong learning and peer exchange.
Build Your Own AI Agent - Go beyond prompts - use modular tools to create a fully functional AI agent that can take action, call tools, and operate independently. No prior coding experience required.

Testimonials

"The session focused on building practical GenAI intuition for product leaders — going well beyond a refresher. It deepened my understanding of GenAI, enabled hands-on development of multiple live apps (without writing code), and helped further shape my journey from product management to AI product management. The peer-driven, highly practical format and Vikash’s clarity in teaching made it a standout experience."

Dominic PereiraVP of Product Management, Automation Anywhere

"We went beyond the hype and focused on how to lead AI projects with strategy, responsibility, and real business impact. The best part? Connecting with an incredible group of PMs and technologists here in Silicon Valley who are building the future. Grateful for the insights, the frameworks, and the conversations that came out of it"

Jairo NarezEngineering Program Manager, Apple

"Diving into this course was a revelation! It not only demystified GenAI but also showcased its transformative potential in product development. Through hands-on projects and deep insights, I grasped the art of weaving GenAI into product strategies."

VikramDirector Product Management, Adobe

"I'm a physician. I should understand healthcare better than most. What if this frustration could become the solution for thousands of other patients? That insight became Sentinel AI. It's not another chatbot. It's an intelligence layer that learns, remembers, and prevents problems before they happen. A special shoutout to Vikash Rungta for his invaluable mentorship."

Venkat GullapalliData & AI Strategy Consultant, Telisina

"Driven by curiosity and inspired by my practical fintech experiences, I have blended the essentials of product management with the cutting-edge power of #Al and #GenAl. The result? An actionable article demonstrating how rapid prototyping using Al tools like Vercel and Lovable can transform fintech onboarding flows into high-conversion user experiences."

Alok JariwalaVice President of Product, U.S. Bank

"Vikash's course helped me in landing a high visibility project at my company. This course enabled me not only to start thinking about ways LLM applications could be applied to my customers' pain points but also asking the right questions to my engineering and business colleagues."

GunjanSenior Product Manager, Walmart

"Vikash did a great job of introducing the basics and then building on them. Every session was super engaging."

ParulSenior Director of Product, Indeed

"Excellent course by Vikash. Each session was a rich and full of useful details. I learnt a lot, highly recommend. Thanks."

SunilGroup Product Manager, Google

"Good conceptual course for anyone looking to gain base knowledge on Gen Al. Course journey takes from ML concepts into its evolution towards Gen Al."

VivekSenior Technical Program Manager, Meta Platforms

"Incredible experience with Vikash Rungta course on Generative AI for product management! It's amazing how AI is transforming product management and reshaping the way we think about products and services. I look forward to leveraging these concepts in my upcoming projects and integrating them into my professional growth."

Reema KeswaniSr. Staff Product Manager @ Intuit | Ex-Tesla

Have Questions? Join Our Community

Don't wait until the course starts! Connect with Vikash and the community now:

WhatsApp Group

Connect with fellow participants and get ongoing support in our exclusive group.

Join WhatsApp Group

Frequently Asked Questions

This course is curated for senior product managers, startup founders, CXOs, innovation and digital transformation leaders, and product-focused professionals. If you are responsible for driving business strategy, product innovation, or go-to-market execution and want to build fluency in AI without needing to code, this course is for you.
Not at all. This is not a technical bootcamp. The course is designed for non-technical decision-makers and focuses on AI systems thinking, real-world application frameworks, and product-led AI strategies. No coding or data science background is required.
You'll learn how to think about generative AI from first principles and shift your mindset from deterministic to probabilistic product building.

The course covers: Why every product will become an AI product, Moving beyond proof-of-concepts (POCs) into production-ready products, Building technical fluency (understanding concepts without needing a PhD or coding expertise).

It brings Silicon Valley-level AI product management learning to India, now delivered online. The course helps Product Managers understand both the problem space and the solution space in AI, a critical skill for moving from ideas to production. You'll learn how to avoid pilot purgatory, manage trade-offs like latency, reliability, and privacy, and bridge the gap between engineering and business teams.
An immersive 3-week online cohort-based course with hands-on guidance, case studies, frameworks, and a capstone project. Participants engage in structured learning with instructor-led sessions, peer collaboration, and optional capstone presentations to executives or investors.
The program runs from 4 October 2025 to 25 October 2025, online - Live + Recorded.
Seats are intentionally limited to ensure high-quality learning, meaningful engagement, stronger peer-to-peer learning, and direct access to faculty.
Full access to all live sessions and course materials, Capstone project with the option to present to executives/investors, Blockchain-verified certificate upon completion, Access to an exclusive WhatsApp cohort group for peer learning and ongoing support.

Early Bird: ₹1,48,500 + GST (until 15 September 2025), Regular Price: ₹1,65,500 + GST thereafter, Group discounts: 10% off for 3+ registrations, and special pricing for groups of 5+ (contact Lisha for details).

Yes. Participants will receive a blockchain-verified certificate, easily shareable on LinkedIn and eligible for submission under most corporate learning reimbursement programs.

By the end of the program, you will be able to: Confidently design and present AI-powered product strategies, Collaborate effectively with engineering and data teams, Apply first-principles thinking to real-world AI problems, Future-proof your product roadmap with AI capabilities, Prototype agents and AI systems, with the knowledge to scale them into production.

No. You don't need ML or Python to succeed as an AI PM. What's required is conceptual fluency and the ability to apply AI capabilities to solve meaningful problems in your domain.
This course will help you think about AI as a core layer in the technology stack rather than just an add-on. You'll learn how to move beyond demos and design for production, reliability, and adoption at scale. Through this, you'll develop the strategic mindset needed to connect problem spaces with AI-driven solutions and unlock opportunities that were previously out of reach.
Acceptance of probabilistic outcomes rather than deterministic guarantees, Willingness to invest in experimentation, knowing that some attempts may fail, Strong expectation management with leadership to avoid pilot purgatory, Teams and processes architected for latency, reliability, and privacy.
You'll learn to focus on the major shifts in AI capabilities instead of chasing every new headline. The course emphasizes hands-on building with AI and staying close to applications that create real business value, so you can keep pace with AI confidently without feeling overwhelmed.
Every product will become an AI product, so opportunities exist across domains. The biggest mistake is stopping at a POC - aim for production-ready, scalable AI. In India, building AI-first products at scale can accelerate adoption and growth while avoiding pitfalls like pilot purgatory.
Focus on building AI solutions, not just using them. Manage risks and trade-offs responsibly, with safeguards such as human-in-the-loop systems. Adopt a mindset that embraces experimentation and responsible product design.
Generative AI models work probabilistically, generating outputs based on token probabilities rather than deterministic rules. This allows them to move beyond cookie-cutter logic, though they can still make mistakes. Structured problem solving requires careful system design, sufficient context, and techniques that allow models to "pause and think" before generating output.
Yes. We can provisionally hold your seat while you await HR or L&D approval. Please notify us so we can keep your spot secure.
Course completion certificate, A tax invoice (with GST details), Proof of payment and participation confirmation.

You can: Join our AMA session with lead instructor Vikash Rungta (date/time to be announced), Join the WhatsApp group for direct interaction with the Verix team and fellow participants, Attend office hours (details will be announced soon).

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