Rana Mumtaz

How to Build Agentic AI Products

Bird

Yahoo

Perforce Software

GoDaddy

Pendo

Product Executive & Advisor

Identify repetitive, multi-step, cognitively heavy workflows
focus on jobs that AI can now dramatically Improve

Start With the User & Their Pain

Agentic AI: 
Low -> Medium -> Full Autonomy

Pick the Right AI Solution

Prototype fast → Test with real users → Create evals → Ship an MVP
Measure: activation, frequency, task completion

Build the Right Way (Evals → Ship → Measure)

To start leading Agentic AI products, build your own systems, define metrics, scale responsibly and attain a durable competitive advantage

AI Lead-built early Agents @Google, Meta

Google

Microsoft

Amazon Web Services

Mahesh Yadav

20+ years exp., Ex-Google, Meta Research, AWS AI | 10k+ AI Alums

Cohort 8

Cohort 9

🚨Early Bird 25% Off is open till 11th April with code "EARLY25." We build a continuous learning program that never stops supporting! AI has affected all products and jobs, making AI skills essential for new opportunities. You need to learn from an expert who cares about outcomes &amp; shares freely. <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/initmahesh/">Mahesh </a>helped build the early distributed training systems in PyTorch used at OpenAI. At AWS AI, he shipped first Agentic AI frameworks &amp; led autonomous office agents for Google Cloud Platform (GCP). Learning continues after the course to help you crack interviews. Mahesh hosts weekly sessions even after the cohorts to help you stay on top of trends/tools with alums invited in all.How It Works<ul><li>21+ Live Sessions (6+ hrs/week): We believe in live classes with case studies to land concepts &amp; we take all your questions</li><li>Use world-class tools: (Google AI Studio, Claude code, n8n, OpenAI Agents, Microsoft Copilot Studio, AWS Flow, Azure Evaluator). You build &amp; ship production-ready agents with hands-on guidance from Mahesh.</li><li>Build AI Product Sense: Choosing right opportunities with AI tenets &gt; AI Roadmap with moat → Evaluation for AI agents → AI pricing GTM insights from startup+ FAANG exps. <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/team_maheshyadav/30min">BOOK A CALL</a></li></ul>

Learn Agentic AI Foundation to Master 9+ AI Tools & Build Your AI Prototype

Build a foundation of AI ecosystem, ML Concepts & Agentic AI Landscape

Finding and Translating business needs/opportunities into solvable AI problems

Address AI agent evaluations and deploy with responsible AI tenets 

Create a GenAI/Agentic AI Product Portfolio

Pitch preparation: Story, Metrics, Objection handling

Product Managers who want to pivot into AI or lead AI-native products &amp; those with some AI/ML exposure who want to master agentic systems.

Engineers or tech-leaders wanting to move into product strategy for AI. Those aiming for AI PM roles at top-tier companies &amp; AI startups.

Anyone who wants hands-on build + portfolio + interview readiness, not just theory.

Turn AI into your competitive advantage—automate, optimize, and lead smarter with agentic workflows.

Cohort 16

UC Berkeley Instructor | ex CIO & CPO 

UC Berkeley

James Gray

UC Berkeley AI Instructor | Former CIO/CPO | Trained 5,000+ Leaders

Cohort 15

Cohort 17

AI transformation starts with leaders who build, not just evaluate.You're approving AI initiatives you can't personally validate. Your team experiments with prompts but nobody designs repeatable workflows. You know AI should save time, but you can't quantify where or how much. Strategy decks pile up while execution stalls.In 4 weeks, using the Business-First AI Framework and your agentic builder stack, you'll:✅ Apply the Business-First AI Framework to discover your highest-impact workflows and build a living registry✅ Evaluate workflow architectures on the autonomy spectrum and map them to the seven agentic building blocks✅ Build reusable agent skills that capture your expertise for consistent, team-ready execution✅ Design deterministic and collaborative AI workflows powered by your skills✅ Become fluent with Claude Code, Cursor, and your full builder stack using plan mode and agentic coding✅ Deploy multi-agent autonomous systems that handle complex workflows This isn't theory — it's a hands-on builder methodology from training 5,000+ leaders at UC Berkeley and a decade at Microsoft. Rated 4.8/5. Intimate cohorts, 1:1 coaching, lifetime access. We build together — not lectures.

From AI User to Business-First AI Builder in 30 Days

Apply the Business-First AI Framework to your work

Evaluate AI workflow architectures to select the right pattern for each use case

Build reusable Agent Skills that turn expertise into AI workflows

Build deterministic and collaborative AI workflows powered by skills

Become fluent with your agentic AI builder stack

Build multi-agent autonomous systems for complex workflows

The course extensively utilizes AI assistants, such as ChatGPT, Claude, and Gemini. Some lessons are unique to these tools.

You have a paid subscription to one or more: ChatGPT, Claude, Gemini

The course does not require coding experience, but we will use AI code editors (Cursor/VS Code) to build and refine prompts

No coding experience

This cohort experience is for people who learn best in small groups and value personalized feedback from an experienced instructor.

Learning in a small, supportive cohort

Leaders and professionals who believe in “learning by doing” by using cutting-edge tools and building AI solutions&nbsp;hands-on.

Leaders who must understand the latest AI capabilities to&nbsp;drive an AI-powered business strategy credibly.

Professionals who must boost their AI technology acumen to strengthen collaboration and influence with technical stakeholders.

Learn how to use AI to accelerate customer discovery, validate solutions, and make better product decisions, without leaving your desk

Product Innovation & AI Trainer

Capital One

Cisco

Wesco

Valerio Zanini

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

Cohort 2

Cohort 3

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.Unfortunately, most AI courses for PMs focus on how to build AI-powered features. But PMs can benefit from AI practices regardless of the type of product they are building. This is the focus of this course: helping PMs expand the daily practice of product management and giving PMs super powers.Over two weeks, you’ll learn—by doing—how to use AI to accelerate discovery, synthesize insights, explore solutions, and support decisions, while understanding where AI helps and where it can mislead. This is a hands-on, instructor-led cohort for PMs who make real product decisions.Duration: 2 weeks (short, intensive, focused) + Graduation Demo dayFormat: Instructor-led cohort with 2 sessions per week (see schedule below)Between sessions: Hands-on individual assignments (to build the practical muscles)

Get AI super powers to grow in your PM job

Accelerate your Product Management job

Use AI to accelerate customer discovery

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

Understand when AI can accelerate insights

Expand solution space and prototype quickly with AI

Product Managers, Product Owners, Product Leaders, and entire product teams. Startup founders and product designers.

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

This course is not a beginner tutorial on ChatGPT. It's a deep-dive on how to use AI tools in product work.

Discover opportunities with AI → validate with interactive prototypes → design AI features → automate workflows → ship functional software

Product Design Leader

Payoneer

Anna Arteeva

Product Design Leader and AI educator

Product Leader

Julia Bastian

Product Lead - Innovation & GenAI, ex VP of Product at Alasco

Senior Solution Architect, MBA

Vlad Daskalov

MBA, Agentic AI advocate, Senior Solution Architect

Cohort 1

In an AI-accelerated product world PMs are expected to explore, ideate and validate ideas quickly, collaborate effectively with designer and developers whose roles are changing too.You'll learn from three experts with different backgrounds: Product, Design, and Engineering. This ensures you get deep insights into design and engineering topics while learning to navigate the change and bring your cross-functional partners along.<h3>What is covered:</h3><ul><li>AI for modern discovery and synthesis</li><li>Building apps and prototypes with prompt-to-code tools</li><li>Frontend basics</li><li>Essentials of app architecture: Backend, Frontend, Data, APIs</li><li>Working with existing assets: brand styles, design systems, open source code</li><li>Automation and integration with product workflow (Make, n8n, webhooks).</li><li>AI-powered functionality with integrated LLM, image and voice models</li><li>System prompts engineering basics for AI features</li><li>Analytics and idea validation so you can back up your prototypes with evidence.</li></ul>Then will talk about real hard topics<ul><li>cross-functional team collaboration</li><li>code hand over</li><li>work inside an existing codebase.</li></ul>

Learn the new PM stack: vibe-coding, automation, AI features, and code handover

AI-powered discovery and opportunity framing

Vibe-coding fundamentals and AI ecosystem

Frontend foundations and system architecture

Design systems and brand-consistent UI

Architecture, data, and automation

AI features, validation, and handover

You can clearly define problems, users, and desired outcomes

Product fundamentals

Familiarity with digital products and curiosity about how they work will help you get more out of the course.

No previous coding experience required

You should be comfortable with how digital products are planned, built, and shipped, and have working knowledge of the modern tech landscape

Understanding the tech company ecosystem

Product Managers, Owners, Researchers, Growth who want to become full-stack builders, validate ideas with confidence and iterate faster.

Non-developers across the organisation – sales, marketing, ops, GTM, finance, or HR – who want to build their own tools and experiments

Leaders in tech companies who want to make their teams more effective through AI coding, shape AI strategy, and sharpen workflows.