Google

Walmart

Gallup

UCLA

University of Minnesota

Hamza Farooq

Founder | Ex-Google & Walmart Labs |Adjunct UCLA & UMN, SCU | Venture Partner

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Self Paced 2024-01

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Self-paced cohort

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This is your go-to resource for the most common questions about Claude Code. These are real questions asked during the lightning lesson, with clear answers to nearly every confusion people encounter while working with Claude Code.

Claude Code FAQs for AI Builders

AI development tools are evolving quickly, but many teams still rely on rigid no-code builders that limit flexibility once products grow more complex. This matters because product managers increasingly need the ability to move from idea to working prototype instantly, without waiting on engineering resources. Claude Code unlocks a new workflow where PMs can generate, test, and iterate in real time.

Claude Code Masterclass for Product Managers

Claude Code Masterclass for AI Developers

Claude Code is evolving beyond simple autocomplete into an agentic terminal tool that navigates, tests, and refactors codebases while remaining under human control. The system, which can autonomously run and iterate on code, represents a shift from chatbot assistants to active engineering agents within the CLI. 2,000+ people joined us live and asked questions. We collated the top 22 ones — answered here, from the context of the session.

Claude Code F.A.Q.s

We are open sourcing our entire code we used to build Claude Code Course and Workshop!

Claude Code Github

Over the past two years, we’ve had the privilege of reviewing over 500 project submissions from our community, across the world. The creativity, effort, and innovation poured into these projects have been incredible to witness. We’re excited to showcase some of the most loved projects—the ones that sparked the most learning, collaboration, and inspiration. Best part? Every single project is open source with full code and repositories available, so you can dive in, explore how they were built, and even contribute to make them better.

Pantheon: Sharing our best projects!

If you're curious about building the next generation of AI Agents and want to master how RAG systems, multi-agent frameworks, and LLMs are transforming the way we build, then this course is for you. Over the next 7 days, I'll walk you through how developers, researchers, and teams are going beyond basic tools and building production-grade, low-latency, and secure AI solutions—and how you can do it too.

🚀 Join Me for a 7-Day Journey into AI Agents & LLM-Powered Applications

Are you thinking of how to transform your organization into the next era of Gen AI and looking for some hands-on-experience in developing strategies for real AI Startups? Join us as we take you through this immersive course.

LLMs for Leaders and Product Managers

this course with a focus on production and LLMs is designed to equip students with practical skills necessary to build and deploy machine learning models in real-world settings. Be part of the first 20 people cohort. More in email link..

Building LLM Applications from Scratch

Your team is drowning in AI Pilots that never ship

Founder | Ex-Google | Prof UCLA & UMN 

Founder Traversaal.ai | Adjunct Professor | 15+ years | Google | Stanford | UCLA

AI Product Builder | Startup Advisor

Aishwarya Ashok

Claude Code: Ship Your First Production AI Agent in 4 Hours

AI Engineer

Strategic Partnerships

Entrepreneur

Cinematographer | EP

Director

Learn to turn ideas into real products with Claude Code, generate PRDs, build MVPs, orchestrate agents, and ship deployable AI applications.

Founder | Ex-Google | Adjunct UCLA & UMN, SCU | Venture Partner

Claude Code in Practice

Head of Operations | Product Manager

Inclusive Designer 

Product

AutoCAD Draftsman

Product Manager

Master the what, why, and how of Generative AI by building Enterprise-Grade Agents that go beyond the basics and actually move the needle

Ex-Google | Prof UCLA & UMN | Founder

Founder | Ex-Google |
Adjunct UCLA & UMN, SCU | Venture Partner

Welcome to the ever evolving top-rated OG course of Maven. 3 years, 15+ cohorts, thousands of students, and a proven record of turning strategy into execution. Once you enroll, you're enrolled for life. Receive all course updates, join any class!💡 WHAT YOU’LL LEARN<ul><li>Identify high-value use cases that deliver measurable ROI</li><li>Design, evaluate, and deploy production-ready AI agents and lead AI initiatives with confidence.</li></ul>🚀 NEW IN THE 2026 CURRICULUM<ul><li>AI agent evaluation frameworks used in real production systems</li><li>Hands-on Claude Code workshops for building AI-powered applications</li><li>Advanced multi-agent orchestration patterns</li></ul>🤖 THE CAPSTONE EXPERIENCEYou won’t just learn, you’ll launch working AI agents.Prototype → Scale → Deploy<ul><li>No-code agent prototypes</li><li>Production-grade AI applications &amp; agents</li></ul>✨ WHY THIS COURSE?From our work with Fortune 100 companies, we’ve seen the gap: companies know AI matters but struggle to move beyond strategy decks or prototypes.This course bridges that gap—equipping PMs, tech leaders, and professionals with the skills to build AI products that deliver real impact while also developing portfolios that help them stand out or transition into AI.

Build and Deploy Actual AI Agents that Drive Real Business Impact

Deploy Your First Production Agent in 7 Weeks (with enterprise grade template)

Build NoCode AI Agents That Handle Real Business Workflows

Build AI Applications with Claude Code

Evaluate and debug AI agents with production-grade frameworks

Deploy AI Systems with Enterprise-Grade Safety and Scalability

Present and Defend Your AI Solution to Stakeholders

If you have never written code before, no worries. We’ll give all the support and everything you will need.

Just be willing to learn, we'll take care of the rest

Product Managers&nbsp;looking to integrate AI into their roadmaps and communicate with stakeholders confidently.

Business &amp; Non-Technical Leaders. Executives and consultants who need to translate AI into business value and strategy.

Job Seekers &amp; Career Builders.&nbsp;Professionals aiming to create standout portfolio projects and pivot into AI roles.

Master Advanced Techniques for Building and Optimizing Agentic RAG Systems and Multi-Agent Workflows — Designed for Builders

Founder | Ex-Google | Prof UCLA & UMN

Stanford Continuing Studies

Staff AI @Together AI  | Founder

Coursera

Together AI

University of Toronto

Weaviate AI Database

DeepLearning.AI

Zain Hasan

Staff AI/ML Engineer (DX) @ Together AI | AI Educator & Researcher | Founder

<h1>🧠 Masterclass in Agentic RAG &amp; Multi-Agent Deployment</h1>A 7-week technical deep dive for AI builders ready to design agent systems that reason, route, and adapt.7 instructor-led sessions · 7 office hours · 1 Demo Day<h2>What You'll Build</h2>1. Agentic RAG with Routers Master stateful RAG with intelligent routing, reflection, memory, and multi-hop search strategies beyond naive cosine similarity.2. Hosting &amp; Quantizing LLMs: Deploy production-grade models using GPTQ/GGUF quantization via Ollama (local) and RunPod (cloud) with FastAPI and auto-scaling.3. Semantic Caching: Build cache layers from scratch using vector proximity and feedback loops to reduce latency and costs.4. Knowledge Graphs Implement graph-based memory with text-to-Cypher generation using Neo4j/Memgraph and DSPy for structured reasoning.5. ReAct Agents Create Reason+Act pipelines in Python and n8n for human-in-the-loop workflows with visual orchestration.6. Production Deployment Ship multi-agent systems using Google's ADK, MCP, A2A collaboration, Llama Guard safety rails, and GCP monitoring.Prerequisites: RAG/LLM experience, Python, APIs, cloud basics👉 This course is for builders who ship real AI.

The Agent Technical Course: Build and Deploy Production-Grade Gen AI Products

Build Production-Grade Agentic RAG Systems

Deploy & Optimize LLMs at Scale

Implement Semantic Caching to Reduce Costs by 40%+

Create Knowledge Graph Memory Systems

Ship Multi-Agent Collaboration Systems

Machine Learning Engineer exploring different techniques to scale LLM solutions

Researcher, who would like to delve in to various aspects of open-source LLMs

Software Engineer, looking to learn how to integrate AI into their products

AI has changed how products get built. Tools like Claude Code are reshaping the product development life cycle in ways most of us are still catching up with.You probably have ideas. You see what these tools can do. But turning an idea into something real, a working product that runs, deploys, and can actually be used, can still feel overwhelming.The most exciting shift is that anyone today can go from idea to PRD to working prototype in minutes. That's a massive change in how products come to life.This course exists to help you take advantage of that shift.Instead of spending weeks watching videos, you'll build alongside us. You'll take an idea, turn it into a PRD, generate an MVP, orchestrate AI agents, and deploy real-world use case products.You won't just learn how to use Claude Code. You'll use it to build real products.🎯 Week 1: Turn idea to PRD into an MVP🎯 Week 2: Build your own marketing agency using sub-agents, and multi-agent orchestration🎯 Week 3: Evaluations 🎯 Week 4: Demo Day!By the end, you'll know how to go from idea to requirements to prototype to deployable product using AI-native workflows, and you'll leave with multiple working products you built yourself. 🚀

Turn ideas into deployed products using Claude Code, build 6 real applications 

Turn Ideas into Working Products

Build and Deploy Real Prototypes

Create Multi-Agent Workflows

Use MCP Connectors to Extend AI Apps

Build and Launch a YC-Style Product

Graduate with a Portfolio of Shipped Projects

Just be willing to learn, we will take care of the rest

Curiosity and openness

Product Managers &amp; Product Leaders who want to go beyond writing specs and start turning ideas into products using AI-native development.

Developers &amp; Builders who want to move faster with tools like Claude Code and build real prototypes, agents, and deployable AI applications.

Entrepreneurs &amp; Founders who want to validate ideas quickly, build MVPs, and launch solutions without waiting on long development cycles.

Every enterprise has a graveyard of AI experiments. The ChatGPT wrapper that got demoed once. The automation that worked in the proof of concept and broke in week two. The vendor who swore it was production-ready until it wasn’t. The problem isn’t the technology. It’s that nobody taught your team how to design, evaluate, and deploy an AI agent — and most people don’t know what they don’t know until something breaks in front of a customer. Most workshops give you a framework. Most vendors give you a demo. Neither gives you the thing you actually need: a system that works reliably, that you can hand to your team, and that you can hold accountable when it doesn’t.What’s missing isn’t more tools. It’s the production mindset. In this 4-hour workshop, you’ll design your first production AI agent from scratch — pick the right use case, map the workflow, write your ground truth, and build a 30-day rollout plan. No coding required. You’ll leave with a complete agent blueprint your team can act on Monday morning. This isn’t a lecture. It’s a build session. Bring your laptop, your messiest workflow problem, and one real use case from your team.

Master AI strategy, agents, and execution, transform from passive observer to confident leader driving high impact AI decisions in your org.

Identify and prioritize the right AI use case to build

Design a production-ready AI agent blueprint

Think in systems, not demos or tools

Evaluate AI systems with clear, measurable standards

Plan and execute a real-world AI rollout

Drive adoption and accountability inside your organization

Enterprise PMs and product leads who’ve been handed the AI mandate but don’t know where to start. You’ve seen demos. You need a process.

Non-technical operators and team leads who know AI can save their team 10 hours a week but can’t figure out which use case to start with.

Executives and directors who are tired of hearing “it’s almost ready”. You want to evaluate and know whether it’s actually production-grade.

The Multi-Agent Team to Build Full Stack Products

AI Product Builder | Podcaster, The Founder’s Foyer | Startup Advisor

Explore what it means to have an Multi-Agent Team

Introducing Multi-Agent Teams

Watch live demo where we turn raw content into a functional website by prompting Claude Code, showing how PMs can use it

Go from Idea to Working Product in Minutes

Walk through a multi-agent ecosystem to build a YC product from scratch

Build full stack application with Analytics

v0 Masterclass: Go from Idea to Live AI App in Production

Mirza Rahim Baig

Team Lead @Zalando | AI Educator | Author | Startup Mentor

Explore the kinds of real products you can generate, from landing pages and AI chat interfaces to dashboards

⚡ What You Can Actually Build with v0

Watch a live demo where we turn a rough idea into a polished, shareable web app, refine the UX through prompting

⚡ Go from Prompt to Deployed App in Minutes

Understand where v0 shines, when tools like Cursor or Lovable make more sense, and how to combine them to move faster

⚡ When to Use v0 vs Other AI Coding Tools

Claude Code: A Practitioner's Guide to building Multi-Agents

Explore the range of real products Claude Code can generate from websites and tools

What Claude Code Can Actually Build

Understand when platforms like no-code builders are enough and when Claude Code becomes the better choice

When to Use Claude Code vs Lovable vs OpenClaw

Founder & Adjunct Professor | 15+ years | Google | Stanford | UCLA

Gabriela de Queiroz

Ex-Microsoft & IBM AI leader | AI Advisor for Startups

Explore the range of real products Claude Code can generate from websites and tools to functional prototypes

Part 3: Building Robust Evaluations for AI Agents

Identify success metrics for agent reasoning, actions, and outcomes—going far beyond simple accuracy scores.

Define What “Good” Looks Like for AI Agents

Build task-based, behavioral, and regression-style evals that reflect how agents actually operate in production.

Design Practical, Real-World Agent Evaluations

Apply eval results to debug failures, compare agent versions, and iterate safely without breaking existing behavior.

Hamza Farooq will transform you into an AI Product Developer

Hamza Farooq

About Hamza

Courses

Agentic AI for Product Managers

Agent Engineering Bootcamp: Developers Edition

Claude Code in Practice

Workshops

Claude Code: Ship Your First Production AI Agent in 4 Hours

Lightning Lessons

The Multi-Agent Team to Build Full Stack Products

v0 Masterclass: Go from Idea to Live AI App in Production

Claude Code: A Practitioner's Guide to building Multi-Agents

Claude Code Masterclass for AI Developers

Claude Code Masterclass for Product Managers

Part 3: Building Robust Evaluations for AI Agents

Resources

Claude Code FAQs for AI Builders

Claude Code Masterclass for Product Managers

Claude Code Masterclass for AI Developers

Claude Code F.A.Q.s