Outcomes | CS 224G: Building and Scaling LLM Applications

Career Paths

Where CS 224G Alumni Go

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Founded AI Companies

Multiple alumni have launched successful AI startups that raised from top-tier VCs including A*, Pear VC, and Y Combinator. Some projects have achieved successful Product Hunt launches.

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Top Accelerators

Projects from CS 224G have been accepted into StartX, Y Combinator, and other elite accelerator programs.

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Leading AI Labs

Alumni have gone on to work at OpenAI, Anthropic, Google, Meta, Cohere, and other frontier AI research organizations.

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Tech Giants

Many graduates now build AI products at Google, Meta, Apple, Microsoft, and other industry leaders.

Success Stories

Highlighted Story

Grove AI

$4.9M Seed

Founded by Tran Le & Sohit Gatiganti

Tran Le and Sohit Gatiganti formed into a team in CS 224G Winter 2024, working on applying Generative AI to problems in healthcare. They continued working together after the class, and later raised $4.9M in seed funding from top Silicon Valley VCs.

Grove AI uses generative AI to revolutionize clinical trial enrollment. Their voice-based AI agent, Grace, reduces enrollment time from weeks to minutes by conducting pre-screening calls and scheduling appointments. In just 8 months, Grove AI has deployed for 10+ life sciences enterprise customers, enabling 250,000+ participant interactions across 5 therapeutic areas.

250K+ Participant Interactions

10+ Enterprise Customers

Backed by: A* Pear VC Upfront Ventures Afore Capital LifeX Ventures

Read the TechCrunch feature

In Their Words

What Students Say

Hands down the best class I have taken at Stanford. It is the only class that actually prepares you for the real world of AI engineering, moving as fast as the industry itself.

The pace is incredible. You go from zero to a deployed, venture-backable product in 10 weeks. The guest speakers are the actual people building the tools we use.

If you want to build a startup, this is the place to be. The demo day exposure is unlike anything else, and you aren't just learning outdated theory—you are shipping code.

This was hands-down one of the most energizing and impactful classes at Stanford. The sprint format kept momentum high, forced us to ship early, and gave the whole quarter a real startup build cadence. The instructor support was exceptional—John and Jan consistently removed blockers and made sure we had real credits and real tools to build something meaningful.

I came in wanting to build real LLM-powered products, and this course delivered exactly that. John and Jan went above and beyond to get us access to pro models, API credits, and engineering guidance. That freedom and support made the project work feel ambitious, fun, and career-defining.

What I built in this class became the most valuable artifact on my resume. The course didn't just teach tools—it taught speed, ownership, iteration, and how to actually turn AI into products. John and Jan clearly cared about student success, not just grades.

The best part of the class was the culture: ship every two weeks, demo often, learn by doing, and build like it matters. It was motivating, immersive, and made me feel like I was working on something real, not a toy example. John and Jan made sure we always had what we needed to execute.

What You'll Learn

Skills That Matter

Technical Skills

Reasoning Models (o1/o3/R1) Agentic Architectures RAG & Context Engineering Prompt Optimization LLM Evaluation & Testing Multi-Agent Systems Voice AI Multimodal Applications Production Deployment Observability & Monitoring

Product & Business Skills

AI Product Development Sprint-Based Iteration Technical Pitching Demo Presentations Team Collaboration UX for AI Applications Investor Communication AI Safety & Ethics Regulatory Compliance Building Defensible Moats

Student Outcomes