Every AI developer hopes to move past creating standalone demo chatbots and integrate this technology into the core systems that power organizations.
This is the evolution many of our graduates experience, demonstrating how the practical, production-focused skills from Udacity’s Generative AI Nanodegree program can transform complex enterprise systems from within.
For Karlos Morais, that evolution turned into a full-blown business idea.
“I applied the skills learned in the Generative AI Nanodegree program to build AgentERP, an AI layer designed on top of a full ERP backbone for small and medium businesses. Instead of creating a standalone chatbot, I integrated Generative AI directly into core operational modules, Purchases, Inventory, Finance, and Billing, transforming the ERP into an intelligent agent capable of understanding context, predicting needs, and automating workflows.
Using techniques such as retrieval augmented generation, tool use orchestration, and structured reasoning, AgentERP can read transactional data, identify operational bottlenecks, generate actionable insights, and even execute tasks that traditionally require human intervention. What began as a program exercise evolved into a publicly shareable prototype that demonstrates how GenAI can augment real business systems, not just interact with them.
The project has reshaped my perspective on product design with AI and positioned me to expand AgentERP into a fully operational AI native management platform.”
— Karlos Morais (Fortaleza, Brazil)
Karlos didn't just teach an LLM to talk; he engineered it to act within a complex business environment. He mastered RAG, tool-use orchestration, and structured output—all key implementation patterns covered in the Udacity program.
Peter Johnson applied a similar, high-leverage approach to Quality Engineering at his organization:
“I used what I learned in the Generative AI Nanodegree program to overhaul how we handle test failure triage in a large engineering setup. We run a huge number of automated tests, and engineers were spending far too long digging through logs to figure out what actually went wrong. I built an AI-driven workflow that pulls out the key details from failures, groups similar issues together, and points to the most likely root cause. It’s made triage much quicker, far less manual, and has had a real impact on how efficiently teams can move. It also showed how GenAI can be used in a very practical, hands-on way to improve quality engineering.”
— Peter Johnson (United Kingdom)
Ready to Build Production-Grade AI?
The Generative AI Nanodegree program is Udacity's hottest course of the last two years has been updated, again, to help learners thrive in the AI economy and forge futures in tech.
This program equips developers to deploy reliable generative AI solutions. We'll move past theory and focus on the proven implementation patterns you need.
You'll master production essentials like model selection, cost estimation, and reliable prompt engineering to build efficient apps. You'll also implement lightweight model adaptation using PEFT.
Then, you'll build end-to-end RAG systems, using vector databases to connect LLMs to your data and evaluate quality with frameworks like RAGAs.
Finally, you'll dive into advanced multimodal applications that process text, images, and audio. You'll enforce structured outputs with Pydantic and implement system observability to build, trace, and debug modern AI apps.
Click here to get started today.
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