Meet the Google Experts Behind Udemy’s Google AI Courses

If you’ve started working through any of our Google AI courses, you’ve already spent time with them on screen. But who are the people actually teaching you how to get more out of Gemini, Gemini Notebook, and AI Studio? We asked around, and here’s a quick introduction to some of the practitioners behind the content.

Yul Kwon | VP, Google

Yul leads a research team focused on understanding the fundamental building blocks of intelligence – which makes him well placed to teach how to use Gemini as a genuine creative and strategic partner, not just a task-doer. In his course content, he walks through using AI as a “devil’s advocate” to pressure-test ideas before they become expensive mistakes.

Yul also shared a nice personal detail: his parents primarily speak Korean while he mostly speaks English, and he’s found that large language models can do a genuinely better job than older translation tools at capturing tone and intent – not just words – when they talk.

He’s also passed along tips to friends navigating big moments: when a friend was preparing for a job interview, Yul suggested they try Gemini’s Deep Research feature – which pulled together a briefing on the company, likely interview questions, and draft answers, helping his friend ace the interview.

His favorite underrated AI feature: translation that captures tone and spirit, not just literal words.

Ammaar Reshi | Product Lead, Google AI Studio

Ammaar leads product and design for Google AI Studio, the platform learners use to build their own AI-powered apps – which makes him the person best placed to teach “vibe coding.” His enthusiasm is contagious: he compares this moment in AI to the first time he held a smartphone, and says AI has “unleashed” his own creativity for side projects like books, animated shorts, and even podcasts featuring figures from history.

Ask him to explain vibe coding simply, and he keeps it refreshingly low-key: imagine describing an app idea in plain language and never having to write a line of code yourself – that’s genuinely where things are now.

His favorite thing about AI Studio: you can chain multiple AI models together – image, video, story – just by describing your idea in plain language.

Owen Millard | Product Marketing Manager, Google

Owen works on product launches and reporting, and his course content is full of the kind of practical, “I use this literally every week” tips that make AI feel less abstract. 

He’s found that AI lets him work with data in a genuinely new way – he can now dig into open-text survey responses as a genuine source of insight, not just the multiple-choice data he’d typically focus on.

His go-to AI habit: using Gemini Notebook’s audio overview feature to turn long research reports into something he can listen to while walking, rather than reading at his desk.

Mahi Kolla | Associate Product Manager, Google DeepMind

Mahi teaches some of the most hands-on prompting sessions across the courses, and her favorite trick is a simple one: ending prompts with “please ask me any follow-up or clarifying questions before you continue.” It’s a small habit that saves a lot of back-and-forth once you’re relying on AI for bigger, multi-step tasks.

Her advice if you get a bad response from Gemini: give it a thumbs down – and be specific about what you expected instead. That feedback genuinely shapes future improvements.

Clara de Soto | Product Marketing Manager, Gemini

Clara guides learners through some of the most immediately useful parts of the course content – from turning meeting notes into action plans to tailoring the same message for different stakeholders to getting a second opinion on creative work before it goes out the door.

She works in product marketing on the Gemini team, and her sessions consistently focus on one theme: using Gemini to save time on the communication work that piles up around every project.

That’s a look at some of the people behind the courses – sharing how they use AI day to day, and a bit about themselves along the way. Ready to learn from them directly? Explore Google’s AI courses: