Mobile AI Development Practicum
We're building something practical here. Not a lecture series where you watch someone code on a screen. This is about getting your hands into real mobile projects that actually use AI features people want.
Starting September 2025, we're running an eight-month program where you'll work with experienced developers on actual client applications. Think of it as an extended internship, but you're building real products from week one.
How This Program Actually Works
We've structured this around how people really learn technical skills. Theory mixed with practice from day one, increasing complexity as you go.
Setup and Basic Architecture
First six weeks we focus on mobile development fundamentals and AI integration basics. You'll set up your development environment, understand our project workflow, and start contributing to a smaller internal tool. Nothing fancy yet, just making sure everyone's on the same page technically.
Client Application Development
Now we're into real client work. You'll join a team building a mobile app that uses machine learning for image recognition. Most of the architecture is already defined, but you're responsible for implementing features, testing edge cases, and handling user feedback iterations. This phase runs about ten weeks.
Complex AI Integration
Second project gets more challenging. You'll work on natural language processing features, handle larger datasets, and deal with performance optimization. By now you should be comfortable with the development cycle, so we're pushing the technical difficulty up several notches. Expect to spend three months here.
Independent Project Build
Final stretch. You'll either lead a small feature team or build an independent module with minimal supervision. We're still here for technical questions and code reviews, but the decision-making and implementation approach is mostly yours. This is where you prove you can actually do this work independently.
Who You'll Actually Work With
These are the developers who'll be reviewing your code, answering your questions, and generally making sure you don't disappear down technical rabbit holes. They're currently working on client projects, so they know what's actually relevant.
Tiberius Valemont
Tiberius has been building mobile apps since 2014 and started working with machine learning integration around 2019. He's not much for long explanations, but he's good at spotting why your code isn't working. Mostly handles iOS development and model optimization work.
Desmond Afolabi
Desmond came from a data science background before moving into mobile development. He handles most of our neural network implementations and helps debug when AI models behave unpredictably. Expect detailed technical feedback and occasional tangents about model architecture theory.
Questions People Usually Ask
We've organized these by where you'd typically be in your decision process. Skip to whichever section is relevant.