While AI and ML are increasingly prevalent in our daily lives, many developers still struggle to bridge the training gap that could introduce them to a world of possibilities. For one reason or another, they may not have a clear understanding of ML concepts.

The goal of this workshop is to open a window into the realm of Machine Learning, conveying the message that there is much more to it than the raw design of a model. From identifying a problem in a scenario to data collection, preprocessing, visualization, model selection, training, testing, and finally, deployment—each of these stages demands distinct and highly specialized expertise. And, let’s not kid ourselves, a touch of almost religious surrender (‘may it not overfit, may it not overfit!’).

Through this workshop, we aim to provide developers with an opportunity to explore the vast world of Machine Learning, shedding light on every phase of the process and culminating with the deployment of our model. In addition to imparting technical skills, we will emphasize the importance of a flexible and collaborative mindset to effectively tackle ML challenges.

Bonus Track: We’ll integrate our brand-new model with ChatGPT, creating a true conversational agent capable of solving problems simply through conversation. Better than your best friend.