Standing out in the ever-growing tech community can feel like an uphill battle. Open source contributions not only amplify your skills and network but also unlock incredible opportunities—ranging from recognition to tangible rewards like bounties, cash prizes, internships, and more!

Did you know that there are over 9,000 active bounties on GitHub offering rewards from $10 to $1,000? Most people are unaware of how to discover and seize these opportunities.

Personal Success Stories:

1. I've contributed to renowned organizations like Jenkins, Checkstyle, and AsyncAPI.
2. My journey led me to an internship at Red Hat, showcasing how open source can directly influence career growth.
3. Through my contributions, I earned a $1500 reward from the Asyncapi Organisation [ IBM and Red Hat are both sponsor of this organisation.
4. Became a Maintainer and TSC of Asyncapi CLI and Selected as a Asyncapi Mentee 2024 and eligible for reward of $1500.

Beyond the rewards, the exponential learning and connections I've gained have been priceless.
Join this session to learn how to discover high-impact issues, strategies to contribute effectively, and how to turn your open-source journey into a launchpad for personal and professional growth!

👉 Check out my GitHub for some inspiration: github.com/AayushSaini101.

Explore how a fictional insurance company uses OpenShift AI to improve its claims processing. In this immersive experience, you will have the opportunity to deploy and work with different AI models while utilizing various features of OpenShift AI.

Key highlights of this workshop includes:
1. Exposure to Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
2. Image detection models to analyze and process claims data.
3. Hands-on deployment of an application that integrates these AI technologies for a cohesive business solution.

This workshop provides a glimpse into how AI/ML technologies can be applied to real-world business problems like insurance claim processing. Please note, while the models and techniques used in this lab are illustrative of a prototype, they are not designed for a production environment.