How do you build next-generation applications that can see, hear, speak, and think? In the era of artificial intelligence, integrating smart models into your software is no longer a luxury, it is a superpower that can set your applications apart in any hackathon or real-world product launch.

In this Mini Bootcamp #Hacker Session 4, we will dive deep into the world of Google AI Models. You will learn how to integrate powerful tools like Gemini 3 models, Google OCR, Vision, Speech-to-Text, and Text-to-Speech into your workflow. We will also explore embedding models and introduce you to running powerful on-premise models like Gemma 4, giving you the complete toolkit to build highly intelligent, multimodal applications.

📅 Date: Thursday, 28 May 2026

⏰ Time: 19:30 – 21:30 WIB

🌐 Online via Google Meet: https://meet.google.com/sai-wmdb-bjc

🎤 Speaker: Aurelius Ivan Wijaya - Cursor & Heygen Ambassador

📌 Before the session, please read and follow the instructions in the guideline to ensure a smooth learning experience.

📕 Guideline : https://github.com/lanss-id/minibootcamp-day_4

💡 What you’ll learn:

• Integration with Gemini 3 Models for advanced text and multimodal generation

• Exploring vision capabilities and Google OCR to extract meaningful data from images

• Implement seamless audio communication using Speech-to-Text and Text-to-Speech (TTS)

• Learn how to work with embedding models for search and semantic similarity

• Get introduced to running on-premise models like Gemma 4 for secure, local AI deployment

👥 Who should join?

• Students and developers wanting to build next-level AI-powered applications

• Hackathon participants looking to leverage state-of-the-art AI APIs quickly

• Tech enthusiasts curious about multimodal AI and open-source models like Gemma

• Anyone interested in the practical, hands-on implementation of generative AI tools

🎫 Seats are limited — secure your spot early!

🎖️ SAT POINTS EXCLUSIVE FOR BINUSIAN

#MiniBootcamp #GenerativeAI #Gemini #Gemma #GDG #GDGoCBinusBandung #CampusTech