Hands-on-lab: It's all about going hands-on with Generative AI!
summary
Live demos show Java calling Google Cloud AI via LangChain4J and Vertex AI, using Gemini Pro for multimodal chat and image captioning and running open weight Gemma (2B/7B) locally on CPU and on GKE with TGI backed by GPUs. Code examples compile and the Java client returns chat and image descriptions; local CPU run streams tokens slowly, GKE+GPUs serve full responses. Attendees get $300 credit accounts and codelabs to reproduce the demos.
AI-written summary · about
chapters (7)
- 0:00Introduction and setup
- 1:52AI and LLM fundamentals
- 12:47Google Cloud AI tools
- 21:24Gemini deep dive
- 27:13LLMs on Kubernetes
- 34:00L chain for Java
- 39:03Hands-on lab resources
related talks
02h 44mUsing Generative AI with Java: Beyond Simple Chatbots
01h 45mAI Engineering with the Google Gemini 2.5 Model Family
07mServerless: Accelerate your AI
39mGetting Started with GenAI for Android Apps
02h 49mJava meets AI: Build LLM-Powered Apps with LangChain4j
01h 34mHands-on AI workshop: Multimodal agents
08mAI-Powered transformation: Driving innovation and reshaping organizations
30mGenAI on Android with Gemini Nano and Firebase