Introduction to Generative AI Studio - Prototyping and Customizing Models on Vertex AI
Prototype and customize generative AI models using Vertex AI's Generative AI Studio. Learn about language, vision, speech, prompt design, and model tuning.
Vertex AI Embeddings API and Matching Engine - Grounding LLMs for Enterprise Use
Explore grounding LLMs using Vertex AI Embeddings API and Matching Engine. Learn key concepts for building reliable generative AI services in enterprise environments.
Connecting Data Sources with AI for Strategic Decision-Making
Explore how Google Cloud's AI integrates multiple data sources for rich analysis, empowering businesses with strategic, data-driven decision-making capabilities.
Getting Started with Gemini on Vertex AI
Explore Gemini on Vertex AI: Learn tools, techniques, and evaluation methods for building with foundation models in this introductory workshop.
Vertex AI Networking Patterns - Private Service Connect and Google APIs Demo
Explore Vertex AI networking patterns, focusing on Private Service Connect for Google APIs and Private Google Access. Includes a demo of private connectivity to generative AI language in Vertex Studio.
Generative AI Application Development Best Practices with Cloud SQL for PostgreSQL
Unlock PostgreSQL best practices for app development, covering GKE deployments, pgvector for Gen AI, performance optimization, and observability strategies.
Scaling Data and AI to Increase Player Engagement and Satisfaction at Square Enix
Explore Square Enix's Single Gamer View solution, leveraging GCP for data management and AI to enhance player engagement across major game titles.
Accelerating Model Deployment with MLOps - Google Cloud Technical Guide for Startups
Explore MLOps on Google Cloud to accelerate model deployment. Learn about challenges, solutions, and tools like Vertex Pipelines, Model Registry, and Model Monitoring through demos and customer success stories.
Jumpstart Your AI/ML Program with Vertex AI Model Garden
Explore Vertex AI Model Garden to easily deploy and manage state-of-the-art AI models, transforming your startup with minimal coding and effort.
Perfect Voice Applications with Chirp and Speech Fine-Tuning
Leverage Vertex AI and Chirp to perfect speech recognition for your applications. Learn to fine-tune models with in-domain data for optimal voice interactions.
Build Extensions and Extension-Powered Applications with Vertex AI
Explore building extensions and applications with Vertex AI, connecting LLMs to APIs for enhanced real-time data and actions in enterprise environments.
Connecting Gemini to Real-World Data Using LangChain's Open-Source Capabilities
Explore LangChain's integration with Vertex AI to connect LLMs to external data and APIs. Enhance natural language interactions, automate complex workflows, and create powerful chatbots using real-time data.
Vertex AI: Gemini Pro Multimodal Chatbot - Creating Conversational AI with Python SDK
Create a conversational multimodal chatbot using Vertex AI, Gemini Pro 1.5, and Python SDK. Learn to implement advanced AI capabilities for interactive and visual-based conversations.
Creating a Service Account in Google Cloud for Machine Learning API Access
Aprenda a crear una cuenta de servicio en Google Cloud para acceder a APIs y servicios de GCP desde su aplicación.
Google AI Studio and Gemini API Python SDK
Explore Google AI Studio and Gemini API using Python SDK. Access Gemini and Gemini Pro Vision programmatically for advanced AI applications.
Multimodal Prompts with Gemini Pro 1.5 in Google Vertex AI
Explore multimodal prompts with Gemini Pro 1.5 in Google Vertex AI using Python SDK. Learn to integrate text and visual inputs for advanced machine learning applications.
Fine-Tuning Gemini 1.0 Pro for Text Classification in Vertex AI
Fine-tune Gemini Pro 1.0 for text classification using Google Vertex AI's UI and Python SDK. Learn advanced machine learning techniques for improved model performance.
Build AI Quickly, Collaboratively, and Confidently with Colab Using Vertex AI
Accelerate AI development using Vertex AI on Colab: enhance productivity, collaboration, and operate confidently at scale with robust security and compliance.
Vertex AI Gemini: Model Selection and Prompt Design Principles and Strategies
Master Vertex AI Gemini model selection and prompt design. Learn to map capabilities to use cases, craft effective prompts, and implement robust engineering strategies.
Grounding for Gemini with Vertex AI Search and DIY RAG
Integrate Gemini, multimodal embeddings, and vector search to build a production-ready RAG system for enhanced generative AI grounding.
Building a Web Application with Gemini on Google Cloud - Hands-on Workshop
Build a Python Flask app on Google Cloud using Gemini Cloud Assist for AI-powered code generation, understanding, and deployment on Serverless.