Migrate Enterprise-Grade Workloads to Cloud SQL for SQL Server
Explore new capabilities for managing SQL Server databases with Cloud SQL and minimize downtime during migration using Database Migration Service.
Unlocking Real-World LLM Use Cases - Techniques for Accurate Results
Explore real-world LLM applications, overcome limitations, and leverage techniques like RAG to ground results. Learn to bridge LLMs with enterprise Gen AI apps using vector-supported databases.
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.
End-to-End Modern Data Engineering with DBT and BigQuery
Master modern data engineering with DBT and BigQuery. Set up, link, transform data, convert tables to views, seed data, write tests, and generate documentation in this comprehensive tutorial.
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.
Petabyte-Scale Data Migrations to Google Cloud - Best Practices and Case Study
Migrate petabyte-scale data pipelines to Google Cloud, optimizing performance and reducing costs. Learn from Globo's experience in handling massive concurrent users for major events.
Confidential Computing: Advances in Secure Data Collaboration
Explore confidential computing advances for secure data collaboration, ML model protection, and privacy-preserving analytics in trusted execution environments.
Industry-Leading Availability and Performance for MySQL Workloads on Cloud SQL
Optimize MySQL workloads with Cloud SQL's enhanced availability, performance, and management capabilities for enterprise-grade applications.
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.
Deploying JavaScript Frameworks to Cloud Run
Deploy popular JavaScript frameworks to Google Cloud Run quickly and efficiently, demonstrating versatility and ease of use across the ecosystem.
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.
Boost Performance of Go Applications with Profile-Guided Optimization
Optimize Go applications using profile-guided techniques. Learn runtime profiling, compiler optimization, and performance measurement on Google Cloud and beyond.
Building Generative AI Agents with Vertex AI Agent Builder and Flutter
Supercharge generative AI development with Vertex AI and Flutter. Integrate pre-built components, accelerate prototyping, and deploy production-grade AI agents in your apps seamlessly.
Tune and Deploy Gemini with Vertex AI and Ground with Cloud Databases
Master Gemini Pro's lifecycle: train on custom datasets, fine-tune, deploy scalable endpoints, evaluate models, and ground with Google Cloud databases for optimal AI performance.
Accelerate Building AI Applications with Cloud Run
Develop and deploy AI applications using Gemini API, Vertex AI, and Cloud Run. Learn auto-scaling, function calling, and video processing with Google's serverless platform.
What's New in Google Cloud and Google Workspace
Discover the latest tools and updates for developers to enhance productivity and capabilities on Google Cloud and Workspace platforms.