Master multi-agent systems with ADK: coordinator-worker, pipeline, and hierarchical patterns. Build a production research assistant that coordinates 6 specialized agents for comprehensive analysis.
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ADK Building Blocks: Tools, Memory, and State Management – Part 2 of 5
Deep dive into ADK building blocks: custom tools, memory patterns, and state management. Learn to build production-ready agents with database integration, conversation memory, and intelligent caching.
Read more →Google Agent Development Kit (ADK): Building Your First AI Agent – Part 1 of 5
Learn how to build production-ready AI agents with Google Agent Development Kit (ADK). This comprehensive tutorial covers architecture fundamentals, setup, and your first search assistant agent with C4 diagrams, code examples, and deployment strategies.
Read more →Mastering Google Cloud Platform: A Complete Architecture Guide for Enterprise Developers
Google Cloud Platform (GCP) provides a comprehensive suite of cloud computing services for enterprise developers. This guide covers the essential architecture patterns, services, and best practices that every developer needs to master for building production-grade applications on GCP. GCP Resource Hierarchy Understanding GCP’s resource hierarchy is fundamental to designing secure, manageable enterprise architectures. Resources are […]
Read more →MLOps Best Practices: Building Production Machine Learning Pipelines That Scale
Master MLOps practices for production machine learning systems. Learn data versioning, experiment tracking with MLflow, CI/CD for ML, model registry governance, and monitoring strategies for AWS, Azure, and GCP.
Read more →Mastering GKE: A Deep Dive into Google Kubernetes Engine for Production Workloads
Introduction: Google Kubernetes Engine represents the gold standard for managed Kubernetes, built on the same infrastructure that runs Google’s own containerized workloads at massive scale. This deep dive explores GKE’s enterprise capabilities—from Autopilot mode that eliminates node management to advanced features like workload identity, binary authorization, and multi-cluster service mesh. After deploying production Kubernetes clusters […]
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