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Pragmatic field notes on AI agents, MLOps, cloud architecture, and engineering systems.
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Build a cost-effective, private AI Agent solution on Google Cloud using Chainlit and Vertex AI. Detailed architecture and code guide.
Build a personal AI assistant using Google Cloud Run, Vertex AI, and Google Chat. A guide to architecting context-aware agents.
AI agent platform architecture in 7 layers, from interaction and development to observability and trust: how to serve, secure, and monitor enterprise agents.
Power up your AI agent in production. Learn to deploy a secure ‘Slides Translator’ using ADK, OAuth, and Gemini Enterprise.
For decades, the story of data platforms has been one of centralization and heavy engineering.
Speed up AI agent development on GCP with Ackgent. Build, deploy, and iterate faster using Google ADK and Agent Config's declarative approach.
Learn to deploy AI agents in the enterprise using ADK & Google Cloud. We compare Cloud Run & Vertex AI for secure, scalable AgentOps.
Agentic Cloud: Disrupting cloud giants with AI. Learn how intelligent agents will commoditize hyperscalers & reshape infrastructure.
Navigate the challenges of scaling LLMs on GCP and get benchmark insights for cost-effective, reliable, and quick LLM serving.
Explore the shift from slow data pipelines to real-time API management for building Gen AI systems and modern enterprise data architecture.
Build & deploy a RAG app in minutes! Use Vertex AI Studio & Vertex AI Search for a rapid hackathon win. Ground LLMs with your data.
Kubeflow Pipelines (KFP) is a powerful platform for building machine learning pipelines at scale with Kubernetes.
