Deploy Llama 3 with Vertex AI Model Garden

Deploying modern large language models requires a practical understanding of managed cloud infrastructure, model registries, and endpoint configuration. This text-based course guides you through the process of launching Llama 3 on Vertex AI Model Garden for reliable, real-time inference. What you'll learn: - Understand foundational terminology and concepts behind cloud-hosted language models - Navigate Model Garden to locate and configure open foundation models - Select appropriate compute hardware, machine types, and accelerators for model serving - Deploy Llama 3 to dedicated online prediction endpoints - Query your live endpoint using REST APIs and Python client code - Apply basic monitoring, cost optimization, and endpoint management techniques The reading begins with core architectural concepts before moving into step-by-step endpoint deployment, request formatting, and practical integration examples. Designed for developers, data practitioners, and cloud beginners, no prior machine learning operations experience is required. Start reading to master open-source model deployment on Vertex AI.