Model Garden is a model library that helps you discover, test, fine tune, and deploy models from Google and Google partners. This learning path provides practical experience in discovering and experimenting with a variety of models and APIs available in Model Garden and how to deploy them efficiently to Vertex AI Endpoints. You explore advanced endpoint features to enhance scalability and security and learn how models can be fine tuned to boost application performance.
This path is part of the curriculum to earn the Build with Vertex Technical Expert Badge. To earn your Technical Expert Badge you need to have a valid Professional Google Cloud Certification, earn the Skill Badge at the end of this path, and earn the other four Skill Badges to showcase your Build with Vertex AI skills.
You can earn the other Skill Badges needed at Build with Vertex AI: Working with Gemini, Build with Vertex AI: Generating, Editing, and Responding to Media, Build with Vertex AI: Building RAG Applications with Vertex AI, and Build with Vertex AI: Evaluating Model and Agent Performance.
Model Garden is a model library that helps you discover, test, and deploy models from Google and Google partners. Learn how to explore the available models and select the right ones for your use case. And how to deploy and interact...
Model tuning is an effective way to customize large models to your tasks. It's a key step to improve the model's quality and efficiency. Model tuning provides benefits such as higher quality results for your specific tasks and increased model...
Complete the Develop solutions using Model Garden APIs skill badge to demonstrate your ability to use Vertex AI Model Garden features when building gen AI solutions. You will use partner APIs such as Anthropic Claude ands Meta Llama, deploy and...