Dive deep into Google Cloud's Vertex AI platform in this comprehensive workshop designed for developers and ML practitioners. Explore the full spectrum of generative AI development, from foundational concepts to advanced implementations.

Key topics covered:

Understanding Vertex AI's architecture and integration with Google Cloud services

Working with pre-trained foundation models like PaLM 2 and Gemini

Implementing prompt design strategies for optimal model performance

Fine-tuning models on custom datasets

Building responsible AI applications with built-in fairness and bias detection tools

Deploying and managing models at scale

Monitoring model performance and implementing feedback loops

Participants will gain hands-on experience through guided exercises, including:

Setting up a Vertex AI workspace

Creating and managing model endpoints

Developing conversational AI applications

Implementing multimodal solutions combining text, image, and code

Optimizing model serving for production environments

Prerequisites: Basic Python programming knowledge and familiarity with machine learning concepts. Prior experience with Google Cloud Platform is helpful but not required.