Cloud Hero: GenAI Search and Conversation
Overview
Embark on a journey into the realm of generative AI with this Cloud Hero game. You will delve into Vertex AI, a powerful platform that enables you to build and deploy cutting-edge AI models. Explore the capabilities of Gemini, a versatile model capable of analyzing diverse data formats, from text and images to audio and video. Learn how to efficiently build and deploy AI models using Vertex AI Studio, and gain insights into integrating search and embedding functionalities into your applications.
What You'll Learn
- Build and deploy cutting-edge AI models using Vertex AI
- Explore the capabilities of Gemini for analyzing diverse data formats from text and images to audio and video
- Build and deploy AI models efficiently using Vertex AI Studio
- Integrate search functionalities into applications using Vertex AI Agent Builder
- Understand and use embedding functionalities in applications
Who Should Attend
Someone who has general familiarity with Vertex AI, but is looking to incorporate Generative AI search, as well as multimodal functions into their applications
Prerequisites
Some prior experience with Vertex AI
Products Covered
Course Modules
Get Started with Vertex AI Studio
Topics
- Vertex AI Studio interface
- Model building workflows
- Deployment options
- Studio features and capabilities
Learning Outcomes
- Navigate Vertex AI Studio interface
- Build AI models using Studio tools
- Deploy models efficiently using Studio
Activities
Getting Started with the Vertex AI Gemini 1.5 Pro Model
Topics
- Gemini 1.5 Pro capabilities
- Multimodal data analysis
- Text, image, audio, and video processing
- Gemini API usage
Learning Outcomes
- Use Gemini 1.5 Pro model for diverse data analysis
- Process text, images, audio, and video with Gemini
- Leverage multimodal capabilities in applications
Activities
Integrate Search in Applications using Vertex AI Agent Builder
Topics
- Vertex AI Agent Builder overview
- Search integration patterns
- Building search-enabled applications
- Agent-based search functionality
Learning Outcomes
- Integrate search capabilities into applications
- Use Vertex AI Agent Builder for search functionality
- Build applications with intelligent search features
Activities
Introduction to Vertex AI Embeddings: Text and Multimodal
Topics
- Embedding concepts and fundamentals
- Text embeddings
- Multimodal embeddings
- Embedding use cases and applications
Learning Outcomes
- Understand embedding concepts and their applications
- Generate text embeddings using Vertex AI
- Create and use multimodal embeddings
- Integrate embeddings into applications
Activities
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- CH-GENAISEARC
- Duration
- 1 day
- Format
- On-Demand
- Level
- Introductory
- Modules
- 4
- Activities
- 4
- Price
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