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課程簡介
Foundations of AI Agents on Google Cloud
- Defining AI agents and how they differ from chatbots and standard AI apps
- Common business use cases for agents in enterprise environments
- Overview of Google Cloud services for agent development
Designing Agent Architecture
- Core agent components: models, instructions, tools, memory, and workflows
- Selecting appropriate agent capabilities for business scenarios
- Writing effective instructions and setting basic guardrails
Building Agents with Vertex AI and Gemini
- Preparing the Google Cloud development environment
- Creating basic agents using Vertex AI and Gemini models
- Testing prompts, responses, and basic agent behavior
Connecting Agents to Tools and Data
- Enabling tool use via APIs and function calling
- Connecting agents to business data for grounded responses
- Enhancing reliability, relevance, and response quality
Deploying and Operating Agents
- Deployment options for agent solutions on Google Cloud
- Monitoring, logging, and evaluating agent performance
- Security, access control, and responsible AI considerations
Practical Workshop and Next Steps
- Building a simple agent for a realistic business use case
- Reviewing design choices and identifying improvement opportunities
- Planning pilot projects and further learning steps
最低要求
- Basic understanding of cloud computing concepts and web applications
- Familiarity with APIs, JSON, and Google Cloud or similar cloud platforms
- Basic programming experience in Python, JavaScript, or other modern languages
Target Audience
- Developers building AI agents on Google Cloud
- Technical leads and solution architects exploring agent-based applications
- Data and AI practitioners seeking practical experience with Vertex AI agent capabilities
7 小時
