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Course Outline
Foundations of AI Agents on Google Cloud
- Defining AI agents and distinguishing them from chatbots and standard AI applications.
- Identifying common business use cases for agents within enterprise settings.
- An overview of the Google Cloud services employed in agent development.
Designing Agent Architecture
- Examining the core components of an agent: model, instructions, tools, memory, and workflow.
- Selecting the appropriate level of agent capability for specific business scenarios.
- Crafting effective instructions and establishing basic guardrails.
Building an Agent with Vertex AI and Gemini
- Setting up the Google Cloud environment for development tasks.
- Utilizing Vertex AI and Gemini models to create a foundational agent.
- Testing prompts, responses, and basic agent behaviors.
Connecting Agents to Tools and Data
- Enabling tool usage through APIs and function calling.
- Linking the agent to business data to ensure grounded responses.
- Enhancing reliability, relevance, and overall response quality.
Deploying and Operating Agents
- Exploring deployment options for agent solutions on Google Cloud.
- Implementing monitoring, logging, and basic evaluation of agent performance.
- Addressing security, access control, and responsible AI considerations.
Practical Workshop and Next Steps
- Constructing a simple agent for a realistic business use case.
- Evaluating design decisions and identifying areas for improvement.
- Planning next steps for pilot projects and continued professional learning.
Requirements
- A foundational understanding of cloud computing principles and web application architecture.
- Proficiency in APIs, JSON, and familiarity with Google Cloud services or comparable cloud platforms.
- Basic programming experience in Python, JavaScript, or another modern programming language.
Target Audience
- Developers seeking to build AI agents on Google Cloud.
- Technical leads and solution architects exploring agent-based application architectures.
- Data and AI professionals looking to gain practical experience with Vertex AI agent capabilities.
7 Hours
