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Course Outline
Foundations of AI Agents on Google Cloud
- Understanding what AI agents are and how they differ from chatbots and standard AI applications.
- Exploring common business use cases for agents in enterprise settings.
- An overview of the Google Cloud services utilized in agent development.
Designing Agent Architecture
- Examining the core components of an agent: the 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 basic agent.
- Testing prompts, responses, and simple agent behaviors.
Connecting Agents to Tools and Data
- Enabling tool utilization through APIs and function calling.
- Linking the agent to business data to ensure grounded responses.
- Enhancing reliability, relevance, and the quality of responses.
Deploying and Operating Agents
- Reviewing deployment options for agent solutions on Google Cloud.
- Monitoring, logging, and conducting basic evaluations 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 choices and identifying opportunities for improvement.
- Planning next steps for pilot projects and continued learning.
Requirements
- A foundational understanding of cloud computing concepts and web applications.
- Proficiency with APIs, JSON, and Google Cloud services or comparable cloud platforms.
- Basic programming experience in Python, JavaScript, or another contemporary programming language.
Target Audience
- Developers aiming to build AI agents on Google Cloud.
- Technical leads and solution architects exploring agent-based application architectures.
- Data and AI practitioners seeking practical experience with Vertex AI’s agent capabilities.
7 Hours
