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Duration 7 hours
Course Outline
Foundations of AI Agents on Google Cloud
- Defining AI agents and distinguishing them from chatbots and standard AI applications.
- Exploring common enterprise business use cases for AI agents.
- An overview of the Google Cloud services employed in agent development.
Designing Agent Architecture
- Examining the core components of an agent: models, instructions, tools, memory, and workflow.
- Selecting the appropriate level of agent capability for specific business scenarios.
- Formulating effective instructions and establishing basic guardrails.
Building an Agent with Vertex AI and Gemini
- Configuring the Google Cloud environment for development.
- Creating a foundational agent using Vertex AI and Gemini models.
- Testing prompts, responses, and basic agent behaviors.
Integrating Agents with Tools and Data
- Enabling tool utilization through APIs and function calling.
- Linking agents to business data to ensure grounded and accurate responses.
- Enhancing reliability, relevance, and overall response quality.
Deploying and Operating Agents
- Evaluating deployment options for agent solutions on Google Cloud.
- Implementing monitoring, logging, and basic performance evaluation.
- Addressing security, access control, and responsible AI practices.
Practical Workshop and Future Directions
- Constructing a simple agent for a realistic business scenario.
- Assessing design decisions and identifying areas for improvement.
- Planning subsequent steps for pilot projects and continued learning.
Requirements
- A foundational understanding of cloud computing principles and web applications.
- Familiarity with APIs, JSON, and Google Cloud services or comparable cloud platforms.
- Basic programming proficiency in Python, JavaScript, or other contemporary languages.
Target Audience
- Developers aiming to construct AI agents on Google Cloud.
- Technical leads and solution architects investigating agent-based application architectures.
- Data and AI professionals seeking practical experience with Vertex AI’s agent capabilities.
