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Course Outline
Foundations of AI Agents on Google Cloud
- Defining AI agents and distinguishing them from chatbots and conventional AI applications.
- Identifying common enterprise use cases for agent deployment.
- Surveying the Google Cloud services involved in agent development.
Designing Agent Architecture
- Exploring the core elements 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 foundational guardrails.
Building an Agent with Vertex AI and Gemini
- Configuring the Google Cloud environment for development purposes.
- Utilizing Vertex AI and Gemini models to construct a basic agent.
- Testing prompts, responses, and basic agent behaviors.
Connecting Agents to Tools and Data
- Implementing tool usage via APIs and function calling.
- Linking agents to business data to ensure grounded responses.
- Enhancing reliability, relevance, and overall response quality.
Deploying and Operating Agents
- Reviewing deployment strategies for agent solutions on Google Cloud.
- Monitoring, logging, and conducting basic performance evaluations.
- Addressing security, access control, and responsible AI considerations.
Practical Workshop and Next Steps
- Constructing a simple agent for a realistic business scenario.
- Evaluating design decisions and identifying areas for improvement.
- Planning subsequent steps for pilot projects and continued learning.
Requirements
- Fundamental knowledge of cloud computing principles and web applications.
- Proficiency with APIs, JSON, and Google Cloud services or comparable cloud platforms.
- Entry-level programming experience in Python, JavaScript, or other contemporary languages.
Target Audience
- Developers seeking to create AI agents on Google Cloud.
- Technical leads and solution architects investigating agent-based application architectures.
- Data and AI professionals looking to gain practical experience with Vertex AI agent capabilities.
7 Hours
