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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
- Typical enterprise use cases for agent deployment
- Survey of Google Cloud services relevant to agent development
Architectural Design for Agents
- Essential agent elements: models, instructions, tools, memory, and workflow structures
- Selecting appropriate agent capabilities aligned with specific business scenarios
- Crafting effective instructions and establishing fundamental safety guidelines
Agent Development using Vertex AI and Gemini
- Configuring the Google Cloud environment for development tasks
- Leveraging Vertex AI and Gemini models to construct basic agent structures
- Evaluating prompts, outputs, and initial agent behaviors
Integrating Agents with Tools and Data
- Facilitating tool interaction through APIs and function calling mechanisms
- Linking agents to business datasets to ensure grounded and accurate responses
- Enhancing consistency, relevance, and overall response quality
Deployment and Operations of Agents
- Various deployment strategies for agent solutions on Google Cloud
- Performance monitoring, logging, and fundamental evaluation techniques
- Addressing security, access management, and responsible AI practices
Applied Workshop and Future Steps
- Constructing a basic agent for a realistic business scenario
- Analyzing design decisions and identifying areas for enhancement
- Formulating a roadmap for pilot initiatives and continued professional development
Requirements
- Foundational knowledge of cloud computing principles and web application development
- Proficiency with APIs, JSON, and Google Cloud services or comparable cloud platforms
- Entry-level programming experience in Python, JavaScript, or similar contemporary languages
Intended Audience
- Developers aiming to create AI agents on Google Cloud
- Technical leads and solution architects investigating agent-based application architectures
- Data and AI specialists seeking practical proficiency with Vertex AI agent features
7 Hours
