Building Smart Agents with Vertex AI Agent Builder & RAG Training Course

Introduction to Agent Builder and RAG

• Comprehensive overview of Agent Builder capabilities.
• Fundamentals of RAG and applicable use scenarios.
• Real-world use cases and success stories.

Environment Setup

• Configuring the Vertex AI workspace.
• Establishing connections with search engines and vector stores.
• Hands-on lab: Preparing the environment.

Designing Grounded Agent Workflows

• Defining agent objectives and conversation flows.
• Aligning data sources with appropriate retrieval strategies.
• Hands-on lab: Developing a conversation flow.

Implementing RAG Pipelines

• Document indexing and embedding processes.
• Patterns for retrievers and re-rankers.
• Hands-on lab: Building a RAG pipeline.

Integrations and Enterprise Data

• Secure connectors for internal systems.
• Data governance protocols and access controls.
• Hands-on lab: Linking enterprise data sources.

Testing, Evaluation, and Iteration

• Prompt testing methodologies and evaluation metrics.
• User simulation techniques and validation strategies.
• Hands-on lab: Evaluating and tuning agent performance.

Deployment, Monitoring, and Maintenance

• Deployment options and scaling considerations.
• Monitoring performance metrics, relevance, and data drift.
• Operational playbooks for updates and rollback procedures.

Summary and Next Steps