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

Introduction to Agent Builder and RAG

• Overview of Agent Builder features and capabilities.
• Core principles of RAG and appropriate use cases.
• Real-world applications and success stories.

Environment Setup

• Configuring the Vertex AI workspace.
• Linking search and vector storage systems.
• Hands-on lab: Preparing the environment.

Designing Grounded Agent Workflows

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

Implementing RAG Pipelines

• Indexing documents and generating embeddings.
• Employing retriever and re-ranker patterns.
• Hands-on lab: Building a RAG pipeline.

Integrations and Enterprise Data

• Establishing secure connections to internal systems.
• Managing data governance and access controls.
• Hands-on lab: Connecting enterprise data sources.

Testing, Evaluation, and Iteration

• Prompt testing and analyzing evaluation metrics.
• Strategies for user simulation and validation.
• Hands-on lab: Evaluating and tuning the agent.

Deployment, Monitoring, and Maintenance

• Exploring deployment options and scaling considerations.
• Monitoring performance, relevance, and drift.
• Operational guides for updates and rollback procedures.

Summary and Next Steps