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

Introduction to Agent Builder and RAG

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

Environment Setup

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

Designing Grounded Agent Workflows

• Defining agent objectives and conversation paths.
• Mapping data sources to retrieval strategies.
• Hands-on lab: Constructing a conversation flow.

Implementing RAG Pipelines

• Indexing documents and managing embeddings.
• Applying retriever and re-ranker patterns.
• Hands-on lab: Creating a RAG pipeline.

Integrations and Enterprise Data

• Secure connections to internal systems.
• Data governance and access control measures.
• Hands-on lab: Connecting enterprise data sources.

Testing, Evaluation, and Iteration

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

Deployment, Monitoring, and Maintenance

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

Summary and Next Steps