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

Introduction to Agent Builder and RAG

• Overview of Agent Builder capabilities
• RAG fundamentals and when to use them
• Use cases and success stories

Setting Up the Environment

• Configuring Vertex AI workspace
• Connecting search and vector stores
• Hands-on lab: environment preparation

Designing Grounded Agent Workflows

• Defining agent goals and conversation flows
• Mapping data sources to retrieval strategies
• Hands-on lab: building a conversation flow

Implementing RAG Pipelines

• Indexing documents and embeddings
• Retriever and re-ranker patterns
• Hands-on lab: creating a RAG pipeline

Integrations and Enterprise Data

• Secure connectors to internal systems
• Data governance and access controls
• 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 drift
• Operational playbooks for updates and rollback

Summary and Next Steps