Building Smart Agents with Vertex AI Agent Builder & RAG Training Course
Vertex AI Agent Builder offers a no-code and low-code platform for developing grounded agents that merge generative models with retrieval-augmented generation (RAG). This capability enables teams to quickly construct agents that leverage enterprise data and search functionalities to deliver accurate, context-sensitive responses.
This instructor-led live training, available either online or onsite, targets intermediate practitioners aiming to design, configure, and deploy intelligent agents utilizing Vertex AI Agent Builder alongside RAG methodologies.
Upon completing this training, participants will be equipped to:
- Design grounded agent workflows using Agent Builder.
- Implement RAG pipelines incorporating search and vector stores.
- Securely integrate enterprise data sources for retrieval purposes.
- Evaluate and refine agent behavior through testing and key metrics.
Course Format
- Interactive lectures and discussions.
- Practical labs focused on Vertex AI Agent Builder and RAG components.
- Project-based exercises to construct and enhance agents.
Customization Options
- For customized training requirements, please contact us to arrange.
Course Outline
Introduction to Agent Builder and RAG
- Overview of Agent Builder capabilities.
- RAG fundamentals and appropriate use cases.
- Real-world use cases and success stories.
Setting Up the Environment
- Configuring the 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
Requirements
- Foundational understanding of natural language processing.
- Practical experience with cloud services and APIs.
- Familiarity with search and vector databases.
Target Audience
- Developers.
- Solution architects.
- Product managers.
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Building Smart Agents with Vertex AI Agent Builder & RAG Training Course - Enquiry
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