Building Smart Agents with Vertex AI Agent Builder & RAG Training Course
Vertex AI Agent Builder offers a no-code or low-code platform for developing grounded agents that merge generative models with retrieval-augmented generation (RAG). This enables teams to swiftly create agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.
This instructor-led, live training session (available online or on-site) is tailored for intermediate practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.
Upon completion of 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 behaviour through testing and performance metrics.
Course Format
- Interactive lectures and discussions.
- Practical labs utilising Vertex AI Agent Builder and RAG components.
- Project-based exercises to build and refine agents.
Customisation Options
- For a tailored training course, please contact us to arrange specifics.
Course Outline
Introduction to Agent Builder and RAG
- Overview of Agent Builder capabilities
- RAG fundamentals and applicable scenarios
- Use cases and success stories
Environment Setup
- Configuring the Vertex AI workspace
- Connecting search and vector stores
- Hands-on lab: environment preparation
Designing Grounded Agent Workflows
- Defining agent objectives 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 knowledge 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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