Building Smart Agents with Vertex AI Agent Builder & RAG Training Course
Vertex AI Agent Builder is a no-code/low-code environment designed for creating grounded agents that integrate generative models with retrieval-augmented generation (RAG). This enables teams to swiftly develop agents capable of providing accurate and context-aware responses by leveraging enterprise data and search capabilities.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level practitioners who aim to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies.
By the end of this training, participants will be able to:
- Design grounded agent workflows using Agent Builder.
- Implement RAG pipelines incorporating search and vector stores.
- Securely integrate enterprise data sources for effective retrieval.
- Evaluate and refine agent behavior through testing and performance metrics.
**Format of the Course:**
- Interactive lectures and discussions.
- Hands-on labs utilizing Vertex AI Agent Builder and RAG components.
- Project-based exercises to construct and enhance agents.
**Course Customization Options:**
- To request a customized training for government or other specific needs, please contact us to arrange.This course is available as onsite live training in US Government or online live training.
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Course Outline
Introduction to Agent Builder and RAG
- Overview of Agent Builder Capabilities for Government
- Fundamentals of RAG and Appropriate Use Cases for Government
- Use Cases and Success Stories for Government Applications
Setting Up the Environment
- Configuring Vertex AI Workspace for Government
- Connecting Search and Vector Stores for Government Data Sources
- Hands-on Lab: Preparing the Environment for Government Use
Designing Grounded Agent Workflows
- Defining Agent Goals and Conversation Flows for Government Scenarios
- Mapping Data Sources to Retrieval Strategies for Enhanced Government Operations
- Hands-on Lab: Building a Conversation Flow for Government Services
Implementing RAG Pipelines
- Indexing Documents and Embeddings for Government Datasets
- Retriever and Re-ranker Patterns for Government Applications
- Hands-on Lab: Creating a RAG Pipeline for Government Data
Integrations and Enterprise Data
- Secure Connectors to Internal Government Systems
- Data Governance and Access Controls for Government Compliance
- Hands-on Lab: Connecting Enterprise Data Sources for Government Use
Testing, Evaluation, and Iteration
- Prompt Testing and Evaluation Metrics for Government Standards
- User Simulation and Validation Strategies for Government Services
- Hands-on Lab: Evaluating and Tuning the Agent for Government Performance
Deployment, Monitoring, and Maintenance
- Deployment Options and Scaling Considerations for Government Operations
- Monitoring Performance, Relevance, and Drift in Government Applications
- Operational Playbooks for Updates and Rollback in Government Systems
Summary and Next Steps
Requirements
- Basic understanding of natural language processing
- Experience with cloud services and application programming interfaces (APIs)
- Familiarity with search and vector databases
Audience for Government
- Developers
- Solution architects
- Product managers
14 Hours
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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