Building Smart Agents with Vertex AI Agent Builder & RAG Training Course
Vertex AI Agent Builder serves as a no-code and low-code platform designed for crafting grounded agents. It merges generative models with Retrieval-Augmented Generation (RAG) techniques, empowering teams to swiftly develop agents that leverage enterprise data and search capabilities to deliver precise, context-sensitive responses.
This live training session, conducted by an instructor and available online or onsite, targets intermediate-level professionals seeking to design, configure, and deploy smart agents utilizing Vertex AI Agent Builder alongside RAG methodologies.
Upon completion of this training, participants will gain the ability to:
- Design grounded agent workflows via Agent Builder.
- Establish RAG pipelines incorporating search and vector storage.
- Securely integrate enterprise data sources for effective retrieval.
- Assess and refine agent performance through testing and key metrics.
Course Format
- Engaging lectures and group discussions.
- Practical labs focusing on Vertex AI Agent Builder and RAG components.
- Project-based activities to construct and enhance agents.
Customization Options for the Course
- For bespoke training arrangements tailored to this course, kindly reach out to us.
Course Outline
Introduction to Agent Builder and RAG
- Survey of Agent Builder’s capabilities.
- Core principles of RAG and appropriate use cases.
- Real-world applications and success narratives.
Environment Setup
- Configuring the Vertex AI workspace.
- Linking search tools and vector stores.
- Practical lab: preparing the environment.
Designing Grounded Agent Workflows
- Establishing agent objectives and dialogue flows.
- Aligning data sources with retrieval strategies.
- Practical lab: constructing a dialogue flow.
Implementing RAG Pipelines
- Indexing documents and generating embeddings.
- Utilizing retriever and re-ranking patterns.
- Practical lab: building a RAG pipeline.
Integrations and Enterprise Data
- Secure connections to internal systems.
- Data governance and access control measures.
- Practical lab: linking enterprise data sources.
Testing, Evaluation, and Iteration
- Prompt testing and evaluation metrics.
- User simulation and validation strategies.
- Practical lab: assessing and fine-tuning the agent.
Deployment, Monitoring, and Maintenance
- Deployment strategies and scaling considerations.
- Tracking performance, relevance, and drift.
- Operational guidelines for updates and rollbacks.
Summary and Next Steps
Requirements
- Fundamental understanding of natural language processing.
- Practical experience with cloud services and APIs.
- Knowledge of search mechanisms and vector databases.
Target Audience
- Software 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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