Building Smart Agents with Vertex AI Agent Builder & RAG Training Course
Vertex AI Agent Builder offers a flexible, no-code or low-code framework for developing grounded agents. By leveraging retrieval-augmented generation (RAG), it empowers teams to rapidly construct intelligent agents that utilize enterprise data and search capabilities to deliver precise, context-aware responses.
This instructor-led live training, available online or onsite, is tailored for intermediate-level practitioners looking to design, configure, and deploy smart agents using Vertex AI Agent Builder and established RAG patterns.
Upon completion of this training, participants will be equipped to:
- Architect grounded agent workflows through Agent Builder.
- Establish RAG pipelines utilizing search and vector stores.
- Securely integrate enterprise data sources for effective retrieval.
- Assess and refine agent behavior through rigorous testing and metrics.
Course Format
- Engaging lectures facilitated by interactive discussions.
- Practical labs featuring Vertex AI Agent Builder and RAG components.
- Project-driven exercises focused on constructing and optimizing agents.
Course Customization Options
- For tailored training requirements, please reach out to our team to arrange a customized schedule.
Course Outline
Fundamentals of Agent Builder and RAG
- Overview of Agent Builder's core capabilities.
- Essentials of RAG and optimal scenarios for its application.
- Real-world use cases and success stories.
Environment Configuration
- Setting up the Vertex AI workspace.
- Linking search and vector stores.
- Practical lab: Preparing the development environment.
Designing Grounded Agent Workflows
- Defining agent objectives and conversation structures.
- Aligning data sources with retrieval strategies.
- Practical lab: Constructing a conversation flow.
Building RAG Pipelines
- Document indexing and embedding processes.
- Patterns for retrievers and re-rankers.
- Practical lab: Developing a functional RAG pipeline.
Enterprise Data Integration
- Establishing secure connections to internal systems.
- Data governance and access control measures.
- Practical lab: Connecting to enterprise data sources.
Testing, Evaluation, and Refinement
- Prompt testing and defining evaluation metrics.
- Strategies for user simulation and validation.
- Practical lab: Evaluating and tuning agent performance.
Deployment, Monitoring, and Maintenance
- Exploring deployment options and scaling factors.
- Tracking performance, relevance, and drift.
- Operational playbooks for updates and rollback procedures.
Conclusion and Future Directions
Requirements
- Foundational understanding of natural language processing.
- Practical experience with cloud services and APIs.
- Proficiency with search engines and vector databases.
Intended 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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