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 leverage generative models and retrieval-augmented generation (RAG). This capability allows teams to swiftly create agents that utilize enterprise data and search functionalities to deliver precise, context-aware responses.
This instructor-led, live training session, available online or onsite, is tailored for intermediate-level practitioners looking to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG patterns.
Upon completion of this program, participants will be equipped to:
- Architect grounded agent workflows within Agent Builder.
- Build RAG pipelines incorporating search and vector stores.
- Securely integrate enterprise data sources for retrieval purposes.
- Assess and refine agent performance through testing and metrics.
Course Delivery Format
- Engaging lectures and interactive discussions.
- Practical labs utilizing Vertex AI Agent Builder and RAG components.
- Project-based tasks focused on constructing and optimizing agents.
Customization Possibilities
- To explore tailored training options for this course, please reach out to us for arrangements.
Course Outline
Introduction to Agent Builder and RAG
- Summary of Agent Builder features
- Core concepts of RAG and applicable scenarios
- Real-world use cases and case studies
Environment Setup
- Setting up the Vertex AI workspace
- Linking search and vector storage solutions
- Practical session: preparing the environment
Architecting Grounded Agent Workflows
- Establishing agent objectives and dialogue structures
- Aligning data sources with retrieval methods
- Practical session: constructing a dialogue flow
Building RAG Pipelines
- Processing documents and generating embeddings
- Implementing retriever and re-ranker architectures
- Practical session: assembling a RAG pipeline
Integrations and Enterprise Data Management
- Establishing secure connections to internal systems
- Managing data governance and access permissions
- Practical session: linking enterprise data sources
Testing, Assessment, and Improvement
- Conducting prompt tests and analyzing evaluation metrics
- Employing user simulation and validation techniques
- Practical session: testing and adjusting agent behavior
Deployment, Oversight, and Upkeep
- Reviewing deployment strategies and scalability factors
- Tracking performance, relevance, and model drift
- Creating operational guides for updates and rollbacks
Wrap-up and Future Directions
Requirements
- Fundamental understanding of natural language processing
- Proficiency with cloud services and API interactions
- Knowledge of search engines 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
Related Courses
Agentic Development with Gemini 3 and Google Antigravity
21 HoursAdvanced Antigravity: Feedback Loops, Learning & Long-Term Agent Memory
14 HoursAdvanced Mastra Integrations: APIs, Tools, Enterprise Data & External Systems
21 HoursThis instructor-led training in Kenya covers advanced Mastra integrations, including APIs, tools, and enterprise data systems. Ideal for intermediate engineers, it teaches secure, scalable integration design and hands-on implementation with real-world scenarios and best practices.
Interactive AI Agents: AgentCore Memory, Code Interpreter & Browser Tool in Action
14 HoursAccelerating AI Agent Deployment with AgentCore Runtime & Gateway
14 HoursAntigravity for Developers: Building Agent-First Applications
21 HoursGetting Started with Antigravity: An Introduction to Agent-First IDEs
14 HoursAntigravity for Web Automation & Browser-Based Tasks
21 HoursBuilding Fully Managed AI Agents with AgentCore: From Concept to Production
14 HoursAI Agent Development with Mastra
14 HoursThis live, instructor-led course, available either online or onsite, targets intermediate-level software developers and engineering teams seeking to construct scalable and observable AI systems utilizing Mastra.
Upon completion of this training, participants will have the capability to:
- Comprehend the architectural design of Mastra and its integration methods with LLMs and third-party APIs.
- Architect and build AI agents and workflows leveraging TypeScript.
- Leverage Mastra’s observability and memory utilities to oversee and enhance agent performance.
- Launch production-ready AI applications by capitalizing on the robust features of the Mastra framework.
Mastra Debugging, Evaluation & Quality Assurance for AI Agents
21 HoursThis instructor-led session in Kenya explores Mastra’s suite of tools for debugging, evaluating, and securing AI agent reliability. Learners will apply structured metrics, deploy observability workflows, and craft QA strategies to maintain consistent agent performance within complex environments.
Mastra Ops & Production Engineering: Deploying and Scaling AI Agents
21 HoursThis live training in Kenya guides technical professionals through the process of deploying and scaling Mastra AI agents for production use. It addresses environment preparation, observability, and performance optimization to ensure agent operations are reliable, efficient, and cost-effective.
Mastra Workflow Automation & Multi-Agent Orchestration
21 HoursThis instructor-led training in Kenya explores the fundamentals of the Mastra framework for advanced multi-agent orchestration. Participants will learn to design complex workflows, coordinate parallel tasks, and implement monitoring tools to ensure reliable distributed systems and enterprise integration.
