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Course Outline

Introduction to Agent Builder and RAG

  • Overview of Agent Builder capabilities
  • RAG fundamentals and appropriate use cases
  • Use cases and success stories

Environment Setup

  • Configuring the Vertex AI workspace
  • Connecting search and vector stores
  • Hands-on lab: preparing the environment

Designing Grounded Agent Workflows

  • Defining agent objectives and conversation flows
  • Mapping data sources to retrieval strategies
  • Hands-on lab: constructing a conversation flow

Implementing RAG Pipelines

  • Indexing documents and generating embeddings
  • Utilizing retriever and re-ranker patterns
  • Hands-on lab: creating a RAG pipeline

Integrations and Enterprise Data

  • Establishing secure connectors to internal systems
  • Managing data governance and access controls
  • Hands-on lab: linking enterprise data sources

Testing, Evaluation, and Iteration

  • Prompt testing and evaluation metrics
  • Strategies for user simulation and validation
  • 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
  • Experience working with cloud services and APIs
  • Familiarity with search mechanisms and vector databases

Target Audience

  • Developers
  • Solution architects
  • Product managers
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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