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Duration 14 hours
Course Outline
Introduction to Agent Builder and RAG
- Overview of Agent Builder features
- Core concepts of RAG and applicable scenarios
- Real-world use cases and success stories
Environment Setup
- Configuring the Vertex AI workspace
- Linking search and vector stores
- Practical lab: preparing the environment
Designing Grounded Agent Workflows
- Defining agent objectives and conversation paths
- Aligning data sources with retrieval strategies
- Practical lab: constructing a conversation flow
Building RAG Pipelines
- Document indexing and embedding creation
- Retriever and re-ranker patterns
- Practical lab: establishing a RAG pipeline
Integrations and Enterprise Data
- Secure connections to internal systems
- Data governance and access control mechanisms
- Practical lab: linking enterprise data sources
Testing, Evaluation, and Refinement
- Prompt testing and performance metrics
- User simulation and validation techniques
- Practical lab: evaluating and tuning the agent
Deployment, Monitoring, and Maintenance
- Deployment options and scalability factors
- Tracking performance, relevance, and drift
- Operational guides for updates and rollbacks
Summary and Future Steps
Requirements
- Fundamental understanding of Natural Language Processing (NLP).
- Practical experience with cloud services and APIs.
- Working knowledge of search engines and vector databases.
Target Audience
- Software Developers
- Solution Architects
- Product Managers
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.
Price per private group, online live training, starting from 3200 € + VAT*
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