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Duration 14 hours
Course Outline
Introduction to Agent Builder and RAG
- Exploration of Agent Builder features and capabilities
- RAG fundamentals and applicable scenarios
- Real-world use cases and success stories
Environment Configuration
- Setting up the Vertex AI workspace
- Linking search and vector stores
- Practical lab: preparing the environment
Architecting Grounded Agent Workflows
- Establishing agent objectives and conversation paths
- Aligning data sources with retrieval strategies
- Practical lab: developing a conversation flow
Building RAG Pipelines
- Document indexing and embedding creation
- Retriever and re-ranker methodologies
- Practical lab: assembling a RAG pipeline
Integrations and Enterprise Data
- Secure connections to internal systems
- Data governance and access management
- Practical lab: linking enterprise data sources
Testing, Evaluation, and Refinement
- Prompt testing and performance metrics
- User simulation and validation techniques
- Practical lab: assessing and tuning the agent
Deployment, Monitoring, and Maintenance
- Deployment options and scalability factors
- Monitoring performance, relevance, and drift
- Operational guidelines for updates and rollbacks
Conclusion and Future Directions
Requirements
- Fundamental understanding of natural language processing
- Proficiency with cloud services and APIs
- Knowledge of search and vector databases
Target Audience
- 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 2600 € + VAT*
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