WrenAI Cloud Essentials: From Data Sources to Dashboards Training Course
Course Outline
Introduction to WrenAI Cloud for Government
- Key Features and Architecture
- Account Setup and Environment Preparation
- WrenAI Cloud Compared to Traditional BI Tools
Data Connectivity for Government
- Connecting to Cloud Databases
- Integrating Spreadsheets and CSV Files
- Managing and Monitoring Data Connections
Data Modeling Fundamentals for Government
- Defining Datasets and Schemas
- Establishing Relationships Between Data Sources
- Best Practices for Model Design
Transformations and Enrichment for Government
- Applying Filters and Aggregations
- Using Calculated Fields
- Automating Data Refreshes
Dashboard Design Principles for Government
- Building Interactive Dashboards
- Chart Types and Visualization Best Practices
- Managing Layouts and User Experience
Collaboration and Sharing for Government
- Publishing Dashboards
- Access Control and Permissions
- Collaboration Features in WrenAI Cloud
Administration and Monitoring for Government
- Managing Workspaces and Projects
- Monitoring Performance and Usage
- Troubleshooting Common Issues
Advanced Features and Roadmap for Government
- Extending Dashboards with Integrations
- Exploring AI-Assisted Analytics
- Upcoming Capabilities in WrenAI Cloud
Summary and Next Steps for Government
Requirements
- An understanding of fundamental data analysis concepts
- Experience with spreadsheets or basic business intelligence (BI) tools
- Familiarity with cloud-based applications for government use
Audience
- Data analysts for government
- BI developers
- Operations leads
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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14 HoursQuality and Observability for WrenAI: Evaluation, Prompt Tuning, and Monitoring
14 HoursWrenAI facilitates the conversion of natural language into SQL and offers AI-driven analytics, enhancing data access speed and intuitiveness. For government use, quality assurance and observability practices are critical to ensure accuracy, reliability, and compliance.
This instructor-led, live training (available online or on-site) is designed for advanced-level data and analytics professionals who wish to assess query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production environments.
By the end of this training, participants will be able to:
- Evaluate the precision and reliability of natural language to SQL outputs.
- Apply prompt tuning techniques to enhance performance.
- Track drift and query behavior over time.
- Integrate WrenAI with logging and observability frameworks.
Course Format
- Interactive lectures and discussions.
- Hands-on exercises focusing on evaluation and tuning techniques.
- Practical labs for observability and monitoring integrations.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.