Redpanda Connect and AI Workshop

Übersicht

Gain insights into building real-time data pipelines and AI integrations with Redpanda Connect through practical exercises and hands-on demonstrations led by a solutions architect.

Lehrplan

• Introduction to Redpanda Connect
Overview of Redpanda architecture
Key features and capabilities
Setting up your Redpanda environment
• Building Real-Time Data Pipelines
Understanding real-time data processing
Configuring connectors in Redpanda
Managing data flow and troubleshooting errors
• AI Integrations with Redpanda
Overview of AI use cases and applications
Connecting AI models to data pipelines
Leveraging machine learning libraries with Redpanda
• Hands-On Exercises
Exercise 1: Setting up a sample data pipeline
Exercise 2: Implementing a basic AI integration
Exercise 3: Handling real-time data analytics
• Advanced Topics
Scaling and optimizing data pipelines
Security and compliance in data streaming
Best practices for AI model deployment
• Hands-On Demonstrations
Demonstration 1: Real-time sentiment analysis with Redpanda
Demonstration 2: Stream processing with Apache Kafka vs. Redpanda
Demonstration 3: End-to-end AI-powered application with Redpanda
• Case Studies and Industry Applications
Real-world examples of Redpanda and AI integration
Lessons learned from successful deployments
• Conclusion and Further Learning
Recap of key concepts
Resources for continued learning and practice
Q&A session with a solutions architect

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Fachgebiete

Data Science