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1
Introduction to AI and Network Security
2
The Growing Need for Real-Time AI
3
Key Features of Apache Kafka for AI Workloads
4
Real-Time AI Use Cases with Kafka
5
Securing AI Data Pipelines with Secure Proxies
6
Integrating AI Workloads with Kafka Connect
7
Implementing Zero Trust Architecture with Kafka
8
Best Practices for Building Secure AI Pipelines
9
Conclusion: Enhancing AI Systems with Kafka
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a 19-minute conference talk from Conf42 Prompt 2024 that delves into building secure and efficient AI workflows using Apache Kafka and modern architectures. Learn about the growing importance of real-time AI processing, discover key Apache Kafka features optimized for AI workloads, and examine practical use cases for real-time AI implementation. Master the integration of AI workloads through Kafka Connect, understand how to secure AI data pipelines using secure proxies, and implement zero trust architecture principles. Gain valuable insights into best practices for constructing secure AI pipelines while exploring the synergy between AI systems and Kafka's capabilities for enhanced performance and security.

AI Workflows with Kafka and Modern Architectures

Conf42
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