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Course
- AI
Claude Security and Cost Optimization
In today’s AI-driven world, balancing data privacy and performance optimization is essential for developers. This course teaches you how to ensure data privacy and optimize Claude’s performance, focusing on security, cost-efficiency, and scaling.
What you'll learn
In the rapidly evolving world of AI, ensuring data privacy and optimizing performance are critical challenges for developers using advanced models like Claude. In this course, Claude Security and Cost Optimization, you’ll learn to balance data protection with performance efficiency. First, you’ll explore the best practices for data privacy and protection, including how Claude handles user data and ensures privacy. Next, you’ll discover how to optimize Claude's performance, focusing on improving speed and cost-efficiency. Finally, you’ll learn how to implement prompt caching, reduce latency, and scale Claude implementations while managing resources effectively. When you’re finished with this course, you’ll have the skills and knowledge of Claude needed to ensure secure, high-performance AI applications in your projects.
Table of contents
About the author
Bogdan Sucaciu is a Software Engineer at Axual in The Netherlands, where he is taking part in building a Streaming Platform designed to share information in real-time, enabling instant processing of incoming events. He has several years of experience "cooking" software with JVM-based languages, some flavors of web technologies and garnishing with automated testing.
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