Pluralsight - AI-powered Python Applications Advanced API Development for Scaling Generative AI Models

Pluralsight - AI-powered Python Applications Advanced API Development for Scaling Generative AI Models
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 147 MB | Duration: 54m 12s
High-traffic AI applications demand efficient, scalable backend systems. In this course, AI-powered Python Applications: Advanced API Development for Scaling Generative AI Models, you'll learn how to design and deploy performant AI-driven APIs using Python. First, you'll explore how to handle large volumes of requests with techniques such as asynchronous processing and queueing. Next, you'll discover how to manage costs and reduce latency using model caching, batch processing, and other optimization strategies. Finally, you'll learn how to build and secure serverless AI APIs, ensuring robust handling of real-time requests and traffic surges. When you're finished with this course, you'll have the skills and knowledge of advanced API design for generative AI models needed to confidently build high-throughput, resilient, and cost-effective AI-powered systems.​

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