Scaling Integrated Generative AI
Scaling Integrated Generative AI
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 38m | 103 MB
Instructor: Soham Kamani
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 38m | 103 MB
Instructor: Soham Kamani
Learn to build scalable and resilient generative AI applications. This course will show you how to design and implement a microservices-based architecture that manages fluctuating workloads, model failures, and ensures availability.
What you'll learn
Integrating generative AI models into production applications presents unique scalability and resilience challenges. In this course, Scaling Integrated Generative AI, you'll learn to build a robust and scalable AI-powered content summarization service. First, you'll discover how to implement load balancing and model selection strategies within the AI service to handle varying request sizes and model performance. Then, you'll see how to manage request bursts with asynchronous processing. Finally, you'll learn how to use a fallback mechanism for model downtime or latency spikes. When you're finished with this course, you'll have the skills and knowledge needed to deploy reliable and high-performance AI-powered applications.
Scaling Integrated Generative AI
