- Course
AI-powered Python Applications: Advanced API Development for Scaling Generative AI Models
Get ready to scale your AI-powered Python APIs. This course will teach you how to build asynchronous API calls, model optimization, serverless deployment, and security strategies to handle high-volume AI requests efficiently.
Beginner
- Course
AI-powered Python Applications: Advanced API Development for Scaling Generative AI Models
Get ready to scale your AI-powered Python APIs. This course will teach you how to build asynchronous API calls, model optimization, serverless deployment, and security strategies to handle high-volume AI requests efficiently.
Beginner
Get started today
Access this course and other top-rated tech content with one of our business plans.
Try this course for free
Access this course and other top-rated tech content with one of our individual plans.
This course is included in the libraries shown below:
- Core Tech
What you'll learn
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.
AI-powered Python Applications: Advanced API Development for Scaling Generative AI Models
Beginner
Table of contents
Eman Hassan is the CTO of Aleoop, an AI-driven startup that leverages machine learning to capture real-time customer needs and align product, sales, and leadership teams. With over 13 years of experience in software engineering, cloud computing, cybersecurity best practices, data engineering, and DevOps, she brings deep technical expertise and strategic insight to every project. Passionate about AI, mentorship, and continuous learning, Eman helps developers master emerging technologies and deliver impactful, real-world solutions.