Architecting AI Solutions - Scalable GenAI Systems for the Future: Master scalable Generative AI architectures and unlock the future of intelligent systems

Paulo Dichone

€8.99 ~~€67.99~~

Video Dec 2024 2hrs 39mins 1st Edition

Paulo Dichone

€8.99 ~~€67.99~~

Video Dec 2024 2hrs 39mins 1st Edition

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

View table of contents

Download Code

Key benefits

In-depth exploration of GenAI evolution and advanced architectural frameworks
Practical simulations of LGPL components for real-world application scenarios
Comprehensive coverage of scalability, resilience, and ethical considerations in AI

Description

This comprehensive course dives into the intricacies of designing scalable Generative AI (GenAI) systems. Starting with the evolution of AI architectures, you’ll explore how GenAI technologies like Variational Autoencoders and Generative Adversarial Networks have transformed the field. Real-world applications are highlighted to provide context and inspiration, setting the stage for understanding the challenges and opportunities in building GenAI applications. The course delves into the LGPL architecture, a robust framework for creating scalable and resilient systems. Through hands-on exercises, you’ll simulate key components like gates and feedback loops, gaining practical expertise in implementing advanced architecture layers. The curriculum extends to cloud-native deployment strategies, microservices, load balancing, and fault tolerance, ensuring your applications are ready for enterprise-scale demands. Advanced topics include security, monitoring, and ethical considerations for responsible AI development. You’ll explore real-world case studies, tackling challenges such as disaster recovery, high availability, and cost optimization. By the end of the program, you’ll be equipped to build, deploy, and manage GenAI systems that are efficient, secure, and future-proof, ready to meet the demands of modern AI applications.

Who is this book for?

This course is designed for experienced developers, architects, and AI practitioners looking to deepen their expertise in scalable Generative AI systems. Participants should have foundational knowledge of AI concepts, programming (preferably Python), and basic cloud computing principles.