Overview
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Explore cloud-native architecture principles for building scalable data and AI solutions in this 19-minute conference talk from Conf42 Cloud 2025. Learn the key elements essential for constructing robust AI systems that can scale effectively in cloud environments. Discover how microservices and containerization enable modular, maintainable AI applications, and understand the benefits of serverless computing for AI workloads. Examine data management strategies and MLOps practices that ensure reliable AI model deployment and monitoring. Gain insights into security and compliance considerations specific to AI solutions in cloud environments. Master performance optimization techniques for AI systems and understand how to implement RAG-based (Retrieval-Augmented Generation) architecture for enhanced AI capabilities. Conclude with an exploration of emerging trends in AI and cloud computing that will shape the future of scalable data solutions.
Syllabus
00:00 Introduction to Scalable AI and Cloud Native Architecture
01:01 Key Elements for Building Scalable AI Solutions
02:34 Understanding Cloud Native Architecture
04:20 Deep Dive into Microservices and Containers
07:47 Serverless Computing and Its Benefits
09:28 Data Management and MLOps
11:34 Security and Compliance in AI Solutions
13:52 Optimizing AI Performance
14:46 Implementing RAG-Based Architecture
17:58 Future Trends in AI and Cloud Computing
18:27 Conclusion and Final Thoughts
Taught by
Conf42