GenAI Application Architecture: Scalable & Secure AI Design
GenAI Application Architecture: Scalable & Secure AI Design
Build scalable, secure, and efficient GenAI applications with AWS, MLOps, monitoring, and cloud-native architecture
Product Brand: Udemy
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Udemy Coupon Code for GenAI Application Architecture: Scalable & Secure AI Design Course. Build scalable, secure, and efficient GenAI applications with AWS, MLOps, monitoring, and cloud-native architecture.
Created by Paolo Dichone | 2.5 hours on-demand video course
GenAI Application Architecture Course Overview
GenAI Application Architecture: Scalable & Secure AI Design
Master the essential techniques and best practices for designing and architecting scalable, secure, and cost-effective Generative AI (GenAI) applications. In this course, you’ll explore the principles of the LGPL architecture (Layers, Gates, Pipes, and Loops) and how they apply to building GenAI systems using modern cloud services like AWS.
We’ll cover critical topics such as load balancing, containerization, error handling, monitoring, logging, and disaster recovery. This course is ideal for those looking to understand GenAI architecture, ensuring applications are resilient, secure, and efficient.
What you’ll learn
- Design Scalable GenAI Applications: Learn to architect and build scalable GenAI applications using the LGPL architecture, focusing on Layer, Gate, Pipes
- Implement Resiliency and Error Handling: Understand how to incorporate error handling, monitoring, logging, and disaster recovery to create resilient GenAI Apps
- Ensure Security and Cost Efficiency: Develop secure and cost-effective GenAI solutions by leveraging AWS security services, containerization
- Automate and Optimize with MLOps & CI/CD: Learn to implement MLOps, CI/CD, and Explainable AI (XAI) for streamlined deployment and future-proofing GenAI apps
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This Gen AI – RAG Application Development using LangChain course on developing RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases is intended to enable learners who want to build a solid conceptual and hand-on proficiency to be able to solve any RAG automation projects given to them.
Who this course is for:
- AI Developers and Engineers: Those looking to build scalable, secure, and cost-effective GenAI applications.
- Cloud Architects: Professionals working with AWS who want to implement GenAI architectures using best practices.
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- Software Engineers: Engineers seeking to integrate AI into cloud-native applications and implement MLOps pipelines
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