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GenAI Application Architecture: Scalable & Secure AI Design

September 28, 2024 IT & Software CoursesUdemy

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This Udemy course is a comprehensive and well-structured introduction to GenAI Application Architecture: Scalable & Secure AI Design. The instructor, Paolo Dichone is a leading expert in the field with a wealth of experience in Generative AI (GenAI) to share. in this udemy free courses you will Learn how to Build scalable, secure, and efficient GenAI applications with AWS, MLOps, monitoring, and cloud-native architecture.

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

GenAI Application Architecture: Scalable & Secure AI Design Course

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.

This course focuses on the architecture and principles behind building robust GenAI systems, providing the knowledge needed to design effective AI solutions. Enroll now to transform your GenAI Application Architecture skills to the next level. Master GenAI Application Architecture – the core best practices and techniques for building secure, efficient, scalable GenAI Applications.

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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.
Machine Learning Enthusiasts: Individuals with a foundational understanding of machine learning and programming who want to expand into GenAI development.
Software Engineers: Engineers seeking to integrate AI into cloud-native applications and implement MLOps pipelines

FAQ (Frequently Asked Questions) about this course

Are there any limitations to access GenAI Application Architecture: Scalable & Secure AI Design coupon Code?

Yes, coupon codes usually have an expiration date. Most of the Udemy discount coupon valid for the first 1000 enrollments or valid for 30 days, whichever comes first. After that Coupon will expires.

How to apply Udemy coupon codes?

Applying the Udemy coupon code is super simple. At end of this post, you will find the “REDEEM” Button, Click on it You will be instantly redirected to a specific course to which the discount is applied and will be able to enjoy significant savings.

What types of Downloadable resources are included in the course?

GenAI Application Architecture: Scalable & Secure AI Design course includes a variety of resources, such as: Video lectures, Coding exercises and quizzes, Downloadable code files and project templates, PDF guides and notes

Can I get a refund for GenAI Application Architecture: Scalable & Secure AI Design, If I purchased with a coupon?

Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.

Can I get a certificate after completing the course?

Yes, Udemy provides certificates of completion for courses that you have successfully finished. Once you complete all the requirements of a course, such as watching all the video lectures and completing any quizzes or assignments, you should be eligible to receive a certificate.