Udemy – GenAI Application Architecture: Scalable & Secure AI Design 2024-9

Published on: 2024-10-12 21:26:38

Categories: 28

Description

GenAI Application Architecture: Scalable & Secure AI Design course. This course will help you acquire the skills necessary to design and implement scalable, secure, and cost-effective generative artificial intelligence (GenAI) applications. In this course, we will explore the principles of LGPL architecture and how they can be applied to build GenAI systems using modern cloud services such as AWS. We will cover important topics such as load balancing, containerization, error handling, monitoring, logging, and disaster recovery. This course is ideal for those looking to understand the GenAI architecture and ensure the flexibility, security and efficiency of applications.

What you will learn:

Designing Scalable GenAI Applications: Learn how to design and build scalable GenAI applications using the LGPL (Layer, Gate, Pipe) architecture.
Implementing Reliability and Fault Management: Understand how to build resilient GenAI applications using fault management, monitoring, logging, and disaster recovery.
Ensure security and save money: Build secure and cost-effective GenAI solutions using AWS security services and containerization.
Automation and Optimization with MLOps and CI/CD: Learn how to simplify deployment and future-proof GenAI applications using MLOps, CI/CD, and explainable AI (XAI).

This course is suitable for people who:

AI Developers and Engineers: People looking to build scalable, secure, and cost-effective GenAI applications.
Cloud Architects: Professionals who work with AWS and want to implement GenAI architectures using best practices.
Machine Learning Enthusiasts: People who have a basic understanding of machine learning and programming and want to develop GenAI.
Software Engineers: Engineers looking to integrate AI into cloud-native applications and implement MLOps pipelines.

Course details GenAI Application Architecture: Scalable & Secure AI Design

Publisher: Udemy
Instructor: Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
Training level: beginner to advanced
Training duration: 2 hours and 40 minutes

Course topics on 2024/10

Prerequisites of the GenAI Application Architecture: Scalable & Secure AI Design course

Basic Knowledge of AI and Machine Learning: Understanding of fundamental AI and machine learning concepts.
Familiarity with AWS: Experience with AWS services such as Lambda, S3, and DynamoDB is recommended.
Programming Skills: Intermediate-level knowledge of Python is essential.
Basic Understanding of Software Architecture: Familiarity with software architecture principles such as scalability, load balancing, and error handling.