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UdemyIT & SoftwarePaid courseIntermediate levelCertificate

GenAI Application Architecture: Scalable & Secure AI Design (Udemy.com)

Build scalable, secure, and efficient GenAI applications with AWS, MLOps, monitoring, and cloud-native architecture

4.4
881 reviews

Created by: Paulo Dichone

Last updated November 2024

Our take

Based on the ratings of 881 students, a sample of their written reviews and the syllabus, as the course stood in November 2024. No course pays to be reviewed.

This is a 2.7 hour overview of how to design GenAI applications that run in the cloud. It uses the LGPL idea (Layers, Gates, Pipes, and Loops) as a frame, then walks through scaling, containers, load balancing, resilience, disaster recovery, security threats and cost. There are 44 lectures across 12 sections, with no quizzes and no coding exercises. The requirements list asks for intermediate Python and some AWS familiarity, but the material is explained rather than built. It suits architects and engineers who want the big picture first.

Paulo Dichone gets credit for clear, unhurried teaching. Reviewers say he breaks topics into manageable pieces and builds from one to the next, and one calls it useful for senior architects. The complaints are consistent, though. Several reviewers say much of it is general cloud architecture with little that is specific to GenAI, and one adds that the GenAI topics near the end feel rushed. Others miss worked examples or demos. A few found it basic or superficial, and one 3-star reviewer questioned how it describes what LLMs generate.

The rating is 4.4 from 881 reviews, and about 88 percent of them are four or five stars. The last update was November 2024, and at least one reviewer calls it outdated, which matters in a field that moves this fast. As a short, low-commitment look at the architecture side of GenAI on AWS, it does the job and fits in an evening. If you expect AI-specific patterns, code or diagrams, look elsewhere.

Best forCloud or software architects who want a gentle, high-level map of hosting and running GenAI apps on AWS.
Skip it ifYou want hands-on builds, real architecture diagrams, or deep GenAI-specific design rather than general cloud principles.

Pros

  • Slow, clear delivery that reviewers find easy to follow
  • Short at 2.7 hours, so it works as a quick overview
  • Covers disaster recovery, security threats and cost control alongside scaling
  • About 88 percent of 881 ratings are four or five stars

Cons

  • Much of the content is general cloud architecture, not GenAI specific
  • No demos, worked examples or coding exercises, so it stays theoretical
  • Last updated November 2024, and some reviewers call it outdated or rushed at the end
The course is easy to understand and get high level understanding of the architecture as well as infrastructure required for Gen AI application.
Nikhil Nigudkar, a student

Labeled intermediate. Requirements list intermediate Python, AWS familiarity and ML basics, though reviewers describe a slow, high-level pace.

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What you will 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

Course content

12 sections · 44 lectures · 2.7 hours of video 2 articles

  1. 1Introduction 2 free previews2 lectures · 5 min
  2. 2Course Code and Resources1 lecture
  3. 3GenAI (Generative AI) Deep Dive 1 free preview5 lectures · 24 min
  4. 4The LGPL Architecture - Deep Dive9 lectures · 32 min
  5. 5Building Scalable GenAI Applications5 lectures · 31 min
  6. 6Building for Cloud-Native Deployments2 lectures · 5 min
  7. 7Building Resilient GenAI Applications4 lectures · 10 min
  8. 8Disaster Recovery and High Availability Strategies4 lectures · 17 min
  9. 9Security Threats in GenAI Applications3 lectures · 9 min
  10. 10Cost Optimization Strategies for GenAI Infrastructure3 lectures · 9 min

Who it is for

The instructor says it suits

  • 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

What you need before you start

  • 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.

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.4 out of 5higher than 30% of them
  • Reviews881#420 of 1,183 by number of reviews
  • Length2.7 hoursshorter than 74% of them
  • Last updatedNovember 2024earlier than 59% of them

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Course Description

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:

  • Architect scalable and secure GenAI applications using the LGPL model.

  • Understand core concepts such as containerization, load balancing, and disaster recovery.

  • Learn best practices for monitoring, logging, and error handling in GenAI systems.

  • Explore MLOps, CI/CD, and security strategies for future-proofing AI applications.

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.


Ready to take your skills to the next level?  Join me, and let's get started. 

See you inside the course!
Read More Intermediate Intermediate Level product length iconTime: 2.7h

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Instructor Details

Paulo Dichone

Hi, I’m Paulo – Your Guide to Mastering Development, Cloud, and AI Engineering

With a passion for empowering learners, I’ve had the privilege of teaching over 350,000 students across 175 countries. Whether you’re diving into Android, Java, Flutter, AWS Cloud, or venturing into the world of AI engineering, I’m here to help you unlock your full potential.


My Expertise

I bring extensive hands-on experience in:

    AI Engineering 

    Mobile App Development (Android & iOS)

    Cross-Platform Development (Flutter, Dart, and JavaFX)

    AWS Cloud Solutions


And now, I’m also focused on the AI engineering landscape, helping developers leverage the power of machine learning and automation in their projects.


My Mission

No matter where you are in your journey—whether you're just starting or looking to sharpen advanced skills—my courses are designed to make you an exceptional developer and AWS Cloud Practitioner, equipped to tackle real-world challenges. Beyond coding, I enjoy spending time with my growing family, playing the guitar and mandolin, and traveling whenever I get the chance.


Read More

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Reviews

4.4

881 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Virgilia Campbell-Whitter on 8/17/2026

I love how this instructor delivers the information very clear and slow.

By A B N on 6/15/2026

overall it's very good content and useful for senior architects

By Anuradha Singh on 6/9/2026

Excellent content! The material is well-structured, comprehensive, and highly insightful. It greatly enhances understanding of the subject matter.

By Zameem Raghuman on 12/12/2025

Very detailed information

By Paul Waaij on 6/28/2025

interesting course; esp for architects

By Jonas salk R on 5/20/2025

The course was more in to Theory no practical demo on how it will be real application scenario

By Nilesh Chaturvedi on 3/14/2025

A great cloud architecture course but light on GenAI. Great instructor. Great breakdown of lectures/sections. I think I just expected more GenAI concepts to be called out in the architecture. While it starts with LGPL and takes about GenAI, half of the course is about cloud architecture that was fairly general. All good stuff but I suppose I was expecting more focus on Gen AI. The Gen AI topics at the end seemed somewhat rushed. I would go deeper into those topics and perhaps slightly rush through the cloud architecture portion or increase the length by 30 mins and do justice to both.

By Anonymized User on 3/3/2025

Good course for quick overview on GenAI architecture in simple terms. Lot of architecture models were based on common cloud application architecture principles . It is better to emphasize the specific ones for GenAI to compress the course and go little deeper on those concepts.

By Marcus Mabee on 11/16/2024

This course is very well done. The instructor does an excellent job of breaking the topic down into manageable pieces, explaining each, and building from one topic to the next in a way that is easy to follow, and to understand.

By Ken Richmond on 9/25/2024

This guy is a great trainer

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Overall Score : 88 / 100

GenAI Application Architecture: Scalable & Secure AI Design
Visit course on Udemy Write a review
  • Video Duration: icon 2.7h
  • Price: $49.99
  • Provider: icon Udemy
  • Updated: icon November 2024
  • Level: Intermediate Intermediate
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:44 in 12 sections
  • Students:4,593
  • Subtitles:5 languages
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