This course offers a comprehensive journey into architecting scalable and efficient Generative AI (GenAI) applications. It equips you with the skills to design, deploy, and optimize GenAI systems. The course starts by laying the foundational knowledge of GenAI, including its evolution from traditional AI to modern architectures, and dives deep into core concepts such as Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs). By exploring these models, you’ll understand their vital role in enabling cutting-edge large language models (LLMs).
Architecting AI Solutions – Scalable GenAI Systems
Architecting AI Solutions – Scalable GenAI Systems
Instructor: Packt - Course Instructors
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Master the foundational principles of scalable Generative AI systems and architectures.
Gain hands-on experience with the LGPL architecture, including Gates, Pipes, and Loops.
Learn to build resilient and fault-tolerant GenAI applications with modern infrastructure tools.
Understand advanced topics like Explainable AI (XAI), MLOps, and emerging trends in GenAI.
Details to know
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May 2025
Assessments
10 assignments
Taught in English
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There are 11 modules in this course
In this module, we will introduce the foundational concepts and prerequisites essential for mastering scalable GenAI systems. You’ll also gain clarity on the course structure, helping you understand the key components that will guide your learning journey.
What's included
2 videos1 reading
In this module, we will take an in-depth look at Generative AI (GenAI), understanding its foundational concepts and evolution. Through real-world applications and an exploration of VAEs and GANs, you’ll gain insight into the power and potential of GenAI systems.
What's included
5 videos1 assignment
In this module, we will dive deep into the LGPL architecture, exploring its vital components and layers. Through hands-on simulations, you will build practical understanding by integrating Gates, Pipes, and Loops into scalable GenAI systems.
What's included
8 videos1 assignment
In this module, we will explore key infrastructure considerations for GenAI applications, diving into containerization, Docker, and architectural choices. You’ll also learn how to implement strategies like load balancing and fault tolerance to ensure your applications are scalable and resilient.
What's included
5 videos1 assignment
In this module, we will explore how cloud platforms enable scalable and efficient deployment of GenAI applications, helping you understand the key advantages of building for the cloud.
What's included
2 videos1 assignment
In this module, we will focus on strategies for building resilient GenAI applications, from managing errors and exceptions to ensuring uptime with monitoring and alert systems. Learn how to maintain reliability and reduce failure impacts.
What's included
4 videos1 assignment
In this module, we will cover strategies to ensure your GenAI applications are both resilient and high-performing, exploring disaster recovery techniques and high availability solutions, including cloud-based tools from AWS.
What's included
4 videos1 assignment
In this module, we will examine common security threats facing GenAI applications and explore the role of Explainable AI (XAI) in safeguarding against adversarial risks, helping you secure your systems from emerging threats.
What's included
3 videos1 assignment
In this module, we will focus on cost optimization strategies, including resource right-sizing and containerization. You’ll learn how to balance performance and cost efficiency when deploying GenAI applications.
What's included
3 videos1 assignment
In this module, we will explore advanced concepts in GenAI architecture, such as Explainable AI, MLOps, and ethical AI. You’ll also discover the emerging trends that are shaping the future of GenAI systems.
What's included
4 videos1 assignment
In this final module, we will provide guidance on how to continue your journey of mastering scalable GenAI systems, offering recommendations for next steps and further learning opportunities.
What's included
1 video1 assignment
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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