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

Instructeur : Packt - Course Instructors
Inclus avec
Expérience recommandée
Ce que vous apprendrez
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.
Détails à connaître

Ajouter à votre profil LinkedIn
mai 2025
10 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées


Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance

Il y a 11 modules dans ce cours
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.
Inclus
2 vidéos1 lecture
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.
Inclus
5 vidéos1 devoir
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.
Inclus
8 vidéos1 devoir
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.
Inclus
5 vidéos1 devoir
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.
Inclus
2 vidéos1 devoir
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.
Inclus
4 vidéos1 devoir
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.
Inclus
4 vidéos1 devoir
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.
Inclus
3 vidéos1 devoir
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.
Inclus
3 vidéos1 devoir
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.
Inclus
4 vidéos1 devoir
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.
Inclus
1 vidéo1 devoir
Instructeur

Offert par
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?





Ouvrez de nouvelles portes avec Coursera Plus
Accès illimité à 10,000+ cours de niveau international, projets pratiques et programmes de certification prêts à l'emploi - tous inclus dans votre abonnement.
Faites progresser votre carrière avec un diplôme en ligne
Obtenez un diplôme auprès d’universités de renommée mondiale - 100 % en ligne
Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires
Améliorez les compétences de vos employés pour exceller dans l’économie numérique
Foire Aux 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.
Plus de questions
Aide financière disponible,