Mastering NLP with Hugging Face: Leveraging diffusion models, transformers, and reinforcement learning for generative and analytical systems 1st Edition​
​(English Edition | released 28/FEB/2026) 

The most influential libraries in modern AI

Hugging Face Diffusers has become one of the key powering breakthroughs in text-to-image generation, reinforcement learning, and large-scale inference pipelines.
 What you will learn
  • Build diffusion pipelines for NLP and vision tasks.
  • Train DQN, A3C, and AlphaZero RL agents.
  • Use schedulers for stable and efficient inference.
  • Deploy models across AWS, GCP, and Azure.
  • Apply ethical and responsible AI patterns.
  • Optimize performance with MLOps workflows.

Building AI Architecture

No hype, just knowledge

Who this book is for

This book is written for ML engineers, cloud architects, cybersecurity analysts, generative AI developers, and researchers seeking a rigorous and practical guide to diffusion models and reinforcement learning. 
This book bridges theory and real-world implementation, enabling readers to translate complex AI concepts into scalable, production-ready solutions. ​

​It is ideal for professionals designing scalable, ethical, and production-ready diffusion models and AI systems.

referenced by:

Chapter 07 - Schedulers in Hugging Face Diffusers

https://doi.org/10.22541/au.173627634.49343603/v1

​MacKay, M., Zamani Alavijeh, S., Gosselin, S., Zarrinkalam, F., & McWhirter, J. E. (2026). Exploring Reddit Discourse and Information Needs Surrounding Extreme Heat: Topic, Sentiment, and Engagement Analysis. Journal of Medical Internet Research, 28, e82426–e82426. https://doi.org/10.2196/82426
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Available via BPB Publications and Amazon.
Picture
Available at Amazon.com

Mastering AWS Cloud: Cloud adoption using the AWS cloud computing ecosystem 1st Edition 
​(English Edition | released 23/OCT/2025)

​This book isn’t just about cloud services or certifications.

It’s about architecture, evolution, and intent — how organizations adopt the AWS cloud to build reliable, scalable, and secure digital ecosystems.

Across its chapters, I explore:
  • The foundational building blocks of the AWS Cloud ecosystem.
  • Patterns and design principles for multi-account governance and automation.
  • Advanced integrations with machine learning, media services, and IoT.
  • Real-world architectures derived from enterprise and public-sector transformations.

Mastering AWS Cloud 

A Journey Through the Ecosystem​

I wrote it as a practitioner’s guide.

... technical enough for engineers, yet structured for strategists and architects who need to translate complexity into vision.

This project represents years of hands-on work, countless client migrations, and the conviction that cloud architecture is a discipline of both technology and thought.

If cloud adoption, AI integration, or digital transformation are part of your world,
I hope you’ll find something in it that resonates.​

referenced by:

Chapter 14 - AWS Well-Architected Framework

https://doi.org/10.22541/au.173679849.92631174/v1

​Borle, Mr. S. G., & Zende, S. S. (2025). Cost Optimization and Growth: The Impact of AWS Storage Services on Small Enterprises. International Journal of Advanced Research in Science Communication and Technology, 548–558. https://doi.org/10.48175/ijarsct-23683
Hossain, S. M., Altarawneh, A., & Gupta, M. (2025, July). Bridging Cloud Convenience and Protocol Transparency: A Hybrid Architecture for Ethereum Node Operations on Amazon Managed Blockchain. In 2025 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 129-139). IEEE. DOI: 10.1109/SOSE67019.2025.00020
Ткаченко, О. В. (2025). Метод забезпечення відмовостійкості мікросервісів у AWS.
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Chapter 13 - Migration and Transfer

10.22541/au.173679848.85679645/v1

​Borle, Mr. S. G., & Zende, S. S. (2025). Cost Optimization and Growth: The Impact of AWS Storage Services on Small Enterprises. International Journal of Advanced Research in Science Communication and Technology, 548–558. https://doi.org/10.48175/ijarsct-23683
Picture
Available via BPB Publications and Amazon.
Picture
Available at Amazon.com
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