
Five books. Thousands of pages of practical engineering knowledge. Master technical leadership, software architecture, security engineering, platform engineering and modern DevOps with a collection built for engineers who want to design better systems, solve harder problems and grow into high-impact technical leaders.

The advanced course plus the career map: all ten AI-Augmented QA books together with Testing Like a Senior, the QA career field manual

The nine core-skill books every QA engineer is assumed to have — manual testing, programming, Playwright, APIs, SQL, CI/CD, Git, and Linux.

The ten advanced books that define the 2026 QA job market — agent skills, agentic architectures, AI security, chaos engineering, and observability.

All 26 books of The Modern QA Engineer Skillset — the complete 2026 QA curriculum, from AI-augmented automation to career strategy, in a single bundle.


From your first LLM call to production-grade AI systems. Seven books covering agents, MCP, prompt engineering, evals, cost optimization, and observability — the complete engineering stack for building with AI in 2026. Save over 40% versus buying individually.


You will first build a solid foundation, then learn how to extend Kubernetes by writing your own operators. The two books fit together, so you don’t get stuck jumping between multiple tutorials.

Capire la metrica giusta, usarla per creare rapporti causali con gli obiettivi prefissati. Imparare ad usare gli obiettivi come strumento di innovazione, miglioramento e monitoraggio dei propri cambiamenti. The right way è una collana di libro-racconto che illustrano diversi aspetti del lavoro di designer dei processi fortemente ispirata a The Goal e Radical Focus.


Master the architecture, design and techniques behind modern Generative AI and Agentic AI systems. This bundle explores how real-world AI platforms are designed — from LLM pipelines and Retrieval-Augmented Generation (RAG) architectures to vector databases, intelligent workflows, and autonomous multi-agent systems. Through practical examples and architectural insights, you’ll learn how modern AI applications are structured, scaled, and integrated into production environments. Whether you are building AI-powered products or designing next-generation platforms, this bundle helps you understand the systems thinking required to engineer AI-native applications.

We automate infrastructure with Ansible and supercharge our day-to-day ops with shell power. Our automation becomes consistent, auditable, and quick to extend.

We learn Terraform the practical way, then prepare confidently for the Associate Exam 003. Our IaC skills become both usable and provable.

We sharpen advanced Linux ops, then instrument systems with OpenTelemetry. Our incident response becomes faster and our reliability work becomes data-driven.