

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.

We learn to provision infrastructure with Terraform skills that translate directly into real cloud projects. We also add OpenTofu context and exam-focused prep so our IaC credibility becomes visible on paper too.

We standardize API testing with Postman workflows that make collaboration and regression checks painless. We also add Bruno so our collections can live cleanly in Git and fit neatly into CI.

We build Linux administration strength from essentials to advanced operations that production work demands. We then step into OpenStack so we can run private cloud infrastructure with confidence.

We build scalable AI pipelines with Spark and add Dask where Python-first parallelism fits best. We then instrument everything with OpenTelemetry so distributed systems become observable, measurable, and debuggable.

What This Bundle Delivers ? End-to-End Integration Architecture — Master API-led connectivity, event-driven systems, message brokers, choreography, orchestration, and modern integration patterns. Modernization Playbooks — Practical strategies to transform legacy integration platforms into scalable, cloud-ready, future-proof digital backbones.?...