Bundles

Build the future of AI engineering with a complete collection covering local LLM deployment, AI infrastructure, production agent systems, and reliable automation. This bundle gives developers and technical professionals the practical skills to run powerful models privately, design scalable AI architectures, connect agents to real-world tools, and build intelligent systems ready for production.

Master the future of AI-powered software development with this complete bundle covering agentic coding, prompt engineering, AI system design, secure deployment, and production operations. Learn how to build, test, govern, and scale intelligent applications using the latest tools and engineering practices shaping the next generation of software.

Four books. One complete arc: master C++, debug like a forensic investigator, build an LLM inference engine from scratch, and understand quantization down to the bit level. Everything in one place, for engineers who want to understand — not just use.

Most Android apps fail not because of features, but because of poor architecture. This bundle gives you a complete, production-ready blueprint for building scalable Android systems using Clean Architecture, MVVM, MVI, Kotlin Coroutines, Flow, Hilt, and modern multi-module design. If you want to engineer Android applications that stay clean, testable, and maintainable as they grow, this is your full architecture roadmap.

From architecture to implementation, determinism reduces complexity. Learn how to design predictable systems and preserve architectural intent through abstraction and deterministic code generation.

The ultimate guide to cracking Android technical interviews, a dissection of what runs beneath every @Composable, and unlocking the 'How' and 'Why' behind Kotlin fundamentals and internal mechanisms.

The ultimate guide to cracking Android technical interviews and a dissection of what runs beneath every @Composable.

Two practical books for teams building enterprise AI agents in production. Start with Claude Code, tools, MCP, evals, observability, and production agent workflows. Then secure those agents with bounded autonomy, AgentSecOps, RAG governance, identity controls, audit evidence, and regulatory readiness.

This GenAI bundle is perfect for ML engineers, AI product developers, and architects designing next-generation intelligent applications.

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.

Top to bottom system design like you have never seen it before. The ACM Code of Ethics taken head on.

We have forgotten constraint-based design because we now hide High-Performance Computing system constraints behind abstractions and inside infrastructure. But the techniques we developed and proved across the decades remain important for AI.

Cray Research was unusual in that we accomplished, repeatedly, what nobody else on the planet was able to accomplish. We never wrote down how we did it, until now.