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Cover for Building Production AI Applications: A Career-and-Capstone Path for Engineers Building Real AI Applications

Building Production AI Applications: A Career-and-Capstone Path for Engineers Building Real AI Applications

Forfatter
- Jordan O'Neal
Forlag
- PublishDrive

Sprog: Engelsk
Format
Kategori: Fakta

Tutorials show you how to build an AI demo, but not how to ship an AI application that is reliable, affordable, and safe in front of real users. This capstone guide teaches you to build production AI end to end and prepares you for the career that goes with it.

The engineering world is not short of AI tutorials. You can find thousands of examples of building a chatbot, wiring up retrieval, or getting a model to call a tool. The problem is that tutorials solve the demo problem and stop exactly where real engineering begins. They do not show how to keep retrieval quality high as a corpus grows, how to version prompts with regression tests, how to stay inside a latency budget under real traffic, or how to prove a change made things better.

Building Production AI Applications is the capstone of the ML Engineer's Journey and the field guide for closing that gap. It treats an AI application as a composed system, with a data layer, a model layer, orchestration, a product surface, and a governance spine, and teaches you to build that system end to end with production discipline.

Eleven chapters cover what an AI application actually is, a six-layer reference architecture, retrieval-augmented generation in production, bounded and observable agents, prompts as versioned code, lightweight fine-tuning with LoRA, serving within latency and cost limits, honest evaluation, and safety and guardrails. The book then delivers three end-to-end capstone projects and closes with two paths: getting hired as an AI or ML engineer, or shipping your own product.

Each chapter includes an opening scenario, a Technical Checklist, Team Discussion questions, an interview frame, and Key Takeaways, backed by a starter stack, reference implementations, and a tool selection guide. Tool-neutral and career-aware, it is written for engineers ready to own an AI feature from design review to production.

Udgivelsesdato

E-bog: 21. april 2026