Java AI Engineer – Complete Six-Volume Collection

Master AI Engineering with Java. From Foundations to Enterprise Architecture.

6 Volumes | 120 Chapters | PDF + EPUB + Source Code

ONE COMPLETE JOURNEY. SIX VOLUMES. 120 CHAPTERS.

Are you a Java developer ready to move into AI engineering?

The Java AI Engineer – Six-Volume Collection by Java Puzzle Publication is a practical learning journey designed to help Java developers understand, build, architect, and engineer modern AI-powered applications.

Go beyond basic LLM integration. Learn how to build intelligent applications using Spring AI, connect language models to enterprise knowledge, develop autonomous agents, engineer reliable production systems, design scalable AI architectures, and prepare for AI engineering interviews.

The entire journey is focused on Java, with no Python dependency required.

EXPLORE ALL SIX VOLUMES

VOLUME 01 — AI Foundations & Spring AI

FOUNDATIONS — UNDERSTAND AI

Bridge the gap between enterprise Java development and modern AI engineering.

Learn the fundamentals of language models, tokens, embeddings, prompt engineering, and structured JSON outputs. Explore Spring AI architecture and build resilient AI services with memory, testing, and guardrails.

What You'll Learn:

• LLM fundamentals, tokens, and embeddings
• Prompt engineering and structured outputs
• Spring AI architecture and integration
• AI memory and resilience
• Testing and guardrails for AI applications

VOLUME 02 — RAG & Knowledge Systems

KNOWLEDGE — GROUND AI IN YOUR DATA

Make language models understand your private enterprise data.

Master Retrieval-Augmented Generation (RAG), chunking strategies, vector databases, hybrid search, reranking, GraphRAG, and document security. Learn how to build knowledge systems that retrieve relevant information and reduce hallucinations.

What You'll Learn:

• RAG architecture and implementation
• Chunking strategies and embeddings
• Pgvector, Qdrant, and Milvus
• Hybrid BM25 and dense retrieval
• Reranking and GraphRAG
• Retrieval evaluation and document security

VOLUME 03 — Agentic AI & MCP

AGENTS — GIVE AI THE ABILITY TO ACT

Move beyond passive chatbots and build autonomous Java agents.

Explore Tool Calling, ReAct loops, LangChain4j, Anthropic's Model Context Protocol (MCP), stateful workflows, and multi-agent systems. Understand how agents reason, plan, interact with tools, and execute tasks within controlled boundaries.

What You'll Learn:

• Autonomous Java agents
• Tool Calling and ReAct loops
• LangChain4j
• Model Context Protocol (MCP)
• MCP clients, servers, and orchestration
• Stateful workflows and multi-agent systems
• Execution tracing and guardrails

VOLUME 04 — Enterprise AI Engineering

PRODUCTION — BUILD FOR REALITY

Turn working AI prototypes into reliable enterprise applications.

Learn how to handle AI failure modes, control token costs, protect sensitive information, prevent prompt injection, implement distributed tracing, and manage provider failures. Understand observability, deployment, service degradation, and production incident response.

What You'll Learn:

• 12 AI failure modes
• Prompt injection prevention
• PII redaction and data protection
• Token budgets and cost guardrails
• Provider failure handling
• Distributed tracing and observability
• Production deployment and incident response

VOLUME 05 — Architecture & System Design

ARCHITECTURE — DESIGN AT SCALE

Learn to design fault-tolerant, low-latency AI-native enterprise systems.

Explore event-driven AI streaming with Kafka, multi-tenant vector sharding, hybrid cloud deployments, and high-availability disaster recovery. Understand the architectural decisions required to build AI systems that scale.

What You'll Learn:

• AI-native enterprise architecture
• Fault-tolerant and low-latency systems
• Event-driven AI streaming with Kafka
• Multi-tenant vector sharding
• Hybrid cloud deployments
• High availability and disaster recovery
• Enterprise AI system design tradeoffs

VOLUME 06 — Interview Mastery

INTERVIEWS — TURN KNOWLEDGE INTO OPPORTUNITY

Prepare to demonstrate your AI engineering skills with confidence.

Strengthen your technical knowledge through 50 rapid-fire questions, production live-coding patterns, system design and whiteboarding frameworks, behavioral STAR narratives, and three comprehensive mock interview deep dives.

What You'll Learn:

• 50 rapid-fire technical questions
• AI engineering interview preparation
• Production-oriented live-coding patterns
• System design and whiteboarding frameworks
• Behavioral interviews using STAR
• Three comprehensive mock interview deep dives

WHAT MAKES THIS COLLECTION DIFFERENT?

Java-First AI Engineering

Learn modern AI engineering concepts through the Java ecosystem rather than depending on Python-based workflows.

A Connected Six-Volume Learning Path

Each volume builds on the previous one, taking you from AI fundamentals to enterprise-scale architecture and interview readiness.

Practical Engineering Focus

Understand not just how technologies work, but how to apply them to real engineering challenges.

Enterprise-Oriented Learning

Explore knowledge retrieval, agent orchestration, production reliability, security, observability, scalability, and system design.

Source Code Included

Get accompanying source code to support your learning and practical exploration.

WHO SHOULD GET THIS COLLECTION?

This collection is designed for:

• Java developers entering AI engineering
• Spring Boot developers building AI-powered applications
• Backend engineers exploring LLMs, RAG, and AI agents
• Senior developers preparing for enterprise AI projects
• Software architects designing AI-native systems
• Developers preparing for AI engineering interviews

Basic Java knowledge is expected. Familiarity with REST APIs and Spring Boot is helpful.

WHAT'S INCLUDED IN THE BUNDLE?

Collection: Java AI Engineer – Six-Volume Collection

Publisher: Java Puzzle Publication

Total Volumes: 6

Total Chapters: 120

Format: PDF + EPUB (ZIP)

Source Code: Accompanying source code included

Delivery: Instant digital download

Edition: DRM-Free

Access: Lifetime access

Updates: Lifetime updates

You receive all six volumes together in one complete collection.

YOUR COMPLETE JAVA AI ENGINEERING JOURNEY STARTS HERE.

Don't just learn how to call an AI API.

Learn how to build intelligent applications, connect them to enterprise knowledge, develop autonomous agents, engineer production-ready systems, design scalable architectures, and confidently demonstrate your expertise.

Understand AI. Ground the Answers. Give AI Tools. Build for Production. Design at Scale. Master the Interview.

Six volumes. 120 chapters. One complete Java AI engineering journey.

JAVA PUZZLE PUBLICATION

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