Build AI Agents That Think, Reason, and Act - Using Proven Design Patterns, Advanced Workflows, and Production-Ready Architectures Modern AI has reached a turning point. Models are no longer just completing text - they are reasoning, planning, executing tools, automating tasks, and powering autonomous systems across every industry. To build these next-generation systems, you need more than prompts. You need patterns. In Mastering Patterns for Building AI Agents, senior AI engineer Freddie Becka delivers the definitive, deeply technical guide to designing, implementing, and deploying autonomous and multimodal LLM agents at production scale. Written for advanced developers, ML engineers, and applied researchers, this book reveals the architectures, principles, and real-world best practices behind today's most powerful agentic systems. Whether you are building a coding assistant, research agent, workflow automation pipeline, multimodal perception agent, or enterprise knowledge system, this book gives you the conceptual mastery and practical frameworks needed to operate at the highest level. What You Will Learn Master Foundational Agent Patterns The evolution of agentic AI and why modern systems differ from earlier paradigms Core reasoning and interaction patterns: ReAct, Plan-and-Execute, Toolformer, Reflection Loops, and more Benefits, trade-offs, and performance implications of each pattern Design High-Impact, Real-World Agents Autonomous action loops and tool orchestration Memory systems: vector, episodic, long-term, and hybrid patterns Retrieval-Augmented Generation (RAG) for knowledge-rich agents Multimodal pipelines that combine vision, text, audio, and structured data Build Enterprise-Ready Architectures End-to-end agent workflows using LangGraph and LangChain State graphs, DAG orchestrators, deterministic routing, and safe execution flows Structured tool calling and secure API integration Observability, logging, monitoring, and evaluation for agents in production Go Beyond Prompts - With Real Code and Full Projects Complete, runnable Python examples Line-numbered LangChain and LangGraph implementations Debugging, optimization, throughput tuning, and reliability engineering Mini-projects that mirror real enterprise use cases Who This Book Is ForThis book is written for experienced practitioners who want deep, actionable knowledge: AI/ML engineers Software developers building LLM-powered applications Data scientists implementing autonomous workflows Applied researchers exploring agentic architectures Technical founders and system designers building production AI systems If you are ready to move beyond surface-level tutorials and build true, intelligent agents that perform, scale, and deliver - this is your playbook. Why This Book Matters NowAgents are becoming the default interface for automation, knowledge work, analysis, coding, and decision-making. Companies are deploying them across operations, finance, legal, research, support, and engineering. The only engineers who will thrive in this new era are those who understand patterns, systems, and architecture - not shortcuts. Mastering Patterns for Building AI Agents gives you that mastery.