The Agentic AI Engineer’s Handbook: Tools, Frameworks & Architectures

Agentic AI Engineering System: The End of Prompt Engineering | Architecting State-Aware Agents and Autonomous Swarms

Multi-Agent AI Engineering: Design, build, and operate AI systems that think and act as coordinated teams

DSPy Agentic AI Engineering: Build AI Agents, RAG Pipelines, Tool-Calling Systems, and Production-Ready LLM Applications with DSPy

Agentic AI Engineering with Python: Designing Autonomous Systems, Tool Using Agents, and Production Ready Workflows (The Applied Agentic AI Engineering Series)

Agentic AI Engineering with LangChain & LangGraph: Design, Build, Test, and Deploy Production-Ready LLM Systems — 2026 and Beyond

Agentic AI Engineering Automation in 2026: Designing Autonomous Systems with Intelligent Agents, Tools, and Multi-Step Reasoning (Intelligent Systems Engineering Automation Series)

DSPy Agentic AI Engineering: Build AI Agents, RAG Pipelines, Tool-Calling Systems, and Production-Ready LLM Applications with DSPy

Agentic AI Engineering with LangChain & LangGraph: Design, Build, Test, and Deploy Production-Ready LLM Systems — 2026 and Beyond

Agentic AI Engineering with Microsoft Foundry: Design, Build, Evaluate, Monitor, and Deploy Enterprise AI Agents That Solve Real Business Problems

Agentic AI Engineering with Python: Designing Autonomous Systems, Tool Using Agents, and Production Ready Workflows: 1 (The Applied Agentic AI Engineering Series)

Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment

Agentic Ai Engineering With Langchain & Langgraph: Build reliable multi-agent systems, production-ready workflows, and advanced llm applications with python

Agentic AI Engineering with Azure AI Foundry SDK: From Model Catalogs to Production-Ready Chatbots and Automation: 1 (AI, Autonomous Agents & Enterprise Intelligence)

Agentic AI Engineering with Claude Code and MCP: Build Production-Ready AI Agents, Automated Workflows, and Scalable Multi-Agent Systems Beyond Prompt Engineering

Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment (The Applied Agentic AI Engineering Series)

Agentic AI Engineering with Python: Design, Build, and Deploy Intelligent Agents, Chatbots, and Autonomous Automation Systems with LLMs, Reinforcement Learning, and Open-Source Frameworks

Agentic AI Engineering with Python: Design, Build, and Deploy Intelligent Agents, Chatbots, and Autonomous Automation Systems with LLMs, Reinforcement Learning, and Open-Source Frameworks

The Agentic AI Engineering & Production Bible: How to Build, Deploy and Scale Enterprise AI Agents with Governance, Security, Monitoring and ROI Optimization - From Confusion to Clarity

Fine Tuning LLM Practical Implementation and Adaptation: Domain Specific Model Training, Optimization Strategies, and Responsible Deployment: 3 (The Applied Agentic AI Engineering Series)

Agentic AI Engineering with Microsoft Foundry: Design, Build, Evaluate, Monitor, and Deploy Enterprise AI Agents That Solve Real Business Problems (AI agents Made Easy from Scratch)

The No-BS Agentic AI Engineering Manual: Build Autonomous LLM Agents That Actually Work, 20+ Copy-Paste Templates, Framework Comparisons, Debugging Workflows Without Fragile Demos or Glued APIs

Agentic AI Engineering Meisterkurs: Autonome KI-Agenten bauen und deployen: 8 reale Projekte mit OpenAI SDK, CrewAI, LangGraph, AutoGen und MCP – Von ... bis fortgeschrittene Multi-Agent-Systeme