Ai Agents In Python
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Build AI Agents with Python
Author: Eidan Crest
language: en
Publisher: Independently Published
Release Date: 2025-11-17
AI has changed-but tutorials haven't. Most guides stop at simple chatbots and ignore what developers really need today: agentic AI Python skills-how to design, build, and ship intelligent systems that plan, act, call tools, and integrate with real-world workflows. If you're a developer trying to build AI agents that go beyond text replies and actually perform tasks, you've probably felt the gap: fragmented resources, partial examples, and no clear path from prototype to production. This book closes that gap. It is your complete, end-to-end AI agent orchestration and engineering playbook-focused on real-world Python automation AI and modern frameworks. If you want to become the developer who can design, implement, and ship serious AI systems, this is the guide you've been looking for. With this book, you will: Master the core patterns of agent engineering - reasoning loops, planning, memory, tools, safety, and governance, all implemented in clean, production-ready agentic AI Python code. Build practical, real-world projects - from single agents to complex multi agent systems Python architectures that collaborate, debate, and delegate work. Learn LangGraph the right way - with a hands-on, step-by-step LangGraph tutorial that shows you how to model nodes, edges, and state for research, coding, and document workflows. Use Autogen in real scenarios - not just basic demos, but a full Autogen Python guide that walks you through interdependent agents, conversational loops, human-in-the-loop approvals, and safe execution. Turn your data into intelligence with LlamaIndex - build robust LlamaIndex RAG agents that index documents, perform retrieval-augmented generation, and plug cleanly into your wider agent ecosystem. Engineer powerful Python tool-calling agents - design and implement Python tool calling agents that interact with APIs, databases, files, browsers, and OS-level tools using structured, validated functions. Automate real workflows, not just prompts - build full AI workflow automation systems that handle research, reporting, coding, web tasks, and business operations from end to end. Deploy with confidence - apply best practices for testing, evaluation, monitoring, and AI agent orchestration using FastAPI, Docker, serverless platforms, and observability tooling. Whether you're a software engineer, data scientist, ML engineer, indie hacker, or technical founder, this book gives you the skills and patterns to move beyond simple scripts and into robust, scalable Python automation AI systems that deliver real value.
Digital Worker: An AI Agent using Python : Learn in just 3 hours
Author: QuickTechie | A career growth machine
language: en
Publisher: QuickTechie | A Career growth Machine
Release Date: 2025-02-01
Digital Worker: An AI Agent using Python Learn in Just 3 Hours" is a practical guide focused on enabling developers, tech enthusiasts, and business professionals to rapidly create and deploy AI-powered digital workers. This book emphasizes a hands-on approach to building AI agents using Python, making it accessible even for those with minimal prior experience in AI development. Designed to be completed within a focused three-hour timeframe, the book eschews lengthy theoretical explanations in favor of practical application. According to the book's approach, readers will quickly learn to build intelligent AI agents leveraging Python and contemporary AI frameworks. This includes understanding how to automate various tasks through the use of AI-driven decision-making processes and natural language processing (NLP). This knowledge will allow readers to integrate their custom-built AI workers into diverse real-world scenarios such as customer support systems, financial applications, and general enterprise automation solutions, as highlighted by the practical examples offered. Furthermore, the book offers guidance on optimizing and scaling AI agents, ensuring they operate with both efficiency and accuracy. The learning is structured through step-by-step tutorials and grounded in real-world examples, allowing the reader to quickly grasp fundamental AI concepts and begin implementing AI digital workers without months of preparatory study. As QuickTechie.com might endorse, whether you are a developer seeking to enhance your skills, an entrepreneur aiming to integrate automation into your business processes, or simply an AI enthusiast eager to explore practical applications, this book provides a rapid and effective pathway to harnessing the power of automation and AI. The book empowers individuals to start creating and deploying AI solutions quickly without a long and complex learning process.
Mastering AI Agents with Python
Author: Cole Merriweather
language: en
Publisher: Independently Published
Release Date: 2025-11-19
Mastering AI Agents with Python is a comprehensive, project-driven guide for developers, Python enthusiasts, data scientists, and technical innovators who want to build intelligent, autonomous software agents that think, reason, learn, and act. This hands-on book demystifies the rapidly evolving world of AI agents-from conversational assistants and task-performing workers to fully orchestrated multi-agent systems capable of complex real-world collaboration. Packed with practical examples, modern architectures, and production-ready design patterns, this book teaches you how to build Python-based agents powered by LLMs, tools, memory, reinforcement learning, retrieval systems, and agent-to-agent communication. Whether you're developing smart chatbots, automated knowledge workers, AI-driven automation systems, or next-gen AI applications, this guide gives you the actionable frameworks and reusable code templates you need to ship sophisticated agents with confidence. You will learn how to: Build autonomous agents that reason, plan, and take actions Implement tool-using agents that interact with APIs, browsers, and external systems Develop chain-of-thought reasoning, memory modules, and contextual intelligence Create intelligent chatbots, RAG systems, and domain-specific assistants Orchestrate multi-agent systems with specialized roles and coordinated workflows Deploy, optimize, and scale agents in production environments This is your complete roadmap for becoming an expert AI-agent developer using Python.