Python Powered Ai Agents
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Python-Powered AI Agents
Author: Dexter Williams
language: en
Publisher: Independently Published
Release Date: 2025-08-25
AI agents are reshaping the digital landscape, powering everything from autonomous vehicles to conversational assistants. Built on advances in machine learning, deep learning, and reinforcement learning, these intelligent systems interpret data, make decisions, and perform complex tasks with minimal human intervention. The technology behind AI agents is fueling a revolution-automating workflows, optimizing operations, and enabling scalable solutions across industries such as healthcare, finance, retail, robotics, and beyond. What you'll get: Clear, essential concepts in AI agent design and development. Practical guidance on machine learning, deep learning, and reinforcement learning techniques relevant to agent behavior. Step-by-step, hands-on projects, including chatbots, autonomous navigation agents, and multi-agent systems. Best practices for deploying, scaling, and monitoring AI agents in production environments. Strategies for continuous improvement, model optimization (pruning, quantization, distillation), and handling real-world challenges like safety, robustness, and bias. This comprehensive guide walks you through the complete journey of building AI agents-from foundational theory to real-world deployment. You'll learn how to architect intelligent behavior, integrate models for perception and decision making, and build systems that adapt and learn over time. With detailed explanations, tested code examples, and end-to-end projects, this book empowers you to design scalable, production-ready AI agents capable of operating in complex environments. This book is for developers, engineers, data scientists, and technology enthusiasts who want to build practical, impactful AI solutions. It's ideal for readers with some programming experience who are ready to deepen their understanding of AI and ship real systems whether you work at a startup, in a research lab, or within a large enterprise. Build the agents that deliver results.
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.