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Mastering Agentic AI: Building Autonomous AI Agents with LLMs, Reinforcement Learning, and Multi-Agent Systems
The future of artificial intelligence isn’t just about prediction and automation—it’s about autonomy, intelligence, and decision-making. We are entering an era where AI agents can reason, plan, and act independently, revolutionizing industries and human-AI collaboration.
Mastering Agentic AI is your definitive guide to designing and deploying self-learning, autonomous AI agents that can analyze environments, make complex decisions, and execute tasks with minimal human input. Whether in scientific discovery, financial trading, robotics, or cybersecurity, AI agents are reshaping the world—and this book gives you the tools to build them.
What You’ll Learn Inside🔹 Architecting Intelligent AI Agents – Design AI systems with perception, memory, reasoning, and autonomous decision-making.
🔹 Mastering LLMs, Reinforcement Learning, and AI Tool Use – Harness the power of GPT-based models, RL algorithms, and external APIs to enhance AI capabilities.
🔹 Building Fully Functional AI Agents – Implement real-world AI with LangChain, Auto-GPT, and Microsoft Semantic Kernel.
🔹 Multi-Agent Systems and AI Collaboration – Develop AI that works with (or against) other agents in cooperative and competitive environments.
🔹 AI in Action – Explore how AI is revolutionizing industries, from autonomous research and business automation to self-learning robotics.
🔹 Ethical AI, Bias Mitigation, and Safety – Address critical challenges in AI governance, adversarial attacks, and regulatory compliance.
🔹 The Future of AI Autonomy – Discover how AI-driven governance, agentic research, and decentralized intelligence will shape the next frontier of innovation.
Unlike traditional AI models that rely on static inputs, agentic AI systems evolve, adapt, and optimize in real-time—and this book will show you how to build them from the ground up. Packed with hands-on coding examples, real-world applications, and cutting-edge insights, Mastering Agentic AI is an essential read for AI researchers, developers, and industry leaders who want to stay ahead in the AI revolution.
Step into the future of AI. Build agents that think, act, and evolve. 🚀
Mastering Agentic AI is your definitive guide to designing and deploying self-learning, autonomous AI agents that can analyze environments, make complex decisions, and execute tasks with minimal human input. Whether in scientific discovery, financial trading, robotics, or cybersecurity, AI agents are reshaping the world—and this book gives you the tools to build them.
What You’ll Learn Inside🔹 Architecting Intelligent AI Agents – Design AI systems with perception, memory, reasoning, and autonomous decision-making.
🔹 Mastering LLMs, Reinforcement Learning, and AI Tool Use – Harness the power of GPT-based models, RL algorithms, and external APIs to enhance AI capabilities.
🔹 Building Fully Functional AI Agents – Implement real-world AI with LangChain, Auto-GPT, and Microsoft Semantic Kernel.
🔹 Multi-Agent Systems and AI Collaboration – Develop AI that works with (or against) other agents in cooperative and competitive environments.
🔹 AI in Action – Explore how AI is revolutionizing industries, from autonomous research and business automation to self-learning robotics.
🔹 Ethical AI, Bias Mitigation, and Safety – Address critical challenges in AI governance, adversarial attacks, and regulatory compliance.
🔹 The Future of AI Autonomy – Discover how AI-driven governance, agentic research, and decentralized intelligence will shape the next frontier of innovation.
Unlike traditional AI models that rely on static inputs, agentic AI systems evolve, adapt, and optimize in real-time—and this book will show you how to build them from the ground up. Packed with hands-on coding examples, real-world applications, and cutting-edge insights, Mastering Agentic AI is an essential read for AI researchers, developers, and industry leaders who want to stay ahead in the AI revolution.
Step into the future of AI. Build agents that think, act, and evolve. 🚀
349 pages, Kindle Edition
Published April 5, 2025
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