Introduction to Agentic AI
Unlocking the Potential of Self-Improving AI SystemsBy Anand Vemula
Length1h 36m
About this audiobook
Introduction to Agentic AI: Unlocking the Potential of Self-Improving AI Systems explores the evolution, architecture, and real-world applications of autonomous, adaptive, and self-improving AI agents. Unlike traditional AI models, Agentic AI systems exhibit autonomy, goal-driven behavior, and the ability to learn and optimize over time without human intervention.
The book begins by defining the core principles of Agentic AI, highlighting its distinction from conventional machine learning systems. It delves into key components such as cognitive architectures, decision-making frameworks, multi-agent collaboration, reinforcement learning, and memory management, explaining how AI agents perceive, reason, and adapt. Advanced techniques like hybrid AI architectures, self-optimization loops, and meta-learning are discussed in depth, demonstrating how AI agents continuously refine their capabilities.
Practical applications of Agentic AI are explored in healthcare, autonomous vehicles, finance, business automation, and multi-agent systems. The book examines real-world challenges, including AI alignment, security threats, ethical dilemmas, and regulatory compliance, ensuring responsible deployment of self-improving AI.
Finally, the book looks ahead to the future of AI, covering advancements toward Artificial General Intelligence (AGI), the role of explainable AI (XAI), and the emerging trends shaping next-generation AI systems.
Audiobook details
GenreEducation and Learning, Self-Help
Length1 hr 36 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateMay 20, 2025
LanguageEnglish
Table of contents
1Defining Agentic AI and Its Core Characteristics
2Perception, Reasoning, and Decision-Making
3Hybrid Architectures: Combining Rule-Based and Deep Learning Approaches
4Goal-Oriented and Task-Specific Agents
5Policy-Based and Value-Based Learning Methods
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6Vector Databases and Knowledge Graphs for AI Agents
7Agentic AI in Conversational and Assistive AI Systems
8Bias and Fairness in Agentic AI
9The Future of Self-Improving AI Systems
10The Roadmap to General Artificial Intelligence (AGI)
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