Description
Building Agentic AI Systems is a detailed guide for developing intelligent, autonomous AI agents capable of reasoning, planning, and adapting to dynamic environments. Authored by Anjanava Biswas and Wrick Talukdar, this book explores the foundations of generative AI and agentic architectures. It delves into decision-making frameworks, self-improvement mechanisms, and adaptability, providing insights into advanced design techniques such as multi-step planning and tool integration.
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The book emphasizes the importance of trust, safety, and ethics in AI development, ensuring that systems align with human values and operate transparently. Real-world applications demonstrate how agentic AI can transform industries like automation, finance, and healthcare. Readers will gain a deep understanding of AI frameworks, prompt engineering, and multi-agent collaboration, equipping them to build next-generation adaptive, scalable AI agents.
Ideal for AI developers, machine learning engineers, and software architects, the book is perfect for those with a strong foundation in machine learning and programming, particularly in Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for newcomers to agentic systems.
- CategoryAI Agent Builders
Book Details
Foundations of generative AI and agentic systems
Advanced design techniques for AI agents
Multi-step planning and tool integration
Trust, safety, and ethics in AI development
Real-world applications in various industries
AI frameworks and prompt engineering
Multi-agent collaboration
Scalable AI agent design
Who This Book Is For
- AI Development
- Ethical AI
- Industry Transformation
- AI Frameworks
- Multi-Agent Collaboration
