This book equips AI developers, machine learning engineers, and software architects with the knowledge and tools needed to design, build, and deploy scalable autonomous agents. Beginning with foundational concepts in LLMs and agent architectures, the book transitions into hands-on design patterns and real-world implementation guidance. Readers will follow practical Python examples using cutting-edge frameworks like LangChain and AutoGen, with full reproducible code available on GitHub.

Emphasizing engineering essentials scalability, interoperability, observability, and ethics the book dives into multi-agent coordination, including emerging protocols such as MCP and A2A. It wraps up with compelling case studies from customer service bots to multi-agent analytics systems demonstrating how to build secure, stable, and trust-aligned AI agents. This guide bridges theory with practice for the modern AI practitioner.

You Will:

• Discover reusable patterns such as reactors, planners, and tool-using agents that power effective autonomous systems.
• Learn to build agents using Python with popular frameworks like LangChain and AutoGen, complete with reproducible GitHub code.
• Dive into cutting-edge coordination mechanisms (e.g., MCP, A2A) that enable agents to collaborate and assign tasks dynamically.

This book is for : Software Architects & System Designers

Avnish Kumar is a GenAI infrastructure specialist and Senior Software Engineer and he leads the architecture and scaling of AWS Bedrock’s hosting platform for advanced large language models, including Anthropic’s Claude. A former startup CTO and IIT–Cornell alumnus, he has built distributed AI systems processing billions of tokens daily and played a key role in launching core Bedrock features such as prompt caching, reducing customer costs by 90%. As a recognized technical leader, Avnish has judged global AI hackathons (MCP Agents, OSS4AI) and served as a reviewer for top IEEE conferences, including DSN and COMPSAC. He is a two-time AWS Hackathon winner and a frequent speaker on secure and scalable AI infrastructure. Passionate about the future of agentic AI, his work bridges deep systems engineering with applied ML to drive enterprise-grade reliability, security, and performance in generative AI applications.

Ashish Ranjan is a seasoned technology leader and innovator in the field of Agentic AI, currently serving as Vice President of Engineering at Leena AI—a leading conversational AI company founded in 2018 and now headquartered in New York. With over 13 years of experience spanning startups and high‑growth enterprises, Ashish has built and scaled engineering teams to deliver intelligent, autonomous systems. Prior to joining Leena AI in early 2025, he led critical engineering efforts at Delhivery—India’s largest logistics unicorn—as Director of Engineering, following key roles as Senior Engineering Manager and Engineering Manager. Earlier in his career, he co‑founded forBinary (2016–2020), drove backend development at Gigster, and contributed to platforms at Housing.com and GulfTalent
A graduate of IIT Delhi with a BTech in Electrical Engineering, Ashish has a passion for designing AI architectures that power real‑world impact.

Saptarshi Banerjee is a distinguished AI/ML expert and Senior Solutions Architect. Services specializing in enterprise Generative AI implementations and serverless technologies. A renowned speaker at major tech conferences like AWS Re:invent , AWS DC Summit, AI+Expo, he has delivered impactful presentations to audiences of 50,000+ attendees, including sessions on Generative AI, Serverless etc.As a thought leader in the public sector and commercial technology space, Saptarshi has presented specialized sessions on secure application development and AI-driven cloud migrations. He has also shared his expertise at the Cloud Security Alliance AI Summit, addressing industry leaders on AI governance and ethical implementation.