Ashish Ranjan – författare

Luv is an innocent child from a lower middle class Indian family. As he grows older, his feelings shuttle between love and lust. Unaware about the problems, that their son is passing through, his parents continue exerting pressure on him to excel in academics. Incognisant of the cons of love, he falls in love with a girl in his initial school days inviting problems. His mind and heart are in constant battle. The heroine does not understand his feelings and falls in love with someone else. Coherent pressure of studies continues from his parents. He introspects if he should succumb or commit suicide. Will that girl realize his love before it is too late? Will he value relationships or career more? Will his parents guide him as a friend? Will the love of Luv, find its way?The story makes you think about your past and its own craziness. It's a story not just for youths, but also for Indian parents.

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