Arnab Das

    Arnab Das

    English

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    Who Is Arnab Das?

    Arnab Das is a seasoned systems architect and artificial intelligence engineer dedicated to demystifying the complexities of agentic workflows. With a deep-seated passion for practical software engineering, Arnab focuses on helping developers transition from basic API integration to building resilient, self-healing, and production-grade AI agent systems. His course, "AI Agent Engineering: Build Production Ready Agentic Systems," reflects his core teaching philosophy: that real-world AI applications require rigorous testing, structured orchestration, and predictable performance. Arnab's instructional approach is deeply hands-on, guiding learners through architectural patterns, error handling, state management, and multi-agent collaboration frameworks. By breaking down complex abstract concepts into modular,…

    Overview of Arnab Das

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    Arnab Das's Programs

    AI Agent Engineering: Build Production Ready Agentic Systems bannerHighest rated

    AI Agent Engineering: Build Production Ready Agentic Systems

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    AI Agent Engineering: Build Production Ready Agentic Systems takes you beyond basic chatbot development into the sophisticated realm of autonomous AI architecture. Unlike introductory courses that focus solely on simple prompt engineering, this program centers on the structural integrity and reliability of agentic workflows. Participants will deep-dive into the technical stack required to move from experimental prototypes to robust, production-grade applications. By leveraging industry-standard frameworks like LangChain and LangGraph, you will master the complexities of agent memory, tool-based reasoning, and multi-agent collaboration. The curriculum covers the critical infrastructure required for modern AI, including the integration of Model Context Protocol (MCP) and building performant APIs using FastAPI. A significant portion of the course is dedicated to the 'operational' side of AI, focusing on observability through tools like Langfuse, implementing security guardrails, and managing agent-to-agent (A2A) communication protocols. This comprehensive approach ensures you gain the skills needed to design, deploy, and monitor scalable systems that perform reliably in real-world environments. Whether you are an AI engineer looking to standardize your deployment workflow or a developer transitioning into agentic system design, this course provides the rigorous methodology needed to build intelligent systems that work autonomously and safely.

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    Arnab has extensive experience working as a systems designer and software engineer, specializing in scalable backends and distributed systems. He has spent years operationalizing Large Language Models (LLMs) and designing orchestrated multi-agent systems that handle complex, enterprise-level tasks.