Pragati Kunwer

    Pragati Kunwer

    AI · English

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    Who Is Pragati Kunwer?

    Pragati Kunwer is a technical educator and AI practitioner dedicated to democratizing advanced software engineering and artificial intelligence. Specializing in cutting-edge orchestration frameworks like LangChain and advanced Retrieval-Augmented Generation (RAG) pipelines, Pragati bridges the gap between complex conceptual AI and real-world implementation. With a teaching philosophy rooted deeply in practical, hands-on construction, she avoids purely theoretical lectures in favor of interactive builds where students assemble, test, and deploy functional AI systems. Her instructional design is tailored for developers, engineers, and tech innovators who need to stay ahead of the rapidly evolving AI landscape. Through her step-by-step guidance, students learn to connect Large Language Models to external data sources, manage stateful agentic memories, and orchestrate autonomous workflows. Pragati's ultimate goal is to empower her students to move beyond simple prompt engineering and instead engineer robust, resilient AI agents capable of solving sophisticated business problems and automating complex tasks in modern production environments.

    Overview of Pragati Kunwer

    CategoryAI
    LanguageEnglish
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    Pragati Kunwer's Programs

    AI Agents Bootcamp: Build with LangChain, RAG & ANY LLM 2025 bannerHighest rated
    AI Agents Bootcamp: Build with LangChain, RAG & ANY LLM 2025AI Agents

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    The AI Agents Bootcamp for 2025 offers a comprehensive, hands-on deep dive into the rapidly evolving landscape of autonomous AI systems. This course moves beyond simple chatbot building, focusing instead on the architectural complexities of multi-agent orchestration and production-ready deployments. By leveraging industry-standard frameworks such as LangChain, LangGraph, CrewAI, and AutoGen, students learn how to bridge the gap between static LLM interactions and dynamic, task-oriented agents that can reason, plan, and execute workflows across external tools. A major highlight of the curriculum is the mastery of Retrieval-Augmented Generation (RAG) pipelines, which are essential for grounding AI outputs in proprietary, real-time data. Furthermore, the course emphasizes framework-agnostic learning, teaching students how to swap models like DeepSeek-R1 or Ollama to suit specific hardware or budgetary requirements. Whether you are aiming to automate repetitive SaaS business processes or build next-generation autonomous software, this bootcamp provides the technical foundation needed to design, test, and deploy resilient multi-agent systems in modern production environments.

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    FAQ

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    What is Pragati Kunwer's background in AI?

    Pragati is an AI educator and practitioner who specializes in building practical applications with Large Language Models (LLMs). She focuses heavily on modern development frameworks like LangChain, custom RAG pipelines, and agentic workflows, translating complex AI research into actionable software patterns.

    What is her teaching style like?

    Her teaching style is highly pragmatic and project-driven. Rather than spending hours on abstract theory, she prioritizes live coding, architecture diagramming, and real-world deployment exercises so that students walk away with functioning AI applications.

    Who can benefit most from her courses?

    Her courses are designed for software engineers, web developers, tech enthusiasts, and product professionals who want to transition from simple prompt engineering to building fully autonomous, stateful, and production-ready AI agents.

    Which specific tools and technologies does she teach?

    She teaches the modern AI stack, focusing on LangChain, custom Retrieval-Augmented Generation (RAG) systems, vector databases, API integrations, and orchestrating multiple LLMs to work together as cooperative agents.

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