Kiril Spiridonov

    Kiril Spiridonov

    English

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    Who Is Kiril Spiridonov?

    Kiril Spiridonov is a software engineer and technical educator specializing in bridging the gap between raw data analysis and practical Artificial Intelligence implementation. With a deep focus on the modern Python ecosystem, Kiril is passionate about showing developers, data professionals, and tech enthusiasts how to construct working, production-ready AI agents. His teaching philosophy revolves around project-based learning, moving quickly past theoretical abstractions to help students build tangible tools they can deploy immediately. In his courses, such as those detailing how to construct a Data Analyst AI Agent using Llama and Flask, Kiril breaks down complex LLM integration concepts into manageable,…

    Overview of Kiril Spiridonov

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    Kiril Spiridonov's Programs

    Building a Simple Data Analyst AI Agent with Llama and Flask bannerHighest rated

    Building a Simple Data Analyst AI Agent with Llama and Flask

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    Bridge the gap between data analysis and AI orchestration. This practical course, "Building a Simple Data Analyst AI Agent with Llama and Flask" created by Kiril Spiridonov, offers a comprehensive blueprint for developers and data professionals looking to leverage local Large Language Models (LLMs) for real-world business intelligence. Students will move beyond basic API queries to deploy the open-source Llama model locally, minimizing reliance on expensive cloud providers and maintaining data privacy. The curriculum breaks down advanced prompt engineering paradigms such as In-Context Learning (ICL), Chain of Thought (CoT), and Tree of Thought (ToT) to structure complex logical reasoning. Through hands-on exercises, learners build a Flask web application that connects seamlessly with a PostgreSQL database. By mastering targeted prompt design, you will teach your AI agent to translate natural language user questions into precise SQL queries, execute them safely, and synthesize the results back into plain English. This course is ideal for software engineers, data analysts, and backend developers wanting to build cost-effective, secure, and private AI agents without paid API dependencies.

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    FAQ

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    Kiril utilizes a code-first, project-based teaching philosophy. He bypasses long theoretical lectures to focus on building functional software step-by-step, explaining design patterns and engineering trade-offs dynamically as they arise.