Leonid Kuligin

Packt Expert

Leonid Kuligin

Leonid Kuligin is a staff AI engineer at Google Cloud specializing in generative AI and machine learning. He has over 20 years of experience developing data-driven applications across technology, finance, and retail sectors.

4 Courses by Leonid Kuligin

Cover image for Architecting Generative AI Applications

Architecting Generative AI Applications

Build, deploy, and scale production-ready GenAI systems with LLMOps best practices

Learn how to move from AI prototypes to robust, production-ready generative AI systems. Explore proven engineering practices for designing, deploying, and scaling applications that are reliable, secure, and maintainable. Gain practical skills to operationalize AI solutions in real-world environments.

Packt | 2026 | 278 min

Cover image for Architecting Generative AI Applications

Architecting Generative AI Applications

Build, deploy, and scale production-ready GenAI systems with LLMOps best practices

Learn how to move generative AI applications from early prototypes to robust, production-ready systems. Explore proven engineering practices for designing, evaluating, and scaling AI solutions that are secure, reliable, and maintainable in real-world environments.

Packt | 2026 | 278 min

Cover image for Generative AI on Google Cloud with LangChain

Generative AI on Google Cloud with LangChain

Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud

Explore how to design and deploy scalable generative AI solutions using Python, LangChain, and Google Cloud's Vertex AI. Learn to connect large language models with real-world data and build robust applications for tasks like text generation and summarization. Gain practical skills for enterprise-ready AI development.

Packt | 2024 | 306 min

Cover image for Generative AI with LangChain

Generative AI with LangChain

Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph

Explore how to move from AI prototypes to production-ready applications using Python, LangChain, and LangGraph. Learn to design advanced agentic systems, implement robust RAG pipelines, and ensure your solutions are secure and scalable for real-world deployment.

Packt | 2025 | 484 min