{"id":10747,"date":"2026-08-10T10:23:05","date_gmt":"2026-08-10T10:23:05","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-llm-engineering-in-practice-with-streamlit-and-openai-2025-1\/"},"modified":"2026-08-10T10:23:05","modified_gmt":"2026-08-10T10:23:05","slug":"udemy-llm-engineering-in-practice-with-streamlit-and-openai-2025-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-llm-engineering-in-practice-with-streamlit-and-openai-2025-1\/","title":{"rendered":"Udemy \u2013 LLM Engineering in Practice with Streamlit and OpenAI 2025-1"},"content":{"rendered":"
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Description<\/span><\/h2>\n

LLM Engineering in Practice with Streamlit and OpenAI. This course is a practical guide to designing, developing, and deploying AI applications using Streamlit, Python, and OpenAI models. Participants will learn the key concepts of Large Language Models (LLM) and how to apply these technologies to solve real-world problems. During the course, a practical example called **ACE Interview** is explored, which is an intelligent interview app that helps users prepare for job interviews. The example helps to better understand development challenges, including error management and performance optimization. Skills learned include programming with Python and Streamlit to build interactive web applications, engineering prompts to improve the output of AI models, designing system architectures with activity diagrams, and managing project costs. The course also covers the various stages of development, from planning and prototyping to solving real-world challenges such as prompt injection, scalability, and token consumption optimization. At the end, participants will have a complete hands-on project and gain the skills needed to build AI-based applications, paving the way for entry into the in-demand AI development market.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n