Udemy – LLM Engineering in Practice with Streamlit and OpenAI 2025-1

Udemy – LLM Engineering in Practice with Streamlit and OpenAI 2025-1 Downloadly IRSpace

Aug 16, 2025 - 07:28 Updated: Aug 17, 2025 - 20:06

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Udemy – LLM Engineering in Practice with Streamlit and OpenAI 2025-1

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.

What you will learn

Build interactive and user-friendly web applications using Streamlit and Python.
Master prompt engineering to design, refine, and test effective prompts for AI applications.
Complete understanding of the AI-based application development process.
Learn how to use Large Language Models (LLM) for real-world use cases.
Understand how to create activity diagrams to plan and outline your application architecture.
Learn how to tackle real-world challenges, including prompt injection, illusions, and application scalability.

This course is suitable for people who:

Great for beginners in artificial intelligence with a strong foundational knowledge of Python.
Developers, app designers, and enthusiastic stakeholders who want to create impactful solutions using AI.
It is ideal for anyone eager to understand and harness the potential of artificial intelligence.

Course details for LLM Engineering in Practice with Streamlit and OpenAI

Publisher: Udemy
Instructor: 365 Careers
Training level: Beginner to advanced
Training duration: 2 hours and 30 minutes
Number of lessons: 32

Course syllabus as of 2025/4

Prerequisites for the LLM Engineering in Practice with Streamlit and OpenAI course

Intermediate programming knowledge in Python is required to get the most out of this course.
Fundamental understanding of AI will enhance your learning experience.