LLM Engineering in Practice with Streamlit and OpenAI

About this course

Are you ready to dive into the fascinating world of AI-powered applications?

Do you want to solve real-world problems using cutting-edge large language models (LLMs)?

This is the perfect course for you!

This course is your step-by-step guide to designing, developing, and deploying an AI application using Streamlit, Python, and OpenAI models. You’ll not only learn the theory and development process but also gain hands-on experience with a practical, real-world example: ACE Interview, a powerful AI-driven interview application that has already helped thousands of people prepare for their interviews. By exploring the structure of ACE Interview, you’ll see how the concepts taught in this course are applied in practice. Moreover, we’ll share the challenges and mistakes we encountered during its development—and how we overcame them—so you can avoid similar pitfalls in your own projects.

By completing this course, you’ll acquire a versatile and highly practical skill set including:

• Python Programing with Streamlit – Learn to build interactive, user-friendly web apps using one of the most popular frameworks.
• Prompt Engineering – Master the art of designing, refining, and testing prompts to maximize the performance of your AI projects.

System Architecture Design – Learn to create activity diagrams to visually map out your application’s structure, making it easier to plan and communicate your ideas effectively.

Utilizing LLMs: Understand how to leverage large language models for different use cases, including the differences between hosting models and using APIs, as well as open-source versus closed-source options.

Cost Management: Analyze and predict the cost associated with your AI projects to make informed decisions.

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