Building Production-Ready Apps with Large Language Models
Learn to build and deploy production-ready chatbots using LLMs, Python, and HuggingFace with focus on ethical AI implementation.
Learn to build and deploy production-ready chatbots using LLMs, Python, and HuggingFace with focus on ethical AI implementation.
This hands-on course teaches developers how to build production-ready applications using Large Language Models (LLMs). Through practical demonstrations, students learn to develop FAQ chatbots using HuggingFace, Python, and Gradio. The course covers essential topics from prompt engineering to infrastructure setup, monitoring, and security considerations for real-world deployment. Special emphasis is placed on ethical AI development, including bias mitigation, transparency, and maintaining user trust.
3.7
(12 ratings)
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What you'll learn
Build production-ready chatbots using LLMs
Master prompt engineering techniques
Develop UIs with Gradio and HuggingFace
Implement secure deployment strategies
Apply ethical AI development practices
Mitigate bias in AI applications
Skills you'll gain
This course includes:
1.3 Hours PreRecorded video
1 assignment
Access on Mobile, Desktop, Tablet
FullTime access
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There is 1 module in this course
This practical course focuses on building production-ready applications using Large Language Models. Students learn the complete development lifecycle, from initial setup to deployment, with emphasis on both technical implementation and ethical considerations. The curriculum covers prompt engineering, infrastructure setup, UI development with Gradio, and responsible AI practices, providing hands-on experience with real-world applications.
Building Production Ready Apps with LLMs
Module 1 · 2 Hours to complete
Fee Structure
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Instructor
AI Educator and Human-Centered Interaction Researcher
Reza Moradinezhad is an AI educator and researcher dedicated to promoting trustworthy AI and enhancing human-centered interactions. He holds a PhD in Computer Science from Drexel University and currently serves as an assistant teaching professor at Drexel's College of Computing & Informatics. In addition, he is an AI Scientist at TulipAI, where he focuses on ethical and responsible use of generative AI technologies.Reza offers a variety of courses on Coursera, including Building Production-Ready Apps with Large Language Models, Evaluating Large Language Model Outputs: A Practical Guide, and GenAI for Application Developers. His courses aim to equip learners with the skills necessary to effectively utilize large language models in various applications, from customer service to data analysis.
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3.7 course rating
12 ratings
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