What Is a Management Information System (MIS)? Your Career Guide
January 14, 2025
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Instructors: Reza Moradinezhad
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(18 reviews)
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Intermediate level
Basic programming, software familiarity, internet-connected computer.
(18 reviews)
Recommended experience
Intermediate level
Basic programming, software familiarity, internet-connected computer.
Explore AI capabilities with interactive tasks.
Build a chatbot using Python and HuggingFace.
Deploy a reliable AI app.
Evaluate AI ethics through practical scenarios.
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In the age of artificial intelligence (AI), it is essential to learn how to apply the power of large language models (LLMs) for building various production-ready applications. In this hands-on-course, learners will gain the necessary skills for building and responsibly deploying a conversational AI application.
Following the demo provided in this course, learners will learn how to develop a FAQ chatbot using HuggingFace, Python, and Gradio. Core concepts from applying prompt engineering to extract the most value from LLMs to infrastructure, monitoring, and security considerations for real-world deployment will be covered. Important ethical considerations such as mitigating bias, ensuring transparency, and maintaining user trust will also be covered to help learners understand the best practices in developing a responsible and ethical AI system. By the end, learners will have developed familiarity with both the technical and human aspects of building impactful LLM applications. The learners can design, develop, and deploy production-ready applications powered by Large Language Models. This course is designed for individuals with a basic understanding of programming and application development concepts. It is suitable for developers, data scientists, AI enthusiasts, and anyone interested in using LLMs to build practical applications. you need basic concepts, software tools, and an internet-connected computer.
In this course, learners will learn how to develop a FAQ chatbot using HuggingFace, Python, and Gradio. Core concepts from applying prompt engineering to extract the most value from LLMs, to infrastructure, monitoring and security considerations for real-world deployment will be covered.
12 videos5 readings1 assignment1 ungraded lab
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Jan 12, 2025
Great Instructor, engaging and interesting. Easy to understand and explains things very clearly with good examples.
Reviewed on Apr 30, 2024
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