Building Production-Ready Apps with Large Language Models from Coursera

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.

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Syllabus

BUILDING PRODUCTION READY APPS WITH LLMs

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.

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Develops conversational AI using HuggingFace, Python, and Gradio, which are core skills for building natural language applications

Suitable for developers, data scientists, AI enthusiasts, and individuals interested in LLMs, making it accessible to a wide range of learners

Covers important ethical considerations like mitigating bias, ensuring transparency, and maintaining user trust, equipping learners with responsible AI practices

Offers a course designed for individuals with a basic understanding of programming and application development concepts, making it accessible to beginners

Provides a practical approach to building production-ready LLM applications, emphasizing real-world deployment considerations

Taught by Reza Moradinezhad, who has expertise in AI and chatbot development

Career center

Learners who complete Building Production-Ready Apps with Large Language Models will develop knowledge and skills that may be useful to these careers:

LLM Engineer

As an LLM Engineer, you will design, develop, and deploy production-ready applications powered by Large Language Models. This course can help you build the skills you need to succeed in this role by teaching you how to use HuggingFace, Python, and Gradio to develop a FAQ chatbot. You will also learn about prompt engineering, infrastructure, monitoring, and security considerations for real-world deployment, which are all essential skills for an LLM Engineer.

See salaries and explore the career path for LLM Engineer

Data Scientist

As a Data Scientist, you will use your skills in programming, mathematics, and statistics to extract insights from data. This course can help you build the skills you need to succeed in this role by teaching you how to apply prompt engineering to extract the most value from LLMs. You will also learn about infrastructure, monitoring, and security considerations for real-world deployment, which are all important considerations for Data Scientists who work with LLMs.

See salaries and explore the career path for Data Scientist

Software Engineer

As a Software Engineer, you will design, develop, and maintain software applications. This course can help you build the skills you need to succeed in this role by teaching you how to use Python and Gradio to develop a FAQ chatbot. You will also learn about infrastructure, monitoring, and security considerations for real-world deployment, which are all essential skills for Software Engineers who work with LLMs.

See salaries and explore the career path for Software Engineer

Product Manager

As a Product Manager, you will be responsible for the development and launch of new products. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for Product Managers who work with LLMs.

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Machine Learning Engineer

As a Machine Learning Engineer, you will use your skills in machine learning and artificial intelligence to develop and deploy machine learning models. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for Machine Learning Engineers who work with LLMs.

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UX Designer

As a UX Designer, you will design the user experience for software applications. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to develop and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for UX Designers who work with LLMs.

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Software Architect

As a Software Architect, you will design and develop the architecture of software applications. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for Software Architects who work with LLMs.

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Product Designer

As a Product Designer, you will design the user experience and user interface for software applications. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for Product Designers who work with LLMs.

See salaries and explore the career path for Product Designer

AI Engineer

As an AI Engineer, you will use your skills in machine learning and artificial intelligence to develop and deploy AI systems. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for AI Engineers who work with LLMs.

See salaries and explore the career path for AI Engineer

CTO

As a CTO, you will be responsible for the technical strategy and vision of an organization. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for CTOs who work with LLMs.

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CIO

As a CIO, you will be responsible for the overall IT strategy and vision of an organization. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for CIOs who work with LLMs.

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IT Manager

As an IT Manager, you will be responsible for the planning, implementation, and maintenance of an organization's IT systems. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for IT Managers who work with LLMs.

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AI Researcher

As an AI Researcher, you will conduct research in the field of artificial intelligence. This course can help you build the skills you need to succeed in this role by teaching you how to use LLMs to build and deploy production-ready applications. You will also learn about the ethical considerations of developing and deploying AI systems, which is an important consideration for AI Researchers who work with LLMs.

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Data Analyst

As a Data Analyst, you will use your skills in data analysis and visualization to extract insights from data. This course may be useful for you if you want to learn how to use LLMs to build and deploy production-ready applications.

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Statistician

As a Statistician, you will use your skills in statistics to collect, analyze, and interpret data. This course may be useful for you if you want to learn how to use LLMs to build and deploy production-ready applications.

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Building Production-Ready Apps with Large Language Models

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