Building Production-Ready Apps with Large Language Models
About this Course
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.Created by: Coursera Instructor Network

Related Online Courses
This 70 minutes guided project is for beginner learners of HTML. It will include CSS and a small mention of Javascript. You will learn how to style and organize the page content using classes and... more
Increasingly, predictive analytics is shaping companies\' decisions about limited resources. In this project, you will build a regression model to make predictions. We will start this hands-on... more
The Google Certified Professional Cloud Architect specialization is for individuals aspiring to become proficient Google Cloud Platform (GCP) Professional Architects. The specialization helps you... more
This course delves into the critical aspects of securing and optimizing networking environments within the Google Cloud Platform (GCP). Whether you\'re a system administrator, network engineer, or... more
Design modern switched-mode power converters; create high-performance control loops around power converters; understand efficiency, power density and cost trade-offs\\n\\nBy 2030, 80% of all... more