Master Large Language Model fine-tuning for business tasks. Learn implementation strategies and practical applications for AI innovation.
Master Large Language Model fine-tuning for business tasks. Learn implementation strategies and practical applications for AI innovation.
This comprehensive course demystifies LLM fine-tuning and its critical applications in business contexts. Designed for business professionals and entrepreneurs, the program explores how to customize and implement Large Language Models for specific business needs. Through practical examples and case studies, participants learn fundamental concepts, current industry applications, and future possibilities of LLM technology. The course emphasizes hands-on experience with fine-tuning strategies while addressing ethical considerations and implementation challenges.
4,794 already enrolled
Instructors:
English
What you'll learn
Analyze key concepts of Large Language Models and fine-tuning
Identify and analyze LLM fine-tuning for business tasks
Apply LLM fine-tuning to create custom models
Evaluate future trends in Language AI
Develop strategies for business-specific LLM applications
Skills you'll gain
This course includes:
71 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by

Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There is 1 module in this course
This course provides a comprehensive introduction to fine-tuning Large Language Models (LLMs) for business applications. The curriculum covers fundamental concepts of LLMs, their evolution, and practical implementation strategies. Through real-world examples and hands-on exercises, participants learn to evaluate, customize, and implement LLM solutions for specific business needs. The course emphasizes practical applications while addressing ethical considerations and future trends in AI technology.
LLM Fine-tuning And Its Applications For Business
Module 1 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Global Leaders in Professional & Technology Education
For decades, we at Starweaver have partnered with hundreds of the world’s leading organizations and reached millions of learners, delivering unparalleled professional education. Our global team of over 750 practitioners, instructional designers, producers, program managers and creative experts from six continents brings real-world experience and academic rigor to every program, ensuring learners build skills that are hands-on and practical while founded in intellectual and academic rigor. With unmatched expertise and a dynamic ability to inspire, our team is committed to shaping the future of work and equipping learners to thrive in today’s rapidly changing business and technology ecosystem.
Data Scientist and AI & ML Research Scientist, Coursera Instructor Network
Soheil Haddadi and Reza Moradinezhad are data scientists and AI researchers known for making advanced machine learning and large language models accessible for business and practical use. They teach "Fine-tuning Language Models for Business Tasks," focusing on customizing generative AI, LLMs, and trustworthy, human-centered interaction for business innovation. Their courses present practical strategies for fine-tuning AI models, fostering responsible AI adoption and impactful business solutions in diverse industries.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.





