RiseUpp Logo
Educator Logo

LLM Fine-tuning for Business Applications

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

English

Powered by

Provider Logo
LLM Fine-tuning for Business Applications

This course includes

3 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

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

LLM fine-tuning
business analysis
AI implementation
language models
machine learning
business strategy
AI customization
model training
AI ethics

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.

Certificate

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.

icon-0icon-1icon-2icon-3icon-4

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

Reza Moradinezhad
Reza Moradinezhad

6,031 Students

15 Courses

AI Educator | Human-Centered Interaction Researcher | Promoting Trustworthy AI

Reza Moradinezhad is an AI educator and researcher specializing in human-centered interaction and trustworthy AI. He offers a range of courses on Coursera

Soheil Haddadi
Soheil Haddadi

5,038 Students

16 Courses

Data Scientist | AI & ML Research Scientist | Interested in LLMs and GenAI

I am a Postdoctoral Researcher specializing in Artificial Intelligence, with a distinguished academic background in Control and Automation Systems Engineering. My expertise spans Data Science, Machine Learning, LLMs, Deep Learning.

LLM Fine-tuning for Business Applications

This course includes

3 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,435

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.