Upon completing this course, learners will understand the distinctions between open-source and closed-source frameworks and their impact on development. The course offers hands-on experience with HuggingFace.js, enabling learners to perform inference tasks and apply AI solutions in real scenarios.



Open-source AI Models
This course is part of AI Engineering Specialization

Instructor: Per Harald Borgen
Access provided by Coursera Learning Team
2,525 already enrolled
(23 reviews)
What you'll learn
Grasp Open-source vs Closed-source Paradigms
Understand HuggingFace.js for Practical AI Implementation
Navigate and Utilize AI Resources
Skills you'll gain
Details to know

Add to your LinkedIn profile
1 assignment
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate


Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

There is 1 module in this course
This module teaches the importance and utility of open-source AI models. It offers hands-on experience in AI tasks like text-to-speech, text-generation and image processing. It also gives you an introduction to HuggingFace, and how you can use the platform to easily use open AI models.
What's included
1 assignment7 plugins
Instructor

Offered by
Why people choose Coursera for their career




Explore more from Computer Science

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy