Open-source AI Models

Open-source AI Models

This course is part of AI Engineering Specialization

Instructor: Per Harald Borgen

3,798 already enrolled

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

34 reviews

Intermediate level

Some related experience required

1 hour to complete

Flexible schedule

Learn at your own pace

1 module

Gain insight into a topic and learn the fundamentals.

34 reviews

Intermediate level

Some related experience required

1 hour to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the AI Engineering Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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

There is 1 module in this course

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.

Participants will gain the skills to implement text-to-speech and image transformations using HuggingFace's libraries. The focus on the HuggingFace.js interface provides direct access to leading open-source AI tools, standing out in its practical approach. A key section is on navigating the HuggingFace.js Hub, where learners discover how to access free models, essential for cost-effective AI deployment. The course culminates with insights into AI’s future in browser-based applications, preparing learners for the next wave of AI integration. What distinguishes this course is its blend of theoretical knowledge and practical application, equipping learners to effectively utilize AI models in their projects. It's ideal for those aiming to pioneer in open-source AI application development.

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

1 assignment Total 30 minutes

Open-source AI Models Graded Quiz 30 minutes

7 plugins Total 30 minutes

Welcome to interactive lessons! 1 minute
Open source vs closed source 5 minutes
Intro To HuggingFace.js Inference 8 minutes
Text To Speech With HuggingFace.js Inference 3 minutes
Transforming Images with HuggingFace.js Inference 5 minutes
AI Models In The Browser With Transformers.js 7 minutes
Recap 1 minute

Earn a career certificate

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

Instructor

Per Harald Borgen

Scrimba

17 Courses 60,925 learners

Offered by

Scrimba

Explore more from Software Development

DeepLearning.AI
Open Source Models with Hugging Face
Project
Duke University
Open Source LLMOps Solutions
Course
Coursera
Understanding Open AI Workspaces
Course
Coursera
Deploying Open Models
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
76.47%
4 stars
20.58%
3 stars
2.94%
2 stars
0%
1 star
0%

Showing 3 of 34

Reviewed on Feb 25, 2026

لو كان بلغة بايثون كان هيكون احلي بس الكورس جميل جدا وبيكفر محتوي علمي مميز

View more reviews

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

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.