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Per Harald Borgen
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/wcvq8v/open
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What's inside
Syllabus
Open-source AI Models
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches skills, knowledge, and/or tools that are highly relevant in an academic setting
Taught by Per Harald Borgen, who are recognized for their work in open-source AI tools
Strong fit with a particular audience, either based on learners experience level, field, or interests
Provides hands-on training, using libraries like HuggingFace.js
Explores open-source AI models, which is standard in industry today
Offers a mix of media and resources, including videos, readings, discussions and more
Save this course
Save Open-source AI Models to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Open-source AI Models with these
activities:
Revisit fundamental machine learning algorithms
Show steps
Refresh your knowledge of foundational machine learning algorithms before starting the course to understand complex concepts more efficiently.
Show steps
-
Review materials on supervised and unsupervised machine learning algorithms.
-
Work through practice problems to solidify your understanding.
Review HTTP requests and response fundamentals
Show steps
Brush up on HTTP fundamentals before starting the course to seamlessly follow discussions and apply concepts in assignments.
Browse courses on
HTTP
Show steps
-
Revisit the concepts of HTTP requests, including GET and POST.
-
Review the structure of HTTP responses, including status codes and headers.
-
Practice making HTTP requests using a tool like Postman or cURL.
Attend an online workshop on HuggingFace.js
Show steps
Expand your knowledge and connect with experts by participating in an online workshop dedicated to HuggingFace.js.
Show steps
-
Research and identify relevant online workshops.
-
Register and attend the workshop.
-
Actively participate in the workshop, taking notes and asking questions.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Complete a set of coding exercises
Show steps
Solidify your understanding of HuggingFace.js API by attempting a set of coding challenges.
Show steps
-
Review the provided coding challenges that enhance your understanding of HuggingFace.js API.
-
Attempt to solve the coding challenges on your own, referring to course materials when needed.
-
Check your solutions against provided answer keys or discuss with peers to identify areas for improvement.
Explore the Transformers library documentation
Show steps
Gain a deeper understanding of the Transformers library by thoroughly exploring its documentation.
Show steps
-
Access the official Transformers library documentation.
-
Read through the sections on model architecture, usage, and fine-tuning.
-
Experiment with the code examples provided in the documentation to enhance comprehension.
Build a simple web application using HuggingFace.js
Show steps
Apply your knowledge by creating a functional web application that utilizes HuggingFace.js to demonstrate your proficiency.
Show steps
-
Design the application's architecture and user interface.
-
Implement the application using HuggingFace.js to integrate AI models.
-
Test and refine the application to ensure optimal performance.
Participate in a community project using HuggingFace.js
Show steps
Gain practical experience by applying your knowledge of HuggingFace.js to real-world projects, making a difference in your community.
Show steps
-
Identify a non-profit organization or community group that could benefit from AI solutions.
-
Reach out to the organization and propose a project idea that utilizes HuggingFace.js.
-
Collaborate with the organization to implement the AI solution and measure its impact.
Contribute to the HuggingFace community forums
Show steps
Engage with the HuggingFace community by actively participating in the forums to reinforce your understanding of concepts.
Show steps
-
Join the HuggingFace community forums.
-
Read through existing discussions to familiarize yourself with common questions and solutions.
-
Post questions or share your experiences to contribute to the knowledge base.
Contribute to the HuggingFace Transformers library
Show steps
Enhance your understanding of the Transformers library by actively contributing to its open-source repository.
Show steps
-
Review the HuggingFace Transformers repository and identify areas for potential contributions.
-
Make changes to the codebase, ensuring adherence to coding standards and best practices.
-
Submit a pull request with a detailed description of your contribution.
Revisit fundamental machine learning algorithms
Show steps
Refresh your knowledge of foundational machine learning algorithms before starting the course to understand complex concepts more efficiently.
Show steps
Show steps
Show steps
- Review materials on supervised and unsupervised machine learning algorithms.
- Work through practice problems to solidify your understanding.
Review HTTP requests and response fundamentals
Show steps
Brush up on HTTP fundamentals before starting the course to seamlessly follow discussions and apply concepts in assignments.
Browse courses on
HTTP
Show steps
Show steps
Show steps
- Revisit the concepts of HTTP requests, including GET and POST.
- Review the structure of HTTP responses, including status codes and headers.
- Practice making HTTP requests using a tool like Postman or cURL.
Attend an online workshop on HuggingFace.js
Show steps
Expand your knowledge and connect with experts by participating in an online workshop dedicated to HuggingFace.js.
Show steps
Show steps
Show steps
- Research and identify relevant online workshops.
- Register and attend the workshop.
- Actively participate in the workshop, taking notes and asking questions.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Complete a set of coding exercises
Show steps
Solidify your understanding of HuggingFace.js API by attempting a set of coding challenges.
Show steps
Show steps
Show steps
- Review the provided coding challenges that enhance your understanding of HuggingFace.js API.
- Attempt to solve the coding challenges on your own, referring to course materials when needed.
- Check your solutions against provided answer keys or discuss with peers to identify areas for improvement.
Explore the Transformers library documentation
Show steps
Gain a deeper understanding of the Transformers library by thoroughly exploring its documentation.
Show steps
Show steps
Show steps
- Access the official Transformers library documentation.
- Read through the sections on model architecture, usage, and fine-tuning.
- Experiment with the code examples provided in the documentation to enhance comprehension.
Build a simple web application using HuggingFace.js
Show steps
Apply your knowledge by creating a functional web application that utilizes HuggingFace.js to demonstrate your proficiency.
Show steps
Show steps
Show steps
- Design the application's architecture and user interface.
- Implement the application using HuggingFace.js to integrate AI models.
- Test and refine the application to ensure optimal performance.
Participate in a community project using HuggingFace.js
Show steps
Gain practical experience by applying your knowledge of HuggingFace.js to real-world projects, making a difference in your community.
Show steps
Show steps
Show steps
- Identify a non-profit organization or community group that could benefit from AI solutions.
- Reach out to the organization and propose a project idea that utilizes HuggingFace.js.
- Collaborate with the organization to implement the AI solution and measure its impact.
Contribute to the HuggingFace community forums
Show steps
Engage with the HuggingFace community by actively participating in the forums to reinforce your understanding of concepts.
Show steps
Show steps
Show steps
- Join the HuggingFace community forums.
- Read through existing discussions to familiarize yourself with common questions and solutions.
- Post questions or share your experiences to contribute to the knowledge base.
Contribute to the HuggingFace Transformers library
Show steps
Enhance your understanding of the Transformers library by actively contributing to its open-source repository.
Show steps
Show steps
Show steps
- Review the HuggingFace Transformers repository and identify areas for potential contributions.
- Make changes to the codebase, ensuring adherence to coding standards and best practices.
- Submit a pull request with a detailed description of your contribution.
Career center
Learners who complete Open-source AI Models will develop knowledge and skills
that may be useful to these careers:
AI Software Engineer
AI Software Engineer
As an AI Software Engineer, you will develop and implement AI solutions for a variety of applications. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as an AI Software Engineer.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will design, develop, and deploy machine learning models. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Machine Learning Engineer.
Business Analyst
Business Analyst
As a Business Analyst, you will analyze business needs and develop AI solutions to meet those needs. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Business Analyst.
Data Analyst
Data Analyst
As a Data Analyst, you will analyze data and develop AI solutions to improve business outcomes. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Data Analyst.
Computer Vision Engineer
Computer Vision Engineer
As a Computer Vision Engineer, you will develop and implement AI solutions that can see and interpret images. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Computer Vision Engineer.
Natural Language Processing Engineer
Natural Language Processing Engineer
As a Natural Language Processing Engineer, you will develop and implement AI solutions that can understand and process human language. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Natural Language Processing Engineer.
Data Scientist
Data Scientist
As a Data Scientist, you will analyze data and build machine learning models. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Data Scientist.
Product Manager
Product Manager
As a Product Manager, you will develop and manage AI products. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Product Manager.
Quantitative Analyst
Quantitative Analyst
As a Quantitative Analyst, you will use AI to develop models for financial trading and risk management. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Quantitative Analyst.
Technical Writer
Technical Writer
As a Technical Writer, you will write documentation and training materials for AI products and services. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to understand the technical concepts behind AI and communicate them clearly to others. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Technical Writer.
Software Developer
Software Developer
As a Software Developer, you will develop and implement AI solutions. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Software Developer.
Research Scientist
Research Scientist
As a Research Scientist, you will conduct research in the field of artificial intelligence. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Research Scientist.
Database Administrator
Database Administrator
As a Database Administrator, you will manage and maintain databases. The Open-source AI Models course may be useful for this role, as it will give you a foundation in open-source AI. This will help you understand the data structures and algorithms used in AI and how to optimize them for database performance.
Network Administrator
Network Administrator
As a Network Administrator, you will manage and maintain computer networks. The Open-source AI Models course may be useful for this role, as it will give you a foundation in open-source AI. This will help you understand the network protocols and technologies used in AI and how to optimize them for network performance.
Information Security Analyst
Information Security Analyst
As an Information Security Analyst, you will protect computer systems and networks from cyber threats. The Open-source AI Models course may be useful for this role, as it will give you a foundation in open-source AI. This will help you understand the security risks associated with AI and develop strategies to mitigate those risks.
For more career information including salaries, visit:
OpenCourser.com/course/wcvq8v/open
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Open-source AI Models.
A comprehensive introduction to deep learning for NLP, covering the fundamentals of neural networks, transformers, and language models.
A comprehensive introduction to reinforcement learning, covering the fundamental concepts and algorithms.
A comprehensive introduction to deep learning with Python, covering the fundamentals of neural networks, convolutional neural networks, and recurrent neural networks.
A comprehensive guide to machine learning for text data, covering topics such as text classification, text clustering, and text summarization.
A practical guide to deep learning for coders, using the fastai library.
A practical guide to machine learning with Python, covering a wide range of topics such as supervised learning, unsupervised learning, and reinforcement learning.
A comprehensive introduction to NLP, covering the fundamental concepts and algorithms in a clear and accessible way.
A practical guide to machine learning with Python, covering supervised and unsupervised learning, feature engineering, and model evaluation.
A concise and accessible introduction to machine learning, covering the fundamental concepts and algorithms.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wcvq8v/open
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Via
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Institution
Scrimba
Instructor
Per Harald Borgen
Language
English
This course belongs to a
collection
called
AI Engineering. It's comprised of six courses:
- Learn Embeddings and Vector Databases
- Open-source AI Models (viewing)
- Intro to AI Engineering
- Learn OpenAI's Assistant API
- Build AI Apps with LangChain.js
- Learn AI Agents
Good to know
Teaches skills, knowledge, and/or tools that are highly relevant in an academic setting
Taught by Per Harald Borgen, who are recognized for their work in open-source AI tools
Strong fit with a particular audience, either based on learners experience level, field, or interests
Provides hands-on training, using libraries like HuggingFace.js
Explores open-source AI models, which is standard in industry today
Offers a mix of media and resources, including videos, readings, discussions and more
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