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Open-source AI Models

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.

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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.

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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

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

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Activities

Coming soon We're preparing activities for Open-source AI Models. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Open-source AI Models will develop knowledge and skills that may be useful to these careers:
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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 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 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 concise and accessible introduction to machine learning, covering the fundamental concepts and algorithms.

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