Artificial Intelligence (AI) is an exciting and rapidly growing field with endless possibilities. From machine learning and deep neural networks to natural language processing and robotics, the applications of AI are vast and diverse. Whether you are a beginner just starting or a seasoned professional looking to upskill, there are many ways to enhance your AI knowledge and expertise. One of the best ways to do so is by taking advantage of the numerous free online courses available. In this article, we'll highlight some of the top free courses to help you illuminate your path to AI mastery. So buckle up and get ready to accelerate your learning!
The Economics of AI
Calendar: Flexible deadline
Location: 100% online
Level: Advanced
Length: Around 28 hours
Language: English
Instructor: Anton Korinek
Offered by: University of Virginia
The free online course in AI economics provides an in-depth study of the latest research on the economics of AI and its implications for economic growth and labor markets. The course has 6 modules on an analysis of intelligence and information theory, how AI affects these processes and how it drives aggregate economic growth, including the possibility of a growth singularity, the potential impact of AI on labor markets and workers and economic policies for dealing with advanced AI, the potential for transformative progress in AI to cause significant disruptions and the challenge of controlling highly intelligent AI algorithms.
Data-driven Astronomy
Calendar: Flexible deadline
Location: 100% online
Level: Advanced
Length: Around 24 hours
Language: English (with subtitles in Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish)
Instructor: Tara Murphy
Offered by: University of Sydney
Astronomy is at the forefront of the data explosion in science, with modern telescopes producing massive amounts of data per observation and simulations requiring the most advanced supercomputers. To effectively analyze this data, scientists need to have strong computational thinking skills. This free online course on Data-driven Astronomy focuses on the practical skills needed to work with large datasets, including implementing algorithms, using databases, and machine learning tools. All activities in the course will be done in Python 3, a modern programming language commonly used in astronomy. Whether you're already a scientist, studying to become one, or simply interested in the workings of modern astronomy, this course provides a deep dive into the field, covering everything from planets to pulsars to black holes.
Artificial Intelligence: Ethics & Societal Challenges
Calendar: Flexible deadline
Location: 100% online
Level: Beginner
Length: Around 13 hours
Language: English
Instructor: Maria Hedlund
Offered by: Lund University
The free online course, Artificial Intelligence: Ethics & Societal Challenges, is a four-week program that delves into the ethical and societal implications of the growing use of artificial intelligence technologies (AI). The goal of the course is to raise awareness of the ethical and societal considerations surrounding AI and encourage reflection and discussion about the effects of its use in society. The course comprises four modules, with each module representing approximately one week of part-time study. Each module includes lectures and readings, followed by a mandatory assignment in which you summarize the most important new knowledge or insights gained from the lesson and review the work of another participant. These assessments are designed to promote learning and encourage reflection on ethical and societal issues related to the use of AI. While participating in forum discussions is optional, it is highly recommended.
Machine Translation
Calendar: Flexible deadline
Location: 100% online
Level: Immediate
Length: About 27 hours
Language: English (with Subtitles in French, Portuguese (European), German, Russian, English, Spanish)
Instructor: Alexander Waibel
Offered by: Karisruhe Institute of Technology
This free online course on machine translation covers the fundamental concepts and principles of translating natural languages using algorithms. Machine translation aims to enable communication between people who speak different languages and is widely used in applications such as Google Translate and mobile apps. The course provides an understanding of the challenges involved in natural language translation and the principles of various machine translation approaches. The course focuses on the latest neural machine translation technology, which utilizes deep learning techniques to model the translation process. By the end of the course, you will be able to identify which concepts are best suited to your machine translation application.
Introduction to Machine Learning on AWS
Calendar: Flexible deadline
Location: 100% online
Level: Beginner
Length: About 27 hours
Language: English
Instructor: Russel Sayers
Offered by: AWS
This course will begin by introducing various Amazon services that take care of the training model and raw inference. These services are designed to simplify complex tasks such as computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training, and virtual agents. Through the course, you will be encouraged to evaluate your current solutions and explore how AI, ML, or Deep Learning can be leveraged to enhance user experience and address business needs. These solutions can be integrated with your current applications to improve their functionality and performance.
AI, Business & the Future of Work
Calendar: Flexible deadline
Location: 100% online
Level: Beginner
Length: About 12 hours
Language: English
Instructor: Anamaria Dutceac Segesten
Offered by: Lund University
AI, Business & the Future of Work offered by Lund University aims to equip individuals with the knowledge and skills to effectively incorporate artificial intelligence into their organizations. As AI continues to play an increasingly significant role in people's lives, there are numerous opportunities for organizations to improve their efficiency and innovation. However, this also comes with potential risks. This course will provide participants with guidance on how to develop an AI plan for their business, regardless of their sector or organization size. Many organizations currently lack a strategy for how to implement AI effectively, and this course will help bridge that gap.
Computer Vision with Embedded Machine Learning
Calendar: Flexible deadline
Location: 100% online
Level: Intermediate
Length: About 31 hours
Language: English
Instructor: Shawn Hymel
Offered by: Edge Impulse
The course is about computer vision, a field that aims to enable computers to interpret and understand digital images and videos. Through the use of various machine learning algorithms, this course explains how to accomplish computer vision tasks, with a focus on convolutional neural networks (CNNs) and their ability to classify images and detect objects. By providing hands-on projects, the course offers an opportunity to learn how to train your own CNNs and deploy them to embedded systems such as microcontrollers and single board computers. The course covers the essential concepts and terminology required to comprehend how CNNs operate.
Artificial Intelligence (AI) Education for Teachers
Calendar: Flexible deadline
Location: 100% online
Level: Beginner
Length: About 16 hours
Language: English
Instructor: Dr Anne Forbes and Dr Markus Powling
Offered by: Macquarie and IBM Skills Network
AI can be incorporated into all aspects of the school curriculum, and this course will teach you how to do so. This course will benefit teachers who want to enhance their knowledge of AI, including its significance for learners, as well as those who want to integrate AI into their teaching techniques and their students' learning. Moreover, this course provides an exceptional opportunity to implement a Capstone Project for students while simultaneously undertaking this professional learning course.
New Technologies for Business Leaders
Calendar: Flexible deadline
Location: 100% online
Level: Immediate
Length: About 19 hours
Language: English (with subtitles in Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish)
Instructor: Mark Mueller-Eberstein
Offered by: Rutgers the State University of New Jersey
This course is specifically designed for business professionals, particularly those in managerial roles or aspiring to such positions. Its goal is to provide a comprehensive overview of new Information Technologies and how they can be utilized in various business functions, such as marketing, supply chain management, and finance. It is not intended for individuals seeking in-depth technical knowledge or guidance on implementation. The course focuses on discussing the challenges faced by business management and marketing functions in light of the emergence of technologies such as blockchain, cryptocurrencies, IoT, VR/AR, AI, and big data, using case studies to illustrate proven frameworks, tools, and strategies in the real world. The course does not provide a deep technical curriculum, but is instead based on years of experience helping executives, including C-level executives, understand the potential of these technologies in their respective areas of expertise.
Trustworthy AI for Healthcare Management
Calendar: Flexible deadline
Location: 100% online
Level: Beginner
Length: About 3 hours
Language: English
Instructor: Marco Brambilla
Offered by: Politecnico di Milano
This AI course is designed for healthcare professionals, patients, and AI practitioners, and no prior knowledge of AI is required. The course covers a range of topics such as understanding how AI systems operate and learn, the types of tasks that can be accomplished by AI, the challenges faced by AI in healthcare, the basics of Trustworthy AI, how to evaluate Trustworthy AI, and examples of Trustworthy AI assessments in practice.
