By Leading with AI Team
(Source: Andrew Neel, Unsplash)
In this back-to-school edition of the Leading with AI newsletter, we wanted to offer some ideas for those wanting to learn more about artificial intelligence (AI) and related technologies. All of the courses listed below are for a non-technical audience and can be completed in a number of hours as self-paced online courses. (Descriptions are provided by the course providers.)
Total duration: 7 hours
The course is targeted to non-technical people and organisations who want to learn more about AI. Though this course is largely non-technical, engineers can also take the course to learn the business aspects of AI.
If you want your organisation to become better at using AI, this is the course to tell your non-technical colleagues to take. The content of the course includes:
The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science.
What AI realistically can--and cannot--do
How to spot opportunities to apply AI to problems in your own organisation
What it feels like to build machine learning and data science projects
How to work with an AI team and build an AI strategy in your company
How to navigate ethical and societal discussions surrounding AI
Total duration: 6 hours (3 weeks, 2 hours per week)
AI is used in many businesses to improve the way employees work. On this course, trainees will learn more about the past, present and future of AI and explore its potential in the workplace. You will enhance your understanding with interesting facts, trends, and insights about using AI. You will also explore the working relationship between humans and AI and the predicted skills needed to work with AI.
Total duration: 4 hours (4 weeks, 1 hour per week)
The use of AI has been a major development in healthcare. With the availability of vast amounts of health data, and the increasing possibilities of data analytics, understanding AI, and the challenges and opportunities it creates has never been been more important.
On this course you will consider why we might need AI in healthcare, exploring the possible applications and the issues they might cause such as whether AI is dehumanizing healthcare. You should leave the course more confident in your knowledge of AI and how it might improve today’s healthcare systems.
Total duration: 12 hours (4 weeks, 3 hours per week)
This course is aimed at lawyers, legal educators, regulators, and anyone interested in legal and policy issues regarding the development and application of AI. In this course, participants will: explore what AI is, evaluating its rationale and objectives, and how it can be regulated by law. This includes discussing key topics such as compliance, privacy, governance, and the bias to be found in AI-powered systems.
(*Note: a subscription to LinkedIn Learning is required for access to this course)
Total duration: 1 hour 28 minutes
AI is a growing area of interest for the future of work. However, it can feel overwhelming to begin learning about AI given the vastness of the subject. In this course, Jim Sterne, a longtime marketing analyst, shares the basics of what you need to know to get started using artificial intelligence. First, Jim reviews the basics of what AI truly is. He then explores some additional concepts related to AI, such as natural language processing, computer vision, and machine learning. Then, Jim shares applications of machine learning, AI, and how the two work together. He also reviews the relationship between humans and AI, and how you can use AI to your benefit. He closes by reviewing the future state of AI. Upon completion of this course, you will have a solid base of knowledge to begin leveraging AI to your advantage.
Additional resources for online learning
Guided projects - One of the online learning platforms Coursera’s new offerings is called “guided projects”. These are short courses, usually less than 2 hours, that offer opportunities for applied learning for those who already have, or want to develop, experience with machine learning technologies. Examples in the AI space include Build & Deploy AI Messenger Chatbot using IBM Watson, Fake News Detection with Machine Learning, Predicting House Prices with Regression using TensorFlow, Bank Loan Approval Prediction With Artificial Neural Nets,
AI for Good is a year-round digital platform where AI innovators and problem owners learn, build and connect to identify practical AI solutions to advance the UN SDGs. Check out their calendar for frequent free webinars and online meetings.
Upcoming Webinar (in Spanish)
Reconocimiento Facial - Perspectiva legal
7 October 2021 @20.00 CEST
Free registration via EventBrite. Follow link here.
Organised by Berkeley Center on Comparative Equality & Anti-Discrimination Law , Leading with AI, and WebJusticia.
Register on EventBrite here