Learning and Development Specialist: Duties, Skills, and Career Growth
November 22, 2024
Article
Instructor: Marco Brambilla
3,502 already enrolled
Included with
(57 reviews)
Recommended experience
Beginner level
Interest in healthcare, data science, or Trustworthy AI
(57 reviews)
Recommended experience
Beginner level
Interest in healthcare, data science, or Trustworthy AI
Add to your LinkedIn profile
8 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge.
The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI. Participants will learn: - How AI systems work and learn - What tasks can be solved by AI - Common challenges for AI in healthcare - Fundamentals of Trustworthy AI - How to assess Trustworthy AI - How Trustworthy AI assessments look in practice This course was developed by Goethe University Frankfurt as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks. PERISCOPE website: https://www.periscopeproject.eu/
Artificial Intelligence has the potential to drastically alter the healthcare sector. To maximize benefits and mitigate unintended negative consequences, the European Commission's High-Level expert group on Artificial Intelligence proposed a framework for Trustworthy Artificial Intelligence. This modules provides an overview on artificial intelligence in the healthcare sector, Trustworthy AI, and what topics the following modules will touch in more detail.
1 video
The later modules in the course will expect some basic knowledge on artificial intelligence, which will be introduced in this module. The introduction will focus on very high level concepts and will be free of formulae. First, we will bring some clarification on the term "artificial intelligence" (or AI for short) and give a historical overview on how AI was applied in healthcare and how this application changed over time. We also go over possible applications of AI in healthcare, and show common challenges AI systems face. Finally, we will go over some of the ways AI systems can be made understandable to humans users.
4 videos4 assignments
This module is an introduction to Trustworthy Artificial Intelligence. First, we will introduce the Ethics Guidelines for Trustworthy AI, especially the core ethical principles for trustworthy AI systems, and key requirements to implement them. Then, we will have a look at Z-Inspection®, a process to assess trustworthy AI in practice.
3 videos3 assignments
In this module, we will look at three different case-studies, to see examples of the application of AI in healthcare and how trustworthy AI assessments can look in practice.
3 videos
In this module we recap the course content and give practical recommendations for the assessment and implementation of AI systems in healthcare.
1 video1 assignment
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers. From 2014 Politecnico di Milano started the release of several MOOCs, developed by the service for digital learning METID (Methods and Innovative Technologies for Learning), giving everybody the chance to enhance personal skills.
Johns Hopkins University
Course
Stanford University
Specialization
Northeastern University
Course
Stanford University
Course
57 reviews
77.19%
19.29%
1.75%
0%
1.75%
Showing 3 of 57
Reviewed on Mar 22, 2023
This course was very well structured and provided a very articulate presentation of the content.
Reviewed on Nov 15, 2023
It is a highly informative course and definitely gives extra information upon the topic
Reviewed on Sep 6, 2023
such a wonderful course!thanks a lot to the instructor and to the coursera for providing such a learning platform
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
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.
Financial aid available,
Learn on your own time from top universities and businesses.
Already on Coursera?
Having trouble logging in? Learner help center
This site is protected by reCAPTCHA Enterprise and the Google Privacy Policy and Terms of Service apply.