Course list

Cybersecurity is a critical concern in healthcare, and understanding the threats, actors, and trends shaping the field is essential. In this course, you will examine the evolving cybersecurity landscape in healthcare and learn how cyber threats intersect with patient data systems, connected technologies, and organizational operations. You'll explore how governance structures, regulatory obligations, and third-party relationships influence cybersecurity strategy while evaluating the privacy, legal, and operational risks associated with digital health technologies.

Through practical exercises and applied examples, you will learn how to identify cyber threats, analyze the risks and benefits of patient data and information management systems, and assess organizational responsibilities for protecting sensitive information. You'll also consider the growing role of artificial intelligence in healthcare and its implications for cybersecurity risk, innovation, and oversight.

By the end of this course, you will be prepared to anticipate potential threats, evaluate systemic cybersecurity risks, and apply strategies that help protect patient data, healthcare systems, and organizational operations.

  • Sep 2, 2026
  • Nov 25, 2026
  • Feb 17, 2027
  • May 12, 2027

Protecting healthcare organizations from cybercrime is essential in today's digital environment. In this course, you will explore how common cyberattacks — including ransomware, fraud, and AI-enabled threats — target healthcare systems and learn practical approaches for strengthening cyber hygiene and defensive strategies. You'll examine how layered security practices and proactive planning can reduce vulnerabilities and help organizations respond more effectively when incidents occur.

Through applied exercises and real-world examples, you will develop strategies for preventing and responding to ransomware attacks, mitigating fraud risks, and strengthening cybersecurity defenses across healthcare environments. You'll also discover how to anticipate emerging threats and implement best practices that support stronger protection of patient data and critical systems.

By the end of this course, you will be prepared to recognize cybercrime threats, respond effectively to incidents, and apply practical cybersecurity practices that enhance resilience across healthcare organizations.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Managing Cybersecurity and AI Risks in Healthcare
  • Sep 16, 2026
  • Dec 9, 2026
  • Mar 3, 2027
  • May 26, 2027

Real-world healthcare cyberattacks offer critical lessons for protecting organizations and patient data. In this course, you will examine case studies of major cyber incidents to understand how healthcare organizations respond to attacks and what factors influence successful outcomes. You'll analyze how vulnerabilities emerge across healthcare systems and explore strategies organizations use to mitigate risk, strengthen governance, and improve incident response.

Through this case-based approach, you will evaluate ransomware incidents, breaches of sensitive health data, and risks associated with third-party vendors, supply chains, and operational technologies. You'll also examine how accountability, risk management practices, and organizational decision making shape responses to cyber incidents.

By the end of this course, you will be prepared to assess cyber incidents, make informed decisions during breaches, and apply strategies that strengthen cybersecurity resilience while protecting patients and healthcare operations.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Managing Cybersecurity and AI Risks in Healthcare
  • Defending Against Cybercrime in Healthcare
  • Sep 30, 2026
  • Dec 23, 2026
  • Mar 17, 2027
  • Jun 9, 2027

AI is transforming healthcare, offering powerful benefits and posing significant risks across diagnosis, treatment, research, and public health. In this course, you will explore how healthcare organizations can leverage AI to improve patient outcomes and operational efficiency while managing potential risks such as bias, data misuse, and unintended consequences. You'll examine ethical, safety, and privacy considerations and learn strategies and guardrails for responsible AI implementation.

Through practical examples and applied exercises, you will evaluate how AI impacts decision making, regulatory compliance, and organizational practices. You'll explore methods to integrate patient safety, data protection, and ethical principles into AI initiatives, ensuring innovation aligns with responsible healthcare governance.

By the end of the course, you will be prepared to integrate patient safety, regulatory compliance, and ethical principles into decision making, leveraging AI's benefits while safeguarding patients, data, and organizational integrity.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Managing Cybersecurity and AI Risks in Healthcare
  • Defending Against Cybercrime in Healthcare
  • Analyzing Data Breaches and AI-Driven Cyber Incidents
  • Oct 14, 2026
  • Jan 6, 2027
  • Mar 31, 2027
  • Jun 23, 2027

Symposium sessions feature two days of live, highly interactive virtual Zoom sessions that will explore today's most pressing topics. The AI Symposium offers you a unique opportunity to engage in real-time conversations with peers and experts from the Cornell community and beyond. Using the context of your own experiences, you will take part in reflections and small-group discussions to build on the skills and knowledge you have gained from your courses.

Join us for the next Symposium, in which we'll share experiences from across the industry, inspiring real-time conversations about best practices, innovation, and the future of AI. You will support your coursework by applying your knowledge and experiences to some of the most pressing topics and trends in the field. By participating in relevant and engaging discussions, you will discover a variety of perspectives and build connections with your fellow participants from across a variety of industries.

All sessions are held on Zoom.

Future dates are subject to change. You may participate in as many sessions as you wish. Attending Symposium sessions is not required to successfully complete any certificate program. Once enrolled in your courses, you will receive information about upcoming events. Accessibility accommodations will be available upon request.

eCornell Online Workshops are live, interactive 3-hour learning experiences led by Cornell faculty experts. These premium short-format sessions focus on AI topics and are designed for busy professionals who want to gain immediately applicable skills and strategic perspectives. Workshops include faculty presentations, breakout discussions, and guided hands-on practice.

The AI Workshops All-Access Pass provides you with unlimited participation for 6 months from your date of purchase. Whether you choose to attend one workshop per month, or several per week, the All-Access Pass will allow you to customize your AI journey and stay on top of the latest AI trends.

Workshops cover a range of cutting-edge AI topics applicable across industries, hosted by Cornell faculty at the forefront of their fields. Whether you are just getting started with AI, seeking to build your AI skillset, or exploring advanced applications of AI, Workshops will provide you with an action-oriented learning experience for immediate application in your career. Sample Workshops include:

  • Boosting Effectiveness: Using AI Agents Across Your Team
  • Building Enterprise-Ready AI Agents: From Prototypes to Production
  • Augmenting Your Sales AI Playbook: Hands-On with Frontier LLMs
  • Intro to Leveraging AI for Work
  • AI-Enhanced Performance Reviews
  • Search & Discoverability in the Era of AI
  • AI for Contracts, Drafting, and Transactions
  • AI for Product Managers: How to Leverage AI to Build Better Products, Faster

How It Works

  • Executive and senior leadership at healthcare or healthcare-adjacent organizations; e.g., C-suite leaders such as CEO, COO, CIO, CTO, CISO, Chief Data Officer, Chief Risk Officer, Chief Privacy Officer, and Chief Compliance Officer
  • Board members and directors responsible for organizational oversight, governance, and risk management within healthcare organizations
  • Legal and regulatory professionals, including general counsel, assistant general counsel, and advisors focused on cybersecurity, data privacy, and compliance
  • Technology and security leaders, such as directors and VPs of cybersecurity, information security, IT, and crisis or incident response
  • Data and technical professionals, including data scientists, analysts, and computer scientists working with healthcare data or AI applications
  • Strategy and consulting professionals with a focus on digital transformation, cybersecurity, or emerging technologies in healthcare
  • Risk, compliance, and privacy professionals responsible for governance, regulatory adherence, and enterprise risk management
  • Public sector stakeholders, including regulators and policymakers shaping healthcare, data, and AI policy
“I would found an institution where any person could find instruction in any study.”
{Anytime, anywhere.}
Ezra Cornell
Founder of Cornell University

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