
AI in healthcare courses
Artificial intelligence offers incredible potential in the healthcare industry. It can streamline administrative processes, improve patient data security and organization, and support lifesaving diagnostics and treatment.
With edX, you can learn from industry experts and explore how to implement this technology in your daily practice. Find the best healthcare AI course for you and discover new ways to enhance patient care on edX today.
Why take AI in healthcare courses?
Build foundational knowledge
Find introductory courses that provide an overview of AI's applications and potential across healthcare.
Develop targeted skills
Create specialized knowledge to advance in your career and lead your workplace's AI revolution.
Get a degree
Complete a bachelor's, master's, or doctoral degree program and prepare for a career in healthcare AI systems.
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What you'll learn
In a healthcare AI course, you can build the skills necessary to implement AI technology into your daily processes. They offer many technical AI skills as well as the soft skills required to make AI a helpful tool, such as communication, problem-solving, and organization.
An AI in healthcare course may cover:
- AI and machine learning fundamentals
- AI in healthcare law and ethics
- Data science, analytics, and visualization in healthcare
- Prompt engineering
- Algorithms in healthcare systems
- Case studies
What can you do after learning AI in healthcare?
Because AI in healthcare is a continuously expanding field, opportunities for people with relevant skills are growing every day.
If you plan on going to graduate school after learning, explore micro-credential programs that may provide credits for degree programs:
If you're interested in AI in healthcare but aren't sure if you want to invest in a degree program, consider courses that allow you to explore the subject to help you decide whether to invest in a degree:
- Learn more: HBKUx: Applications of AI in Healthcare
Additionally, you can open up new opportunities with résumé-boosting skills from professional certificate programs:
Entry-level roles for AI in healthcare
Below, explore entry-level roles for professionals with AI in healthcare knowledge, with salary and job outlook data from the Bureau of Labor Statistics:
Medical records specialists
These employees help implement health information systems to track patient data and secure sensitive information. With further education, these employees can become health information technologists, medical registrars, or health services managers.
- Required skills: Medical coding, healthcare data ethics and law, data analytics
- Median annual salary (2024): $50,250
- Projected annual job growth (2023-33): +9%
Medical assistants
These medical professionals help doctors by completing administrative tasks and providing general care, like collecting patient information and scheduling appointments. With further education, medical assistants can become nurses or medical records specialists.
- Required skills: Medical charting, communication, analytics
- Median annual salary (2024): $44,200
- Projected annual job growth (2023-33): +15%
Pharmacy technicians
These employees work with pharmacists at hospitals and drugstores to collect patient information, review doctor notes, and stock and measure medication. With further education, pharmacy technicians can become medical technicians or pharmacists.
- Required skills: Attention to detail, math, organization
- Median annual salary (2024): $43,460
- BLS projected annual job growth (2023-33): +7%
Careers in AI with more education
Healthcare workers can create abundant career opportunities by gaining AI skills in degree programs and continuing education. Because machine learning is an ever-evolving field, any healthcare worker can take courses to learn to integrate it into their work processes with courses, degree programs, and certificate programs on edX.
Advanced healthcare roles that can implement AI may include:
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