AI Technologies in Healthcare
By External Provider
About this course
Artificial intelligence is redefining healthcare by improving diagnosis, accelerating research, and supporting clinical decision-making. This course explores how advanced AI technologies such as natural language processing (NLP), generative AI, and computer vision transform medical practice, data analysis, and patient care. You’ll learn how NLP extracts insights from clinical notes, how generative models produce structured medical content and decision support recommendations, and how computer vision powers diagnostic imaging and multimodal AI applications. Throughout the course, you’ll engage in guided, hands-on labs that bridge theory with real-world application. You will use Jupyter Notebook files in a Google Colab environment to complete the labs. Your learning journey culminates in a final project where you’ll build an end-to-end system that demonstrates practical and ethical use of AI in healthcare. By the end, you’ll be ready to design impactful AI solutions that enhance care delivery and innovation in healthcare.
What you will learn
- Identify key AI technologies in healthcare, including NLP, generative AI, and computer vision.
- Explain how advanced AI models process clinical text, patient data, and medical images.
- Analyze healthcare datasets to design and evaluate AI models using guided Jupyter labs.
- Create an integrated AI solution combining NLP, generative AI, and computer vision tools.