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'll Learn
- Identify key AI technologies in healthcare including NLP and computer vision
- Explain how advanced AI processes clinical texts, data, and images
- Analyze healthcare datasets to design and evaluate AI models
- Create integrated AI solutions combining NLP, generative AI, and vision tools
Prerequisites
- Basic familiarity with AI terminology
- Readiness for hands-on practice via exercises or case studies
Instructors
Ramesh Sannareddy
Data Engineering Subject Matter Expert
SkillUp