Explore our curated list of courses to enhance your AI literacy and skills in the medical field.
Sponsored by: Anthropic
Courses on using the Claude API, prompt engineering techniques, evaluations, and tooling with Claude 3 Haiku for cost efficiency. Includes 5 courses: API fundamentals, prompt engineering tutorial, real world prompting, prompt evaluations, and tool use.
Sponsored by: Google Cloud Skills Boost
This course demystifies generative AI and large language models in healthcare. Define AI/ML concepts, describe Generative AI healthcare use cases, understand Large Language Models, and learn prompt design techniques through hands-on labs.
Sponsored by: University of Michigan
Artificial intelligence (AI) and machine learning (ML) have the potential to increase diagnostic accuracy, decrease diagnostic errors, and improve patient outcomes. This course teaches how to use AI to augment diagnostic decision-making. Learn to describe the crucial role, strengths, and limitations of AI and ML in evidence-based medical decision making; evaluate machine learning studies for bias and systematic error; apply ML study results to diagnostic decisions; and identify legal and ethical issues in AI/ML healthcare use.
Sponsored by: American Medical Association
Discuss practical uses of AI in medical practice, addressing risks and transformational potential. Part of the AMA STEPS Forward® Innovation Academy webinar series.
Sponsored by: University of Michigan
Better understand how generative AI works and explore how artificial intelligence is set to influence various industries and jobs. Taught by Josh Pasek, Professor of Communication & Media and Political Science. Offered through Coursera.
Sponsored by: IBM SkillsBuild
AI can execute tasks in arenas where learning and judgment is called for, including self-driving cars, insurance, HR, trading, accounting, and healthcare. Covers AI's impact on the job marketplace with expected creation of 133 million new roles and displacement of 75 million existing roles by 2022 according to the World Economic Forum.
Sponsored by: NVIDIA
Comprehensive teaching kit providing a structured syllabus for generative AI training. Covers modules including: Introduction to Generative AI; NLP fundamentals; Large Language Models and Transformers; Scaling Laws; Multimodal Learning; Diffusion Models; Model Training; LLM Orchestration; and Distributed Training. Includes lecture slides, labs, demos, and links to suggested DLI online courses.