- MITx: Introduction to Biology - The Secret of Life
- MIT: Getting up to Speed in Biology
- MIT: Introductory Biology
- EMBL-EBI: On-demand training
- Khan Academy: AP Biology
- HarvardX: Principles of Biochemistry
- Université de Genève: Chemical Biology
- Icahn School of Medicine at Mount Sinai: Introduction to Systems Biology
- Introduction to Genomics for Engineers
- Rice University: DNA - Biology’s Genetic Code
- 23andME: Introduction to Genetics for Beginners
- Johns Hopkins University: Introduction to the Biology of Cancer
- Innovative Genomics Institute: Education
- HarvardX: Cell Biology: Mitochondria
- UC San Diego: Bioinformatics Specialization
- Peking University: Bioinformatics - Introduction and Methods
- Computational Genomics with R
- DeepLearning.AI: AI for Medicine
- Bioinformatics Workbook
- UC San Diego: Introduction to Genomic Data Science
- Georgetown University: Demystifying Biomedical Big Data: A User’s Guide
- Johns Hopkins University: Genomic Data Science Specialization
- Johns Hopkins University: Algorithms for DNA Sequencing
- MIT OpenCourseWare: Machine Learning for Healthcare
- IPAM: Deep Learning and Medical Applications
- Rosalind
- Columbia University: Machine Learning
- MIT: 6.S191 - Deep Learning
- Google: Machine Learning Crash Course
- DeepLearning.AI: Deep Learning
- Cornell University: Applied Machine Learning
- Stanford: CS224W - Machine Learning with Graphs
- NYU: Deep Learning
- University of Michigan: Deep Learning for Computer Vision
- Dynamic Vision and Learning Group: Computer Vision: Detection, Segmentation and Tracking
- Universität Tübingen: Computer Vision
- Columbia University: First Principles of Computer Vision
- University of Pennsylvania: Graph Neural Networks
- Stanford: CS324 - Large Language Models