Pharma & Life Sciences
AI for drug discovery, chemistry, genomics and pharma quality and regulation.
Beginner
Start here. No background needed beyond school maths.
Drug Discovery (UC San Diego)
How a medicine goes from idea to approval: targets, screening, medicinal chemistry, safety and clinical trials. Good context for where AI fits in pharma. Free to audit on Coursera; the certificate is paid.
Coursera
EMBL-EBI On-Demand Training
Free self-paced courses and webinars from Europe's bioinformatics institute on biological databases, data analysis and machine learning in the life sciences.
EMBL-EBI
Advanced
Once the basics are comfortable.
BioInformatics: Algorithms and Applications (IIT Madras)
Sequence alignment, protein structure, genomics databases and the algorithms behind them, taught for biology and engineering students. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
Computational Genomics (IISER Bhopal)
Analysing genome data with computers: sequencing, assembly, gene expression and the statistics behind genomics. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
TeachOpenCADD: Computer-Aided Drug Design
A free, open teaching platform for drug design with Python: getting compound data, molecular similarity, virtual screening and deep learning on molecules, in step-by-step notebooks. No login needed.
Volkamer Lab
Algorithms in Computational Biology and Sequence Analysis (IISc)
The algorithms used to compare and search DNA and protein sequences at scale, from alignment to indexing. Free to learn on NPTEL; the certificate needs a proctored exam with a fee.
NPTEL
Computational Biology (MIT 6.047)
MIT's course on algorithms and machine learning for biology: genomes, gene regulation, evolution and networks, with lecture videos and notes.
MIT OpenCourseWare