Choose from a curated set of bioinformatics and computational biology programs. Build real skills, work on meaningful projects, and earn a verified certificate.
Learn how machine learning and deep learning models are applied to biological data from protein folding to drug discovery.
8 Weeks
Online
Understand Genome-Wide Association Studies from study design to interpretation — including statistical models and population genetics.
8 Weeks
Online
Apply computational tools to predict antigens, model immune responses, and design multi-epitope vaccines in silico.
8 Weeks
Online
Explore beyond reference genomes — learn to construct, annotate, and analyze pangenomes for population-level genomic studies.
8 Weeks
Online
Analyze microbial communities from environmental and clinical samples using next-gen sequencing and bioinformatics pipelines.
8 Weeks
Online
MgBio has helped learners build skills, complete real research projects, and grow their careers across 50+ universities and industries.
"Over two months, I explored the intersection of AI, ML, and biosciences, diving deep into Python-based model building, preprocessing, clustering, supervised & unsupervised learning. This journey sharpened my technical skills and analytical thinking."
"I learned how AI & Machine Learning can be applied in biosciences from Python programming and supervised/unsupervised learning to handling biological datasets for real-world applications. This milestone has strengthened my passion for combining Biotechnology with AI."
"This experience was more than just a training, it was a journey of growth. From learning the foundations of AI and ML to applying them in biosciences and real-world biological projects, I've gained both theoretical knowledge and practical skills."
"Over two months, I explored the intersection of AI, ML, and biosciences, diving deep into Python-based model building, preprocessing, clustering, supervised & unsupervised learning. This journey sharpened my technical skills and analytical thinking."
"I learned how AI & Machine Learning can be applied in biosciences from Python programming and supervised/unsupervised learning to handling biological datasets for real-world applications. This milestone has strengthened my passion for combining Biotechnology with AI."
"This experience was more than just a training, it was a journey of growth. From learning the foundations of AI and ML to applying them in biosciences and real-world biological projects, I've gained both theoretical knowledge and practical skills."
"Over two months, I explored the intersection of AI, ML, and biosciences, diving deep into Python-based model building, preprocessing, clustering, supervised & unsupervised learning. This journey sharpened my technical skills and analytical thinking."
"I learned how AI & Machine Learning can be applied in biosciences from Python programming and supervised/unsupervised learning to handling biological datasets for real-world applications. This milestone has strengthened my passion for combining Biotechnology with AI."
"This experience was more than just a training, it was a journey of growth. From learning the foundations of AI and ML to applying them in biosciences and real-world biological projects, I've gained both theoretical knowledge and practical skills."
"Over two months, I explored the intersection of AI, ML, and biosciences, diving deep into Python-based model building, preprocessing, clustering, supervised & unsupervised learning. This journey sharpened my technical skills and analytical thinking."
"I learned how AI & Machine Learning can be applied in biosciences from Python programming and supervised/unsupervised learning to handling biological datasets for real-world applications. This milestone has strengthened my passion for combining Biotechnology with AI."
"This experience was more than just a training, it was a journey of growth. From learning the foundations of AI and ML to applying them in biosciences and real-world biological projects, I've gained both theoretical knowledge and practical skills."
"Over two months, I explored the intersection of AI, ML, and biosciences, diving deep into Python-based model building, preprocessing, clustering, supervised & unsupervised learning. This journey sharpened my technical skills and analytical thinking."
"I learned how AI & Machine Learning can be applied in biosciences from Python programming and supervised/unsupervised learning to handling biological datasets for real-world applications. This milestone has strengthened my passion for combining Biotechnology with AI."
"This experience was more than just a training, it was a journey of growth. From learning the foundations of AI and ML to applying them in biosciences and real-world biological projects, I've gained both theoretical knowledge and practical skills."
"Over two months, I explored the intersection of AI, ML, and biosciences, diving deep into Python-based model building, preprocessing, clustering, supervised & unsupervised learning. This journey sharpened my technical skills and analytical thinking."
"I learned how AI & Machine Learning can be applied in biosciences from Python programming and supervised/unsupervised learning to handling biological datasets for real-world applications. This milestone has strengthened my passion for combining Biotechnology with AI."
"This experience was more than just a training, it was a journey of growth. From learning the foundations of AI and ML to applying them in biosciences and real-world biological projects, I've gained both theoretical knowledge and practical skills."
Chat with us