Choose from a curated set of bioinformatics and computational biology programs. Build real skills, work on meaningful projects, and earn a verified certificate.
Biotechnologists
Bioinformaticians
Researchers
Biochemists
Microbiologists
Geneticists
Pharmacists
Learn how machine learning and deep learning models are applied to biological data from protein folding to drug discovery.
8 Weeks
Online
3 credit hrs
Understand Genome-Wide Association Studies from study design to interpretation — including statistical models and population genetics.
8 Weeks
Online
3 credit hrs
Apply computational tools to predict antigens, model immune responses, and design multi-epitope vaccines in silico.
8 Weeks
Online
3 credit hrs
Explore microbial genome sequencing, assembly, annotation, and comparative genomics using industry-standard bioinformatics pipelines.
8 Weeks
Online
3 credit hrs
Analyze microbial communities from environmental and clinical samples using next-gen sequencing and bioinformatics pipelines.
8 Weeks
Online
3 credit hrs
From research writing and referencing to graphic design, scientific posters, and presentation skills built for beginners.
8 Weeks
Online
3 credit hrs
MgBio has helped learners build skills, complete real research projects, and grow their careers across 50+ universities and industries.
Simply fill out the registration form, and your Internship Offer Letter will be issued within 24–48 hours.
Receive your offer letter via email and join our community channels for program updates.
Attend live mentor sessions on Google Meet and complete real-world research tasks for your domain.
Submit your work. Upon verification, receive your industry-recognized MGBio completion certificate.
"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."
"This experience gave me valuable learning opportunities in applying AI to biological research. I gained hands-on skills at the intersection of AI and biology that will greatly support my future research career."
"Recognized as 1st Achiever for individual performance and 3rd position in Top Performing Group out of 23 groups. The most valuable takeaway was developing expertise in applying machine learning using Python to complex biological datasets."
"I gained hands-on experience at the intersection of AI and biology, enhancing my understanding of how computational tools can be applied to solve complex biological problems. I look forward to applying these skills in future research."
"This internship bridged the gap between biosciences and modern computational approaches. The program covered Foundations of AI & ML and Applied ML in Biosciences — truly inspiring me to explore bioinformatics and data-driven biology."
"During my metagenomics internship, I worked on implementing DBSCAN clustering for microbial data, applying UMAP for dimensionality reduction, and exploring BioLLM models for sequence embeddings — a truly enriching research experience."