Trainings
Applied programs for bioinformatics, AI, and scientific platforms.
Biomedical NLP
NER, summarization, and literature intelligence.
Duration: 4 weeks
Level: Intermediate
Tools: Transformers, spaCy, PubMed
Outcomes: Project-ready skill progression.
Django for Scientific Platforms
Build portals, dashboards, and resource hubs.
Duration: 3 weeks
Level: Intermediate
Tools: Django, Bootstrap
Outcomes: Project-ready skill progression.
Genomics Data Analysis
Pipeline thinking for sequence and expression data.
Duration: 6 weeks
Level: Intermediate
Tools: RNA-seq, QC, visualization
Outcomes: Project-ready skill progression.
GitHub Classroom Workflows
Assignment orchestration and code reviews.
Duration: 2 weeks
Level: Beginner
Tools: GitHub Classroom
Outcomes: Project-ready skill progression.
Kaggle & Colab for AI Research
Portable compute for fast experiments.
Duration: 2 weeks
Level: Beginner
Tools: Kaggle, Colab
Outcomes: Project-ready skill progression.
LLMs for Biology
Prompting, retrieval, and evaluation for bioscience use cases.
Duration: 4 weeks
Level: Intermediate
Tools: LLMs, RAG, Hugging Face
Outcomes: Project-ready skill progression.
Machine Learning for Bioinformatics
Modeling biological datasets with lightweight ML.
Duration: 6 weeks
Level: Intermediate
Tools: scikit-learn, notebooks
Outcomes: Project-ready skill progression.
Python for Bioinformatics
Foundations for computational biology workflows.
Duration: 4 weeks
Level: Beginner
Tools: Python, pandas, Biopython
Outcomes: Project-ready skill progression.