Master Programming Biology with Foundation Models and Agentic AI in 6 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Programming Biology with Foundation Models and Agentic AI, from foundations to a certified capstone project.
Interfaces
β’ Hugging Face, model hubs and running inference reproducibly
β’ Batching, quantisation and fitting a large model on available GPU memory
β’ Environment pinning so a pipeline still runs in six months
Embeddings
β’ Extracting protein and genomic embeddings and inspecting what they encode
β’ Downstream heads for classification, regression and annotation
β’ Baseline comparison against BLAST and classical features before claiming a gain
Agents
β’ Agent loops: planning, tool invocation and observation
β’ Wrapping bioinformatics tools so a model can call them safely
β’ Error propagation, and why a long autonomous chain compounds mistakes
Pipelines
β’ Literature retrieval, data acquisition and analysis chained end to end
β’ Human checkpoints at the steps where an error would be expensive
β’ Logging every call so an agent-produced result can be audited
Judgement
β’ Confident wrong answers in biology and the domain checks that catch them
β’ Cost control and runaway loops in autonomous execution
β’ Biosecurity considerations in sequence design and the responsible disclosure norm
e-Certificate and e-Marksheet issued on successful completion.