Design new molecules from scratch with generative AI chemistry.
Drug Discovery & Pharmaceutical Sciences
Module-by-module breakdown of AI for De Novo Drug Design | Generative AI Chemistry Course, from foundations to a certified capstone project.
Outline
Domain context and core principles of De Novo design โข Hands-on environment setup for chemistry AI โข Milestone review: assumptions, risks, and quality checkpoints
Outline
Workflow design for traceability and reproducibility โข Implementation lab: optimizing design under practical constraints โข Quality validation cycles and remediation steps
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Comparative architecture decision analysis โข Experiment strategy for AI under real-world conditions โข Benchmarking for calibration accuracy and reliability targets
Outline
Generative AI Productization: rollout sequencing & security โข MLOps & Reliability: drift detection and incident triggers โข Scale Engineering: balancing throughput and cost efficiency โข Capstone: End-to-end execution and portfolio-grade artifact presentation
e-Certificate and e-Marksheet issued on successful completion.