📚 Syllabus & Course Curriculum
Bioinformatics & Computational Biology
Module-by-module breakdown of Industrial Deep Learning & Bio-Sequence Modeling, from foundations to a certified capstone project.
Foundations
• Multi-Layer Perceptrons & CNNs on sequence data
• Recurrent networks & sequence encoding pipelines
• Data pipelines for biological data formats (FASTA, PDB)
Transformers
• Self-attention mechanisms and transformer blocks
• ESM-2 and biological protein language models
• Fine-tuning transformers for genomic sequence categorization
Graphs
• Graph representations of molecules and ligands
• Message passing algorithms, GCNs, and GATs
• Equivariant networks for molecular docking and protein folding
Generative AI
• Generative diffusion models for molecule generation
• AlphaFold architecture overview and structural prediction
• Practical de novo protein design using PyTorch and open source checkpoints
Earn government-registered certification in Industrial Deep Learning & Bio-Sequence Modeling
e-Certificate and e-Marksheet issued on successful completion.
