📚 Syllabus & Course Curriculum
Biotechnology & Genetic Engineering
Module-by-module breakdown of AI-Driven Primer Design, qPCR, dPCR & Diagnostic Applications, from foundations to a certified capstone project.
Quantification
• Cq determination, baseline and threshold setting and their effect on results
• Standard curves, amplification efficiency and the acceptable 90-110 percent range
• Delta-delta-Cq assumptions and when they are simply invalid
Digital
• Poisson statistics behind absolute quantification without a standard curve
• Droplet and chip platforms compared on dynamic range and partition count
• Rain, threshold placement and how partition number bounds the achievable precision
Assay Design
• Hydrolysis probes, molecular beacons and dye-based detection compared
• Reference gene selection and validation with geNorm or NormFinder
• Multiplex channel crosstalk and the compensation it demands
Reporting
• MIQE and dMIQE checklists as the minimum publishable reporting standard
• dUTP/UNG carryover prevention and contamination monitoring
• Limit of detection, limit of quantification and linearity established with real data
Clinical
• Sample types, extraction and inhibitors that defeat an otherwise good assay
• Liquid biopsy and rare-allele detection where dPCR outperforms qPCR
• Regulatory expectations and the difference between a research and a clinical assay
Earn government-registered certification in AI-Driven Primer Design, qPCR, dPCR & Diagnostic Applications
e-Certificate and e-Marksheet issued on successful completion.
