Programme Parameters
Foundation
6 Weeks (60 Hrs)
Online (e-LMS)
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
PCR technology is foundational in molecular biology, enabling genetic analysis for diagnostics, gene expression quantification, and mutation detection. qPCR and dPCR are advanced techniques that allow for precise quantification of nucleic acids, with applications in clinical diagnostics, pathogen detection, and genetic research. However, optimizing PCR reactions, designing effective primers, and analyzing the resulting data can be time-consuming and prone to errors. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
PCR technology is foundational in molecular biology, enabling genetic analysis for diagnostics, gene expression quantification, and mutation detection. qPCR and dPCR are advanced techniques that allow for precise quantification of nucleic acids, with applications in clinical diagnostics, pathogen detection, and genetic research. However, optimizing PCR reactions, designing effective primers, and analyzing the resulting data can be time-consuming and prone to errors.
📋 Course Objectives
1. Apply biotechnology methods to authentic research and industry problems.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A portfolio-grade biotechnology deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Relative and Absolute Measurement
• 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
dPCR and Partition-Based Counting
• 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
Probes, Multiplexing and Controls
• 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
MIQE and Analytical Validation
• 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
Diagnostic Deployment
• 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
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | PyTorch |
| Covered Tool / Platform | Keras |
| Covered Tool / Platform | Scikit-learn |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Hugging Face |
Frequently Asked Questions
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