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DSTC-01479 Online (e-LMS) Advanced Postgrad

AI in Patient Monitoring and Management

by - DSTC

Monitor patients intelligently with AI.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 8 Weeks ยท 80 hrs โ€ข e-Certificate Included
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From โ‚น10,700 + GST

๐Ÿ’ป Software & Environment Setup

Data Science & Analytics

The computational toolchain and environment used throughout AI in Patient Monitoring and Management.

Patient monitoring management coursePatient monitoring management online trainingBest patient monitoring management certificationPatient monitoring management for researchersPatient monitoring management hands-on workshopLearn patient monitoring management
# Recommended conda environment
conda create -n dstc_env python=3.11 -y
conda activate dstc_env
pip install numpy pandas scikit-learn matplotlib seaborn
Python 3.11 + Jupyter
Interactive analysis notebooks
pandas / NumPy
Data wrangling & numerics
scikit-learn
Modelling & evaluation
Plotly / Seaborn
Statistical visualisation
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.

Earn government-registered certification in AI in Patient Monitoring and Management

e-Certificate and e-Marksheet issued on successful completion.

View full course โ†’

Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

The proforma invoice is emailed here as well as to you.
๐Ÿ“„ Upload Sponsorship Slip / Letter

Signed letter on official letterhead, or the bank transfer slip. PDF/JPG/PNG, up to 5 MB.

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