Global Academic Alliance

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DSTC-01574 Online (e-LMS) Graduate / Intermediate

Machine Learning Approaches for Predicting Antimicrobial Resistance (AMR)

by - Dr. Aishwarya Arun Andhare

Master Machine Learning Approaches for Predicting Antimicrobial Resistance (AMR) in 4 weeks through hands-on, project-based online training with DSTC.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 3 Days ยท 4.5 hrs โ€ข e-Certificate Included
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From โ‚น2,500 + GST

๐Ÿ“ˆ Career Pathways & Programme Audience

Antimicrobial Resistance (AMR)

Based on 131 real enrolments in Machine Learning Approaches for Predicting Antimicrobial Resistance (AMR) and closely related DSTC programmes.

Total enrolled

131

Typical participant

Academician / Faculty

From academia / research

38.2%

Top participant countries

United StatesIndiaEgyptSouth AfricaNetherlands

Institutions our participants come from

  • University of Botswana
  • Durban University of Technology
  • Zambia National Public Health Institute
  • Umm Al-Qura University
  • UMCG

Earn government-registered certification in Machine Learning Approaches for Predicting Antimicrobial Resistance (AMR)

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

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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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