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DSTC-00477 Online (e-LMS) Graduate / Intermediate

The Battery Genome Project: AI for Energy Storage

by - DSTC

Accelerate battery discovery with AI and materials data.

โ˜…โ˜…โ˜…โ˜…โ˜… Be the first to review โ€ข 4 Weeks ยท 40 hrs โ€ข e-Certificate Included
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From โ‚น2,500 + GST

๐Ÿ“ˆ Career Pathways & Programme Audience

Bioinformatics & Computational Biology

Based on 37 real enrolments in The Battery Genome Project: AI for Energy Storage and closely related DSTC programmes.

Total enrolled

37

Typical participant

Ph.D. Scholar / Researcher

From academia / research

35.1%

Top participant countries

IndiaUnited StatesSpainMoroccoEgypt

Institutions our participants come from

  • South Valley University
  • benha university
  • SINES, NUST
  • Argonne National Lab
  • Sofia University

Earn government-registered certification in The Battery Genome Project: AI for Energy Storage

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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