Friday, August 19, 2022
HomeArtificial IntelligenceThe Mentoring periods are superb - Srikanth V N, PGP – AIML

The Mentoring periods are superb – Srikanth V N, PGP – AIML




I’m presently working as Head-of Strategic Tasks within the retail/manufacturing area for a famend firm in Srilanka. I’ve achieved Btech in Industrial Engineering, Lean Six Sigma Black Belt Licensed.

Challenges earlier than becoming a member of the course have been the Discount of the Uncooked materials Leftover value by 50 % – From $15mn to $7mn. Challenges at all times excite me as they create out my finest potential. And the explanations for selecting Nice Studying have been –

  1. Business Leaders
  2. Extremely Expert & Reputed School
  3. Case Examine-based Mentorship
  4. Tasks
  5. Hackathons
  6. Networking

The web medium was extra versatile for me, being an expert the place I can entry it at my comfort. The Mentoring periods within the PGP AIML course are superb as they’re taught by extremely skilled mentors working within the trade. The standard of the mentoring periods on 1st half until advice techniques was not that interesting. Deep Studying mentoring periods have been superb – Credit score to Mr. Arun. He helped make clear the doubts and the way effectively we will implement them in our career, the place mentor help is great

Via these newly discovered ability units, I’m able to scale back the provision chain value through the use of machine studying, EDA, BI instruments & Python, that are in a position to do with newly discovered ability units.

Recommendation to the brand new folks can be that – Analytics is an upcoming stream that requires each group to make strategic selections. Nice studying is the very best platform to study and contribute in direction of larger drawback fixing, making a constructive affect for a company.






Earlier articleDesigned for working professionals, with case research and versatile mentorship periods – Srikanth Babu, PGP AIML
Subsequent articleEssentially the most highly effective product progress methods

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