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VIRTUAL INTERNSHIP PROGRAM – AUGUST & SEPTEMBER 2021

SKU: PCINTRAUG21

2,999.00 399.00 (inc. GST)

About Internship:

Virtual Internship on Machine Learning and AI conducted by Pincore Communal knowledge sharing team (A Sub-Caudal of Pincore Technologies India Pvt. Ltd.). The training will be conducted by Industrial Expert of respective domain. This Internship will be offered for anyone who is keen to learn ML and AI basic concepts, also course module is designed as per the beginners learning.

About Internship:

Virtual Internship on Machine Learning and AI conducted by Pincore Communal knowledge sharing team (A Sub-Caudal of Pincore Technologies India Pvt. Ltd.). The training will be conducted by Industrial Expert of respective domain. This Internship will be offered for anyone who is keen to learn ML and AI basic concepts, also course module is designed as per the beginners learning.

Pre-Requisites to Attend Internship:

  • Student Must have proper Internet facility.
  • Live Q & A Session will be there at end of each session.
  • Assignments will be provided at the end of each session which is to be submitted at the end of the day.
  • Sessions attendance will be maintained on daily basis and student should maintain 100% attendance to avail the certificate
  • This internship is valid only for respective student. It cannot be transferred to any other student.

Terms & Conditions: 

  • Preliminary Details and report will be provided
  • 4 Weeks Internship Certificate will be provided according to VTU, SRM and also Autonomous Colleges
  • Anyone mini project can be selected among Standard 10 mini projects, their respective details will be provided.
  • The Internship Fee amount is INR 499/- (Hardcopy of the certificate with ML kit documents will be shared)
Session 1

Introduction to Machine Learning & Artificial Intelligence.

Session 2

Exploring the Landscape of Python & Data Understanding

Session 3

Workflow of Machine Learning & Datasets

Session 4

Machine Learning Algorithms & Linear regression

Session 5

Supervised Learning Algorithms

Session 6

Unsupervised Learning Algorithms

Session 7

Natural Language Processing

Session 8

Introduction to Deep Learning

Session 9

Artificial Neural Network

Session 10

Convolutional Neural Network & Demo

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