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MPS in Applied Machine Intelligence 

  • Offered byupGrad
  • Private Institute
  • Estd. 2015

MPS in Applied Machine Intelligence
 at 
upGrad 
Overview

Empower to develop a versatile skill set and effectively navigate the dynamic and constantly evolving AI landscape

Duration

8 months

Total fee

₹5.25 Lakh

Mode of learning

Online

Official Website

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Course Level

PG Degree

MPS in Applied Machine Intelligence
Table of content
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MPS in Applied Machine Intelligence
 at 
upGrad 
Highlights

  • Earn a degree from IIIT Bangalore
  • Fee can be paid in instalments
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MPS in Applied Machine Intelligence
 at 
upGrad 
Course details

Who should do this course?

Individuals with a strong academic background, particularly from Science/Engineering/Technology

Ideal for individuals seeking career opportunities as Machine Learning Engineer, Business and Marketing Data Analysts, Data Scientists, Data Engineer

Individuals seeking a comprehensive AI education with experiential curricula, multidisciplinary problem-solving approach, and a focus on developing a versatile skill set for navigating the dynamic AI landscape

More about this course

MPS in Applied Machine Intelligence empowers students with experiential AI curricula, including introductory and advanced coursework

This comprehensive program offers a regorous concentration in AI for Finance, AI for HR, AI for Business ventures, and AI for Healthcare

Northeastern's MPS in Applied Machine Intelligence curriculum embraces a multidisciplinary problem-solving approach by integrating computer science, analytical skills, industry expertise, creativity, and leadership

This unique combination empowers students to develop a versatile skill set and effectively navigate the dynamic and constantly evolving AI landscape

MPS in Applied Machine Intelligence
 at 
upGrad 
Curriculum

Pre-Programme Preparatory Content

Data Analysis in Excel

Analytics Problem Solving 

 

Course 1 - Data Toolkit

Introduction to Python

Programming in Python

Python for Data Science

Data Visualization in Python

Exploratory Data Analysis

Credit EDA Case Study

Inferential Statistics

 

Course 2 - Machine Learning-I

Linear Regression

Linear Regression Assignment

Logistic Regression

Classification using Decision Trees

Unsupervised Learning: Clustering

 

Course 3 - Specialisation (Option to choose from 5 tracks)

Deep Learning

Natural Language Processing

Business Analytics

Business Intelligence/Data Analytics

Data Engineering

MPS in Applied Machine Intelligence
 at 
upGrad 
Entry Requirements

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  • N/A

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MPS in Applied Machine Intelligence
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