Post Graduate Diploma in Machine Learning and Artificial Intelligence (E-Learning) (upGrad Institute)

Course Information

Course Type
Full-time
Fees (Local Students)
SGD $ 6,000
Fees (Foreign Students)
SGD $ 6,000
Other Fees
Application Fee: SGD $700 *Fees stated are inclusive of GST
Duration
13 months
Intake Months
Mar 31, 2024
Programme Grant
No student grant for this course.
Class Schedule
10-15 hrs/week
Assessment Method
Assignments, Projects and Written Exams

Description

Course Overview

Upon successful completion of the Programme, you will receive a Post Graduate Diploma in Machine Learning and Artificial Intelligence from upGrad Institute.
Earn a Post Graduate Diploma in Machine Learning and Artificial Intelligence from upGrad Institute and
  • Be part of the global upGrad community
  • Network with like-minded individuals and learners
  • Access and learn from global subject matter experts
  • Enhance your Machine Learning and Artificial Intelligence skills
  • Real world Machine Learning and Artificial Intelligence Industry Driven Projects & Case Studies
Why pursue a career in ML and AI?
With a constantly growing market, AI and ML is in every Industry, top businesses and across functions. From supply chain to business development, business analytics, digital marketing, and more. AI and ML today open up more opportunities and career options than ever before. Champion the most in demand skills and be armed with the skills of the future.

Entry Requirements

Minimum Eligibility

  • Minimum Age: 21 Years Old
  • Academic Level: At least Bachelor’s degree in any discipline or; Matured candidates who are at least 30 years old and above with 8 years of work experience and a Diploma and;  Obtained a score of at least 25 marks in the Math section and 20 marks in the Programming section of the admission test.
  • Language Proficiency: Bachelor's degree where English is the mode of delivery, or IELTS 6.0, or equivalent.* 

Career Opportunities

Data Engineer, Data Scientist, Machine Learning Engineer, MLOps Engineer.

Modules

  • Statistics and Exploratory Data Analysis
  • Machine Learning I
  • Machine Learning II
  • Deep Learning
  • Natural Language Processing
  • Elective 1: MLOps Elective
  • Elective 2: Generative AI Elective
  • Capstone Project

Locations

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