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Master of Artificial Intelligence 

Master of Artificial Intelligence
 at 
Victoria University of Wellington 
Overview

Gain skills and conceptual understanding that prepare you for a professional or academic future in Artificial Intelligence, with a Master’s degree from Te Herenga Waka—Victoria University of Wellington

Duration

24 months

Start from

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Total fee

33.49 Lakh

Mode of learning

Online

Official Website

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Course Level

PG Degree

Master of Artificial Intelligence
 at 
Victoria University of Wellington 
Highlights

  • Earn a degree from Victoria University of Wellington
  • Learn from industry experts
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Master of Artificial Intelligence
 at 
Victoria University of Wellington 
Course details

Who should do this course?
  • For individuals who want to enhance their knowledge & skills in the field
What are the course deliverables?
  • Students will gain a deep understanding of the core concepts and theories of artificial intelligence, including machine learning, deep learning, natural language processing, computer vision, and robotics
  • Students will develop expertise in working with AI tools and technologies, such as programming languages (Python, R, Java), machine learning libraries (TensorFlow, PyTorch, scikit-learn), and deep learning frameworks (Keras)
  • Students will learn how to apply AI techniques to solve complex problems in various domains, such as healthcare, finance, manufacturing, and transportation
  • Students will gain the ability to conduct research in AI, design and implement new algorithms, and evaluate their performance
  • Students will be able to communicate complex AI concepts effectively to both technical and non-technical audiences
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More about this course
  • A Master of Artificial Intelligence (AI) program typically offers an advanced curriculum focusing on the theory, algorithms, and applications of AI
  • The program delves into fundamental concepts of AI, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems

Master of Artificial Intelligence
 at 
Victoria University of Wellington 
Curriculum

Data Cleaning: Handling Missing Values, Outliers

Feature Selection and Extraction

Data Transformation: Normalization, Standardization

Gradient Descent and its variants

Stochastic Gradient Descent (SGD), Mini-batch Gradient Descent

Hyperparameter Tuning

Probability Theory: Bayes' Theorem, Probability Distributions

Statistical Inference: Hypothesis Testing, Confidence Intervals

Bayesian Methods: Bayesian Inference, Bayesian Networks

Master of Artificial Intelligence
 at 
Victoria University of Wellington 
Entry Requirements

Eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Yes

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Master of Artificial Intelligence
 at 
Victoria University of Wellington 
 
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Master of Artificial Intelligence
 at 
Victoria University of Wellington 
Contact Information

Address

PO Box 600
Wellington 6140
NEW ZEALAND

Wellington ( Other - New Zealand)

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