AI Artificial Intelligence Course

course overview

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An introduction to R and Python programming languages, plus a deep coverage of the mathematics, algorithms and technology of Machine learning. This 5-day course is designed for people who are already working with Big Data and analysing large statistical sets. By attending this course you'll learn what an effective Machine Learning approach looks like in an organisation. You'll learn to understand different models of Machine Learning and how to implement them. Also covered is how to validate the statistical quality and the metrics attached to that data and how to implement them practically using Python and R.


Each participant will leave with a recognised certificate


  • Machine Learning: Method
  • Introduction to Python
  • Data Preparation in Python
  • Machine Learning: Regression
  • Introduction to Mathematics
  • Mathematics of Machine Learning
  • Machine Learning Algorithms
  • Probability and Statistics
  • Python Machine Learning
  • Clustering in Python
  • Deep Learning in Python
  • Evaluating ML algorithms
  • Choosing ML algorithms: Cross Validation
  • Ensemble Modelling

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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Our clients have included prestigious national organisations such as Oxford University Press, multi-national private corporations such as JP Morgan and HSBC, as well as public sector institutions such as the Department of Defence and the Department of Health.