Introduction to Artificial Intelligence

This course provides a nontechnical introduction to artificial intelligence, with specific focus on its applications in real-world use cases.

Overview

Artificial intelligence (AI) is a broad term covering the multidisciplinary science of analysing and building human-like intelligence into machines so that they “think” and act rationally.

The discipline integrates computer science and logic with cognitive psychology and – depending on the field involved – draws on biology, natural language and philosophy to translate the underlying principles of human cognitive processes into programming that triggers specific action in a computer, leading to machine and other action.

Who is it for?

Anyone who is preparing to work with AI.

Certificates are awarded on the following basis:

  • Certificate of completion: Cumulative average of 80% in online tests
  • Certificate of participation: Cumulative average of 50%-79% for online tests
  • Certificate of attendance: Cumulative average of less than 50% for online tests

Learning outcomes

You should emerge from this course:

  • Familiar with the evolution of AI;
  • Understanding the major components of artificial intelligence, including how to represent knowledge and reasoning in programming;
  • Understanding how neural networks and machine learning work;
  • Familiar with data preparation requirements;

And able to:

  • Structure – and know when to use – different types of search;
  • Structure Bayesian, clustering, decision-tree and instance-based algorithms;
  • Deal with constraints;
  • Apply basic AI concepts to solve problems in game writing, and to implement search techniques; and
  • Write a basic AI app.

You will cover

Why it is important to be able to discuss AI; commonly used terminology; how AI works; how and when it can be applied; use cases; strategic application of AI; finding the right problem to solve; designing and implementing an AI solution; common pitfalls; managing regulations; the future of AI.

Course prerequisites

  • Basic computer knowledge
  • Data structure knowledge will give you an advantage, but is not compulsory
  • To complete the final task in this course you must be familiar with a coding language such as Python or R

Job opportunities

  • Junior AI professional

DELIVERY OPTIONS

Overview

Participants will engage with the course through recorded classes and supporting content online

What you will get 

  • 16 hours of on-demand video
  • Eight study guides accompanying the video recordings
  • Practical tasks and digital assessments
  • Online access any time for the duration of the course
  • Certification

Course fees
R400.00

Job opportunities

  • Management consultant, CEO, CIO
  • More businesses require blockchain professionals
  • Huge market demand

This option is available from 2021

For more information enquire here

Course Curriculum

Time: 4 weeks
Curriculum is empty

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