Overview

Artificial Intelligence (AI) as opposed to human intelligence, can be found in specialised computer systems, machines and software which are able to perform tasks that normally require human intelligence, such as optical &  speech recognition and decision-making.

AI had humble beginnings in the 1950s when the AI terminology was first used. Today AI can be found in the games development arena but has also become embedded in everyday things such as aeroplanes, motor vehicles and robots for example.

A number of advances in computer hardware and software have resulted in AI advancing to machine learning technology and is already defining the next generation of software systems.

Who the course is for

This course is designed for individuals working with machines and robots that require an understanding of the different systems available, their construction and operating logic. Students with careers in automotive, engineering and computer systems will also enjoy the topics represented in this course.

What you'll learn

The focussed level training in AI will provide students to learn the advanced systems containing advance electronic analog circuits to mimic neuro-biological architectures present in the nervous system. 

 

Curriculum

Artificial intelligence is already starting to shape the world of tomorrow. Learn how to give computers the ability to solve complex problems by teaching them to learn and provide us with insights that would never be possible through human intelligence alone.

Understanding how to extract and manage large amounts of data is essential for teaching computers to solve problems. In this module, you will learn robust techniques for manipulating and interpreting data.

  • Database and Structured Data
  • MS Excel
  • MS Access

In this module, you will develop specific techniques to teach computers to learn and classify data using training algorithms. You will learn the differences and benefits of supervised and unsupervised learning.

  • Supervised Learning
  • Unsupervised Learning
  • Reinforced Learning

Python is a powerful open-source programming language that has many packages that are dedicated to machine learning applications. In this module, you will learn how to write a few simple scripts for manipulating data.

  • Using the Anaconda distribution with Jupyter Notebook and Python
  • Python IDLE, shell and syntax basics
  • General arithmetic functions, properties and data types
  • Creating & using variables
  • Simple python functions
  • Importing functions from other distributions
  • Soliciting operator input to your programs
  • Simple Lists, Tuples, Sets and Dictionaries
  • Simple Loops and Software structs

You don’t need extensive programming experience. In this module, you will learn to use many of the software tools and packages, such as SciKitLearn that have been specifically designed for artificial intelligence applications.

  • SciPy
  • NumPi
  • Pandas
  • SciKit-Learn

Artificial neural networks are a set of algorithms that are designed to recognise patterns. In this module you will learn how to implement these powerful models, which are loosely based on human neural networks, to teach a computer to recognise patterns. In deep learning, many artificial neural networks are stacked together to improve the effectiveness of the learning process. We will explore Deep learning and discover amazing results in applications such as image recognition.

  • Convolutional Neural Networks
  • Fundamentals of Deep Learning
  • Caffe, Theano, and Tensorflow

In this module, you will learn how neuromorphic computing is a unique way of teaching a computer to learn in an attempt to mimic the way the human brain works. This emerging technology has the potential to revolutionise artificial intelligence applications.

  • True North
  • SpiNNaker
  • Human Brain Project

In this module, you will learn about cognitive learning. This state of the are approach combines the benefits of traditional machine learning approaches with neuromorphic computing for a new level of artificial intelligence. Cognitive learning has the potential to solve a variety of different problems.

In this module, you will explore the benefits of artificial intelligence as well as the potential issues from employment to social and ethical consequences associated with the large-scale use of intelligent systems. You will also examine how society and governments will need to be prepared for the developments of the future and explore the possibility of super artificial intelligence.

In this module, you will have the opportunity to implement many of the techniques you have learnt into a real scenario and use artificial intelligence to solve a unique problem.

Prerequisite

This course requires basic knowledge of engineering and software programming. You should have done any of the below to be eligible to enrol for this course.

  • Vocational course up to AQF Level 5 (Cert III/IV/Diploma) in STEM-based course OR ICT course from  Australian Tertiary Educational provider
  • Bachelor of Engineering in Electrical, Electronics, Computer Science or equivalent degree from a reputed college or university globally)
  • Accomplished Overview and Foundation in AI training course from Techlearn.

Career Outcomes

  • Games developers
  • Software engineers
  • Mechatronics engineers

Career opportunities  include:

  • Machine Learning Specialist
  • Business Analyst

Did you know?

AI jobs are one of the top 10 jobs in demand in the whole world.

In the last 2 years, WA listed 20 startup companies working in AI domain and will be hunting for skilled individuals.

The starting package for “Machine Learning Specialist” is $200,000 USD or equivalent globally.

Artifical Intelligence

6 month course

Coming Soon

April 2020

4,500

Techlearn Training Facility
Techlearn Training Facility

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