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
Students will learn the essentials of AI including advanced systems containing electronic analog circuits to mimic neuro-biological architectures present in the nervous system.
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.
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.
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.
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.
You’ll also learn various other tools available in the market for AI applications.
In this module, we 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. We will examine how society and governments will need to be prepared for the developments of the future.
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 in AI training course from Techlearn.
- 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 the AI domain and will be hunting for skilled individuals.
The starting package for “Machine Learning Specialist” is $200,000 USD or equivalent globally.
Dates, Fees & Location
The Foundation course in AI is now delivered online or in classroom. Our trainer will send you information and instruction to connect online or get in touch with you about the venue and schedule.
- Date – On Demand
- Day – Every Weekday
- Duration – 5 Days
- Time – 9 – 5 pm
- Location – Online or Classroom based
- Fee – Price on Application