Overview
Autonomous Technology (AT) and the Internet of Autonomous Things (IoAT) are emerging technologies that bring about control and supervision with little to no input from humans.
Machines such as cars, trucks, trains and even spacecraft are progressively becoming more (Artificially) intelligent and together with various communication technology, positioning and smart sensor systems they are able to function in parallel with humans.
Who the course is for
This particular training course is intended for advance learners who are a part of this new revolution, either through personal choice or through changes in the workplace. The course will further educate the learner to understand how autonomous technology is becoming more prevalent in our day to day lives. This course will also attract learners from the mining background to advance their career and be a part of mines of the future.
If you are looking to step up to grab an opportunity to work in Remote Operation Centres where heavy haulage and mine processing is controlled via Autonomy then this advance level learning will provide you skills and knowledge.
What you'll learn
- Advance Level Machine Learning
- Advance Levels of Real time communication protocols
- Autonomy in Light Vehicles
- Autonomy in Mining and Industrial environment
- Introduction & Implementation of Autonomous Technologies
- Introduction to Robotics & Mechatronics
- Introduction to Industrial IoT
- Principles of Industry 4.0
- Fleet Management and Heavy Haulage in Mining
- Deep Learning and Artificial Intelligence
Curriculum
- Autonomy in Light Vehicles
- Autonomy in Mining and Industrial environment
- Introduction & Implementation of Autonomous Technologies
- Introduction to Robotics & Mechatronics
- Introduction to Industrial IoT
- Definitions and essential principles
- Autonomous, semi-autonomous & remote control
- Hybrid system (Carbon/Electric) technology
- Vehicle Integration
- Functional & Environmental safety
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- Introduction to Python Programming
- Introduction to Deep Learning Algorithms
- Case Study and Project
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Prerequisite
This course require comprehensive knowledge of engineering and software programming. You should have done any of the below to be eligible to enrol for this course.
- Vocational course upto AQF Level 5 in STEM or ICT from Australian Tertiary Educational provider
- Bachelor of Engineering in Electrical, Electronics, Computer Science or equivalent from reputed college or university
- Accomplished Foundation Course in Autonomous Technology from Techlearn
Career Outcomes
After completing this program, you will have acquired professional skills relating to Autonomous Technology and understand its impact within Industrial & Mining environments.
You will also progress your career to learn computer vision and deep learning techniques.
Career opportunities include:
- Autonomous Application Specialist
- Application Analyst
- Autonomous Consultant
Autonomous Technology
6 month course
Weekdays
On Demand
Price on Application
Techlearn Lab or Client Venue
Techlearn Lab or Client Venue