Institute of Engineering and Transport
Course Title: Advanced Diploma in Robotics, Drone Technology, Automation and Artificial Intelligence
Course Code: EE4-01-21

ECTS: 120 ECTS

Course details

Mode: May include the possibility of Work-Based Learning
This course presents learners with introductory knowledge about artificial intelligence and machine-learning techniques, followed by automation systems, robots and drone functionality. Learners will have the opportunity to use various AI hardware and software tools to control a range of input and output devices, apply various forms of signal conditioning, use embedded systems and apply communication standards. This course is structured in a way that supports learners in understanding the operational characteristics and concepts of drones, automation and robotic systems through practical experiments. Additionally, students are guided to develop the skills required to design, install, troubleshoot, maintain and programme such systems.
Dan il-kors jipprovdi lill-istudenti għarfien introduttorju dwar it-teknika tal-intelliġenza artifiċjali u magni intelliġenti, kif ukoll dwar sistemi ta’ awtomatizzazzjoni, robots u l-użu ta’ drones. L-istudenti jkollhom l-opportunità li jużaw apparat u softwer ta’ Intelliġenza Artifiċjali biex jikkontrollaw għażla ta’ input u output devices, japplikaw diversi tipi ta’ signal conditioning, jużaw embedded systems u japplikaw standards ta’ komunikazzjoni. Dan il-kors huwa mqassam b’tali mod li, permezz ta’ esperimenti prattiċi, jgħin lill-istudenti jifhmu l-karatteristiċi operazzjonali u l-kunċetti tad-drones, l-awtomatizzazzjoni u s-sistemi robotiċi. Barra minn hekk, l-istudenti jiġu megħjuna jiżviluppaw dawk il-ħiliet meħtieġa biex jiddisinjaw, jistallaw, jidentifikaw il-problemi, jagħmlu l-maintenance u jipprogrammaw sistemi bħal dawn.
MQF Level: 4
Duration: 2 Years Full-time
Entry requirements: Any MCAST MQF Level 3 Diploma
or
4 SEC/O-Level/SSC&P (Level 3) passes
Compulsory: One subject from Engineering Technology or Design and Technology or Chemistry or Mathematics or Physics.
Other entry requirements: –
Career opportunities: Automation technician, Artificial intelligence technician, Autonomous vehicle technician, Technician in the manufacturing industry
Programme details:
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