Artificial intelligence (AI) is a subfield of computer science that focuses on the development, implementation and analysis of intelligent agents represented in the form of computer systems. The field focuses on developing intelligent machines that can carry out functions that are traditionally performed by people.

AI systems learn about patterns and characteristics by combining massive amounts of data with sophisticated, iterative processing algorithms. Every time an AI system processes a new set of data, it evaluates its operation, learns something new and improves its performance.

It is a rapidly growing field and below are the top two reasons you should consider studying an AI course.

Global skills of the century

Our daily routines, offices and entertainment options are all being revolutionised by AI technology and thus raise the expectations towards its capabilities.

The public’s expectations for AI software and products often stem from the false belief that they can solve problems on their own and operate without human input. An example of this misconception can be seen when many were surprised when Google informed users that their audio snippets in Google Assistant may be listened in by humans to enhance voice recognition technology.

While software may be updated to incorporate new knowledge and data into the next learning cycle, it requires human data scientists to define the problem, collect the necessary data, choose the most relevant datasets, eliminate sources of bias in the training data and so on.

The following are the top two technical skills required to be successful in understanding and building AI systems.

  • Programming languages

A solid understanding of at least one of the four most popular AI programming languages (Python, R, C++, or Java) is very advantageous for anybody assigned to developing machine learning algorithms.

  • Data Engineering

When it comes to machine learning, data engineering is essential in getting the necessary information ready for the algorithms to work with.

Machine learning is defined as automatic pattern recognition and prediction based on large amounts of data with little to no human oversight. 

Data engineering is about building, maintaining and improving data pipelines and infrastructure to let businesses store, process, and analyse massive amounts of data. This skill helps guarantee the information being utilised is correct, trustworthy and applicable.

Versatility of AI expertise

Expertise in AI and machine learning is in high demand due to the increasing prevalence of technologies such as self-driving cars, smart delivery robots and AI-driven language processing tools. Several industries, not only those related to engineering and IT, are becoming interested in AI because of the many potentials uses. These fields include logistics, manufacturing and more.

For example, healthcare professionals may use AI to gain a deeper insight into their patients’ daily routines and requirements, allowing them to offer more personalised feedback, guidance, and assistance in maintaining good health. Computer vision and machine learning, for instance, have shown promise in aiding with the diagnosis of skin cancer and other serious diseases, and even in facilitating intricate surgical procedures.

At the same time, logistics and supply chain management may benefit from the use of machine learning and predictive analytics. AI can aid businesses in predicting customer demand through data analytics which can facilitate more effective warehouse management.

Leading the digital future at MMU

The Bachelor of Computer Science (Hons.) Artificial Intelligence at Multimedia University (MMU) comes with compulsory modules such as Programming Language Concept and Natural Language Processing. These up-to-date subjects benefit the students in keeping up with the fast-growing programming languages. 

Students are also made aware of the importance of lifelong learning in the field of AI. MMU’s industry-driven curriculum is structured in a way that equips students with skills to tackle important and complicated real-world issues and future-proof their profession.

MMU is equipped with world-class research and teaching facilities such as the SMART and Innov8 labs. Students at MMU also have access to a variety of additional resources designed to advance their academic and professional development. The iCadet programme, alumni-led Permata Dunia and various scholarships and financial assistance support students in achieving a successful education and profession.

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