Artificial intelligence (AI) has the potential to produce some of the century’s most significant and revolutionary advancements. Self-driving cars, robotic assistants, and automated disease detection are all examples of the AI revolution that is reshaping our lives and work. There are endless chances for individuals who wish to work on the cutting edge of AI research and development, with demand for talented engineers more than doubling in the last few years.
While occupations building and improving AI applications are on the rise, some observers believe these efforts will have a significant impact on economic activity. This is because AI systems can handle massive volumes of data, while humans — potentially millions of individuals in today’s employment market — are incapable of doing so.
Regardless of what the new AI economy implies for the future workforce, college students and young professionals will profit from being involved in this rapidly growing industry. Learning computer science or having a college diploma isn’t enough to break into artificial intelligence. To create a career in AI, you’ll need initiative, bravery, and know-how. In fact, more than half of senior AI executives say there is a skills gap in the recruitment of new scientists, describing it as a “talent crisis.”
Getting an AI Education: You’ll Need Intelligence
Although AI has a steep learning curve, the benefits of pursuing a career in AI greatly outweigh the time and effort required. A bachelor’s degree in computer science or a related discipline, such as mathematics, is usually required to succeed in the field. A master’s or Ph.D. may be required for more senior positions, while leading businesses like Apple and Google no longer require a college diploma. Regardless, your chances of success will be largely determined by variables other than a formal education.
Any student trying to break into an emerging industry, including AI, should have curiosity, confidence, and perseverance. AI is still in its infancy, therefore you may have to forge your own path and get creative, unlike other occupations where a path has been carved out over decades.
There is no standard degree or programme for artificial intelligence Malaysia. Some colleges may not provide a set of courses for an AI major or concentration, while those with specialised AI programmes may take a different approach to the subject.
Malaysian Artificial Intelligence Course
The Artificial Intelligence course in Malaysia teaches students how to combine sophisticated mathematics, computer science, and engineering to design systems and machines, such as robots and drones, that can solve issues that would otherwise require natural intelligence. Students who earn a bachelor’s degree in Artificial Intelligence from Malaysia University improve their coding, critical thinking, and analysing skills.
Duration Artificial Intelligence Course in Malaysia
Artificial Intelligence takes three years to study at a Malaysian university.
International students interested in studying AI in Malaysia must meet the following requirements:
- Students must earn a foreign academic qualification that is equivalent to a Malaysian academic qualification.
- STPM/A-Level and International Baccalaureate (IB) or comparable qualifications.
- IELTS 5.0/CEFR B1 or equivalent with TOEFL PBT (410-413) or TOEFL IBT (34) or CAE (160) (Cambridge English: Advance)/CEFR B2 or CPE (180) (Cambridge English: Proficiency)/CEFR C1 or PTE (Pearson Test of English) (36) or MUET (Malaysian University English Test) Band 3 or PTE (Pearson Test of English) (36) or
Cost of studying Artificial Intelligence in Malaysia
The cost will vary from university to university, but on average, it will cost around RM 23,460 each year.
Following are some of the employment opportunities available in Malaysia after graduating Artificial Intelligence:
- Data Scientist, Programmer
- Machine Learning Engineer
- System Engineer
- Software Engineer
- R&D Engineer
Artificial Intelligence Jobs in High Demand
While the job market is promising, it is up to students and professionals to chart their own career paths and obtain the essential skills and expertise. Your personal initiative in learning essential AI subjects and networking with the right individuals will play a role in your success. Internship and job possibilities will almost certainly follow.
Not just the traditional suspects, such as Google, Amazon, and Apple, but also a slew of new artificial intelligence businesses focusing in niche industries, are hiring in AI. When you’re ready to start applying for jobs, there are a few options:
LinkedIn is an excellent resource for connecting with AI thought leaders and learning more about their viewpoints. Following industry leaders will give you a good idea of where you might find new employment prospects. If your university doesn’t have a dedicated AI track, you might discover AI included in other tech or computer science activities.
Examining specific job posts on LinkedIn can give you an idea of the types of roles that are available and the abilities that are necessary. Given the wide range of languages, tools, and frameworks required for artificial intelligence jobs, this is extremely critical. While not exhaustive, the following are some examples of abilities. They can assist candidates in checking all of the boxes in a job description.
- Programming Languages: Python, Java, C/C++, SQL, R, Scala, Perl
- Machine Learning Frameworks: TensorFlow, Theano, Caffe, PyTorch, Keras, MXNET
- Cloud Platforms: AWS, Azure, GCP
- Workflow Management Systems: Airflow, Luigi, Pinball
- Big Data Tools: Spark, HBase, Kafka, HDFS, Hive, Hadoop, MapReduce, Pig
- Natural Language Processing Tools: spaCy, NLTK
Starting personal projects is an excellent way to put these talents to the test — and to learn new ones. It would be impossible to establish your expertise and interest in AI without a machine learning portfolio on GitHub to show potential employers, for example. You may develop your skills by participating in a variety of hackathons, coding challenges, robotics competitions, and open source projects.
Don’t get disheartened if these requirements appear intimidating at first. Artificial intelligence is a mansion with many rooms, and developing the experience and specialities required to succeed might take time and patience. More than anything, future employment will necessitate a desire to be curious and take risks.
This article is posted on Article Mug.