Artificial intelligence (AI) is a rapidly advancing field filtering its way through various facets of human life, such as smartphone usage, social media platforms, self-driving cars and virtual assistance. This widespread integration of AI has several implementations, creating multiple job opportunities. Those willing to explore the abilities of artificial intelligence can sign up for a range of online courses tailored to hone their skills and specialise in a particular avenue of this rapidly evolving technology.

Short online courses
One could take popular online courses to gain insights into artificial intelligence and its subsets.

Machine learning
Thanks to the progress in AI technology and machine learning, computers have also evolved to a larger extent, serving businesses across different sectors. These innovations have paved the way for the development of computer systems capable of autonomous improvement, with wide-ranging applications in areas such as robotic control, autonomous navigation and data mining. This is where the machine learning specialisation comes into play. Consisting of three comprehensive courses , this specialisation provides an in-depth introduction to modern machine learning and the latest techniques driving innovation in AI and machine learning. The course can be completed in approximately two months, offers a flexible schedule and allows for free enrollment during a specific period.

Deep learning
Deep learning specialisation is a foundational program that helps individuals understand the capabilities, challenges and consequences of deep learning. For instance, students will learn to build and train neural network architecture like Recurrent Neural Networks, Convolutional Neural Networks, Transformers and LSTMs and how to improve them with strategies like Dropout and BatchNorm. The course further teaches one how to use strategies to reduce errors in ML systems, understand complex ML settings, and apply end-to-end, transfer and multi-task learning. While enrollment is free, the five-course series is recommended for learners on an intermediate level. The Deep Learning coursework should take about three months to complete.

AI language technology in the workplace
This short course offers a solid understanding of the applications of language technology across all aspects of the modern workplace, such as transparency, responsibility and fairness in the respective technology. Other courses include Language Technology All Around Us, Language Technology in Education and Designing and Evaluating Language Technology in Education. Towards the end of the course, one learns different aspects, including formulating a definition of language technology, the ability to describe the major historical, social, political and economic issues in language technology and identifying key features of risks in language technology projects.

Introduction to ChatGPT
With ChatGPT becoming a modern household, it’s a no-brainer why one should consider learning more about it. Introduction to ChatGPT teaches one how to use the technology effectively in regular, professional life. Some courses include lead generation, data analytics, sales and marketing, HR management, content creation and market research. The program is ideal for those who want to offer new services to clients or a business owner hoping to improve customer engagement.

Masters programmes
In addition to the online courses, one can also check out master’s programs for Artificial Intelligence.

Artificial Intelligence MSc
The hands-on AI program focuses on advanced nature-based AI technology, known as Deep Learning, based on neural networks and applications. Through the course, one will learn to use modern-day AI to solve modern problems, which will help one enhance their career and knowledge across industrial sectors and scientific programs. To qualify for the course, one has to have a bachelor’s degree with honours in computer science, mathematics, computational neuroscience, computer engineering, or natural sciences. One will also need to be skilled in Python and have exceptional imagination and creative skills. The Master of Science is a full-time, 12-month program with eight modules (plus a dissertation).

Machine learning and data science
The 24-month online postgraduate course is designed to help develop an in-depth understanding of machine learning models and how to apply them to real-world business hiccups. Through hands-on projects, one will build a portfolio across segments, from probabilistic modelling and deep learning to unstructured data processing and anomaly detection. One may also enhance analytical abilities in mathematics and statistics and gain expertise in tackling complex data using industry-standard tools. Machine learning also has ethics and limitations, which are part of this program. The minimum academic requirement for machine learning and data science is an upper second-class honours in engineering, mathematics, statistics, physics, or computer science.

Artificial intelligence for the creative industries
Individuals pursuing a career in the creative industry may want to look into this master’s program. It combines creativity and technical expertise to equip one with the fundamental knowledge and skills around AI, with a focus on machine learning and artificial neural networks. One would need to work on case studies and experts in the field and apply their knowledge to understand and resolve practical AI-related problems. The academic requirement for the program is an Upper Second-Class Honours degree. A few courses in this master’s program include AI and its applications in creative practice, ethics of AI in creative practice, esports, mobile interaction and the future of story: storytelling in the digital age.

Robotics and autonomous systems
This master’s program helps one learn the skills and techniques required to develop robotics, embedded artificial intelligence and autonomous systems. It also packages a three-month placement degree. The program structure includes robotics software, robotic platform engineering, humans and intelligent machines and project units. The coursework balances advanced theory with technical skills to help one learn how to develop complete operational robots and autonomous systems. The studies typically focus on tackling engineering complications with whole-system approaches. One would require a first-class GPA to be eligible for the program.