Artificial intelligence (AI) is a project that aims to create systems with human-like cognitive abilities, such as the ability to argue, learn, comprehend, and improve performance through experience. The industry is working to enhance technology in order to programme its intelligence to reach new heights in terms of enabling human flexibility and daily knowledge.

The goal of Artificial Intelligence is to educate, analyse, and discern the data that is received. It is widely and frequently used in numerous areas, particularly in banking and healthcare. As a result, we can define Artificial Intelligence as the simulation of human intelligence in robots. Computer science, natural language processing, Python code, mathematics, psychology, neurology, data science, machine learning, and many other areas fall under the umbrella of artificial intelligence. These courses are designed to help students master artificial intelligence and its business applications. Students will also learn about supervised and unsupervised learning, mathematical and heuristic components, and hands-on modelling to design algorithms and prepare them for careers in the AI business.

Study Level:

Artificial intelligence courses are available at various levels of study. They are as follows:

• Advanced Diploma in Artificial Intelligence
• Bachelor in Applied Computer Science
• Bachelor in Artificial Intelligence
• Bachelor in Computer Science
• Bachelor in Computer Systems
• Bachelor in Computer Systems Engineering
• Bachelor in Electronics and ICT
• Bachelor in Games Computing
• Bachelor in Management
• Bachelor in Mechatronics and Robotics
• Bachelor in Robotics and Automation
• Bachelor of Business Administration
• Bachelor of Engineering
• Bachelor of Games and Interactive Design
• Bachelor of Information Technology
• Bachelor of Science
• Diploma in Artificial Intelligence
• Graduate Diploma in Artificial Intelligence
• Master in Applied Computer Science
• Master in Artificial Intelligence
• Master in Computer Science
• Master in Computer Systems
• Master in Computer Systems Engineering
• Master in Electronics and ICT
• Master in Games Computing
• Master in Management
• Master in Mechatronics and Robotics
• Master in Robotics and Automation
• Master of Business Administration
• Master of Engineering
• Master of Games and Interactive Design
• Master of Science
• Mater of Information Technology
• Postgraduate Diploma in Artificial Intelligence

Specialisation:

The following modules are generally expected from this sub-discipline:

• 3D modeling
• Activation functions
• Advanced Object-Oriented Programming in C++
• AI benefits and challenges
• AI types
• Applied mechanics
• Artificial Intelligence for Simulation
• C++ programming
• Common AI functional designs
• Common AI learning approaches and algorithms
• Common AI system design principles and common AI project best practices
• Computer ethics
• Computer law & Cyber Security
• Computer networks
• Computer systems
• Computer vision, pattern recognition
• Computing project
• Deep convolutional network, Extreme learning machine, Deep residual network
• Embedded systems
• Frictionless integration, fault tolerance model integration
• Fundamental and specialized neural network architectures
• Fuzzy logic and knowledge-based systems
• Heuristic learning, semi-supervised learning, reinforcement learning
• Introduction to Computational Intelligence and Control Systems
• Machine learning
• Mobile robotics
• Object-Oriented Programming in C++
• Optimization and genetic algorithms
• Robotics, natural language processing
• Support-vector machines
• Understanding AI models and training models and neural networks
• Understanding natural language
• Visual perception

Employability:

Artificial Intelligence has altered the modern world in ways we could never have foreseen. It has enabled users to interact with smart gadgets, making a variety of tasks accessible and simple to do. This research and the industry hope to have a positive impact on user experiences. It has also produced a plethora of work options for graduates to explore the breadth of this field's variety. Some job opportunities in India from this topic of study include:

• Artificial Intelligence Engineer
• Machine Learning Engineer
• Data Engineer
• Robotics Engineer
• Software Engineer
• Data Scientist
• AI Research Scientist
• AI Ethicist
• UX Designer
• Business Intelligence Developer
• Software Architect
• AI Data Analyst
• Natural Language Processing (NLP) Engineers
• AI Product Manager
• Data Mining
• AI Developer
• Robotics Process Automation (RPA) Specialists
• Solutions Architect
• Computer Vision Engineer

This field of study offers the following job opportunities abroad:

• AI Data Analyst
• AI Engineer
• AI Marketing Manager

• AI Researcher
• Big Data Engineer
• Business Intelligence Developer
• Data Mining Analyst
• Data Scientist
• Information Manager
• Machine Learning Engineer
• Machine Learning Researcher
• Military AI Specialist
• Natural Language Processor
• Product Manager
• Research Scientist
• Robotics Programmer
• Robotics Scientist
• Software Engineer
• User Experience Specialist
• Video Game Programmer