Programme information
Learn how machine learning and artificial intelligence go hand in hand
Develop fundamental knowledge of the significance of machine learning within artificial intelligence and explore contemporary machine learning algorithms, focusing on practical applications to understand how to structure data into models for creation and use. This course strongly emphasises understanding the necessary components when working with data and information to develop, including software libraries, regression, classification, mixture models, neural networks, deep learning, ensemble methods, and reinforcement learning. Additionally, you will gain an understanding of machine learning techniques and how they can be applied to various processes and real-world solutions.
Develop your skills, knowledge
and abilities in:
- Analysing the stages and steps of machine learning, its components, and how it is essential for overall artificial intelligence.
- Reviewing algorithms for user data patterns, predictions and other concepts needed to solve business problems.
- Examining how to choose machine learning algorithms by understanding application design and implementation requirements.
- Creating a solution using machine learning tools, algorithms, components, and data to make recommendations by training a model.
- Using algorithms for business optimisation through data model training, trend analysis, and implementation planning.
And cultivate the professional competencies to work in a high-demand field
- Computer Engineer
- Cyber Security Analyst
- Data Scientist
- Data Scientist
- Machine Learning Engineer
- Machine Learning Scientist
- Natural Language Processing Scientist
- Robotics Engineer
- Software Developer
- Software Engineer
- Software Programmer
