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An algorithm is a step-by-step set of instructions that a computer follows to solve a problem or complete a task. In AI, algorithms determine how a model learns patterns from data and makes predictions.
Understanding algorithms helps you evaluate which AI approach suits a given problem, and why some models perform better than others for specific tasks.
Google's search engine uses a complex algorithm to rank billions of web pages and return the most relevant results in a fraction of a second.
Model
In AI, a model is the mathematical representation that a machine learning system builds from training data. It captures the patterns, relationships, and rules discovered during training and uses them to make predictions or generate outputs on new data.
Machine Learning (ML)
Machine learning is a subset of AI where systems learn from data and improve their performance over time without being explicitly programmed for every scenario. Instead of following hard-coded rules, ML models identify patterns in data and use them to make predictions or decisions.
Training Data
Training data is the collection of examples used to teach a machine learning model. The model analyses this data to discover patterns and relationships, which it then uses to make predictions or generate outputs on new, unseen data.
Our programme follows a structured Level 4 curriculum with project-based learning, practical workflows, and guided implementation across business and career use cases. Funded route available for UK citizens and ILR holders.