Machine Learning and AI Algorithms

This pathway explores the fundamentals of Machine Learning (ML) and AI Algorithms, equipping learners with the knowledge to understand how these technologies drive innovation. By analysing real-world applications, learners will grasp how ML models enhance automation, optimise decision-making, and power intelligent systems across industries such as healthcare, finance, cybersecurity, and E-commerce.

After completing this pathway, you will be able to:

1. Explain key Machine Learning concepts and AI Algorithms
2. Identify the role of supervised, unsupervised, and reinforcement learning in AI applications
3. Explore deep learning techniques and neural networks in image and speech recognition
4. Analyse real-world use cases of AI in various industries
5. Recognise the ethical considerations and future impact of AI-driven decision-making