Degree · Computer Science and Information Systems
Artificial Intelligence (AI) and Machine Learning(Degree)
Explore the world of AI algorithms and machine learning models. Our quizzes challenge you to understand neural networks, data analysis, and predictive modeling, equipping you with skills to shape the future of technology.
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Coming soon
Second Year · AI203Coming soon
Database Management Systems for AI
Every AI needs a place to store the massive amounts of information it processes. In Database Management Systems, you will learn how to design, create, and manage relational databases using SQL. Whether it is managing student records in Zambian universities or inventory for a large Copperbelt mine, the ability to handle data securely and efficiently is a core industry requirement. This course bridges the gap between raw data and actionable intelligence. To ensure you can write perfect queries and pass your database administrator exams, visit 25schools for comprehensive study guides and real-world database practice scenarios.
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Coming soon
Second Year · AI204Coming soon
Deep Artificial Neural Networks
Inspired by the human brain, Neural Networks are the engines that power modern AI like ChatGPT and image recognition software. This course introduces you to how 'neurons' in a computer system process information in layers to recognize patterns. Learning this allows you to build systems that can 'see' or 'hear'—skills that are opening up new career paths in Zambia’s digital health and security sectors. It is one of the most exciting parts of the degree but requires a solid understanding of how weights and biases work. For a breakdown of these complex structures and help with your revision, check out the resources at 25schools to stay on track.
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Coming soon
Second Year · AI202Coming soon
Introduction to Machine Learning Systems
Machine Learning is where computers begin to learn from experience rather than just following fixed instructions. In this course, you will explore how to train models that can predict trends, such as agricultural yields in rural Zambia or consumer behavior in Lusaka's retail sector. You will dive into supervised and unsupervised learning, understanding how to clean data and choose the right algorithms for specific tasks. This skill set is highly sought after by local startups and NGOs looking to leverage data for social impact. To help you master these complex algorithms and prepare for your mid-term assessments, check out the resources available at 25schools, Zambia's preferred platform for student exam readiness.
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Coming soon
Second Year · AI205Coming soon
Optimization Techniques for AI
Optimization is about finding the best possible solution to a problem with limited resources. In the context of AI, it’s about making models more accurate while using less computing power. This is particularly relevant in Zambia, where high-performance hardware can be expensive, and efficient code is a necessity. You will learn mathematical techniques to minimize errors in your AI predictions. These skills are highly transferable to logistics and supply chain management. If you are finding the calculus of optimization a bit tricky, head over to 25schools where you can find step-by-step guides and practice exams to help you master the material before finals.
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Coming soon
Second Year · AI201Coming soon
Probability and Statistics for Machine Learning
Artificial Intelligence is largely about managing uncertainty, and that is where probability comes in. This course teaches you how to use statistical methods to predict outcomes, which is essential for things like weather forecasting for Zambian farmers or predicting stock market trends. You will learn how to interpret data distributions and significance levels, which are the tools used to validate AI models. Understanding the 'why' behind the data is what makes you a professional analyst. If you need help calculating variances or understanding Bayesian theory for your next test, 25schools offers a wealth of practice problems and tutorial support to get you ready.