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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First Year

Discrete Mathematics for AI

Discrete Mathematics is the backbone of computer logic and set theory. In this course, you will learn about graphs, trees, and networks—the structures that allow social media platforms and logistics companies in Zambia to map out connections and routes efficiently. It provides the essential vocabulary for discussing how algorithms work. …

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First Year

Foundational Algorithms and Data Structures

Data Structures are the building blocks of any software, determining how information is stored and retrieved. In this course, you’ll learn how to organize data efficiently to make programs run faster—a skill that is highly valued by tech companies in Lusaka and beyond. Understanding how to use arrays, stacks, and …

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Third Year

Human-AI Interaction Design

An AI is only useful if humans can actually use it. This course focuses on the design and psychology behind the relationship between people and intelligent systems. You will learn how to create interfaces that are intuitive and build trust, which is crucial for the adoption of AI tools in …

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Second Year

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 …

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First Year

Introduction to Programming (Python and C++)

Learning how to code is like gaining a superpower in today's digital economy. This course introduces you to Python and C++, the primary languages used to build the software and apps we use daily in Zambia. You will move from understanding basic logic to writing scripts that solve real-world problems, …

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Second Year

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 …

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Second Year

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 …

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Third Year

Reinforcement Learning Principles

Reinforcement Learning (RL) is the study of how agents should take actions in an environment to maximize rewards. Think of it like training a digital pet or a robot through trial and error. This is the technology behind game-playing AI and automated trading systems. In Zambia, RL can be applied …

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Fourth Year

Robotics and Autonomous Systems AI

In your final year, you will explore the physical side of AI through robotics and autonomous systems. This course teaches you how to integrate AI software with hardware to create machines that can navigate environments and perform tasks without human intervention. From drones used in Zambian wildlife conservation to automated …

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