Artificial Intelligence and Machine Learning

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About Course

This lesson will introduce students to AI as the field of computer science focused on creating systems that can perform tasks that typically require human intelligence, such as problem-solving, speech recognition, and decision-making.

What Will You Learn?

  • The course teaches real-world applications of machine learning, allowing learners to tackle challenges relevant to Kenyan industries. For instance, applying classification algorithms to predict credit risk in Kenya’s growing fintech sector, or using regression techniques to model energy consumption for better infrastructure planning.

Course Content

rtificial Intelligence and Machine Learning: From Fundamentals to Applications
This comprehensive course provides a deep dive into the world of Artificial Intelligence (AI) and Machine Learning (ML), designed for beginners and intermediate learners interested in mastering the fundamentals and applications of these transformative technologies.

  • Lesson 1: What is Artificial Intelligence?
  • Lesson 2: Types of Machine Learning
  • Lesson 3: Neural Networks and Deep Learning

Topic 2: Machine Learning in AI
Machine learning (ML) plays a central role in the development of artificial intelligence (AI). AI systems use machine learning algorithms to enable computers to learn from data, adapt over time, and make predictions or decisions. In this topic, we will dive into the core concepts of machine learning, focusing on its three primary categories: supervised learning, unsupervised learning, and reinforcement learning.

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