Mode of Learning -Online
Learning Duration:8 weeks (120hrs)
Application: Ongoing
Payment Details: To cover tuition and training materials only.
Fee Structure
Application Fee– Kes 1,000
Tuition and Training Fees– Kes 4,500
COURSE OVERVIEW
This course is designed for complete beginners with no prior experience in AI, ML, or programming. It introduces the core concepts of AI and ML through simple explanations and hands-on practice using tools like Google Colab and Jupyter Notebooks. The goal is to build confidence and provide a solid foundation for further learning.
WHO SHOULD ATTEND?
- Beginners with no technical background
- Participants new to AI and ML
- Professionals looking to understand AI basics
HOW PARTICIPANTS WILL BENEFIT
By the end of this course, participants should be able to:
- Comprehend the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML), including their key types and practical applications within public sector contexts.
- Develop and execute basic Python programs using platforms such as Jupyter Notebooks and Google Colab.
- Manage data through essential tasks such as cleaning, formatting, and visualization of public sector datasets.
- Build and interpret simple supervised learning models—such as classification and regression—using the Scikit-learn library.
- Apply unsupervised learning techniques, including clustering, to uncover patterns and insights in public program data.
- Design and evaluate basic neural network models using beginner-friendly frameworks like TensorFlow or Keras.
- Analyze ethical considerations and emerging trends in AI, with a focus on issues such as bias, data privacy, and technology-driven governance.