Learn to use AI tools like ChatGPT, Claude, and Gemini to think critically, solve problems, and communicate effectively.
This course teaches you how to use AI tools like ChatGPT, Claude, and Gemini to think more critically, reason more effectively, and communicate with confidence. Designed for students and professionals across industries, it helps you work with AI as a strategic thinking partner, create effective prompts, evaluate outputs, and deliver AI-powered insights through a practical capstone project.
An AI Professional uses AI tools and technologies to solve problems, improve decision-making, automate tasks, and create innovative solutions. They apply AI to research, analysis, communication, and business processes across different industries
This program is ideal for individuals who:
AI is changing the way we work. The advantage isn’t just knowing how to use AI; it’s knowing how to use it well.
Source: World Economic Forum, Future of Jobs Report 2025.
To participate successfully in the programme, applicants should have:
You will be placed in small groups to work together as a team and complete academic goals in real-time virtual classrooms and during in-person sessions; which has goals at the individual and group level.
A mentor will be available at all times during office hours to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn.
Our learning methodology focuses 100% on the needs of today’s market. You will work on real-world projects similar to those you’ll find on the job and complete them using the same tools used by professionals.
Submit your application. Share a bit about yourself and what's driving you to start a career in data science.
Complete a short critical thinking and problem-solving assessment. This allows us to assess your aptitude for areas relevant to the program.
Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical - just a friendly conversation.
Receive your acceptance decision from Admissions. This usually happens within 3 business days.
If accepted, you'll begin course pre-work to prepare for the first day of class. Our data courses pre-work consists of 20-40 hours of lessons and labs covering the basics of Python (including loops and functions), statistical measures such as central tendency and dispersion, and building data visualizations using matplotlib and seaborn
** Steps 2 and 3 apply only to applicants seeking a Scholarship-Supported Fellowship. Applicants enrolling in the paid fellowship are not required to complete these steps.
We envision a world where African youths equipped with data and AI skills can solve African problems and propel the continent forward.
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