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AI Specialist Course
Boost your career with our AI Specialist Course (Zambian Edition), tailored for tech professionals keen to get a proper grasp of artificial intelligence basics. You'll learn how to collect and prepare data, handle missing bits of information, and use normalization methods. Become skilled in using model evaluation measures like MAE and R-squared, and get good at training models and fine-tuning them using Scikit-Learn. Explore machine learning algorithms like decision trees and random forests, and get better at writing reports and documenting your work. Come join us and improve your AI skills today!
- Get good at data collection: Learn how to find and prepare the right datasets properly.
- Make models better: Train and fine-tune models using Scikit-Learn.
- Check how well models are doing: Analyze models using MAE, R-squared, and MSE measures.
- Use algorithms properly: Apply decision trees, linear regression, and random forests practically.
- Write down what you've learned: Create detailed technical reports and presentations.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your career with our AI Specialist Course (Zambian Edition), tailored for tech professionals keen to get a proper grasp of artificial intelligence basics. You'll learn how to collect and prepare data, handle missing bits of information, and use normalization methods. Become skilled in using model evaluation measures like MAE and R-squared, and get good at training models and fine-tuning them using Scikit-Learn. Explore machine learning algorithms like decision trees and random forests, and get better at writing reports and documenting your work. Come join us and improve your AI skills today!
Elevify advantages
Develop skills
- Get good at data collection: Learn how to find and prepare the right datasets properly.
- Make models better: Train and fine-tune models using Scikit-Learn.
- Check how well models are doing: Analyze models using MAE, R-squared, and MSE measures.
- Use algorithms properly: Apply decision trees, linear regression, and random forests practically.
- Write down what you've learned: Create detailed technical reports and presentations.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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