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AI Specialist Course
Boost your career with our AI Specialist Course (Kenyan Edition), crafted for tech professionals keen to grasp the key aspects of artificial intelligence. Dig deep into data collection and preparation, learn how to tackle missing data, and apply normalization methods. Become a pro in model evaluation metrics like MAE and R-squared, and sharpen your skills in model training and hyperparameter tuning using Scikit-Learn. Explore machine learning algorithms such as decision trees and random forests, and boost your documentation and reporting skills. Join us and level up your AI game today!
- Master data collection: Spot and prep relevant datasets like a pro.
- Optimize models: Train and tune models using Scikit-Learn techniques, hakikisha ziko poa.
- Evaluate performance: Analyze models with MAE, R-squared, and MSE metrics, to know kama zinafanya kazi vizuri.
- Implement algorithms: Apply decision trees, linear regression, and random forests, ukiwa na uhakika.
- Document insights: Create detailed technical reports and presentations, explaining kila kitu vizuri.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Boost your career with our AI Specialist Course (Kenyan Edition), crafted for tech professionals keen to grasp the key aspects of artificial intelligence. Dig deep into data collection and preparation, learn how to tackle missing data, and apply normalization methods. Become a pro in model evaluation metrics like MAE and R-squared, and sharpen your skills in model training and hyperparameter tuning using Scikit-Learn. Explore machine learning algorithms such as decision trees and random forests, and boost your documentation and reporting skills. Join us and level up your AI game today!
Elevify advantages
Develop skills
- Master data collection: Spot and prep relevant datasets like a pro.
- Optimize models: Train and tune models using Scikit-Learn techniques, hakikisha ziko poa.
- Evaluate performance: Analyze models with MAE, R-squared, and MSE metrics, to know kama zinafanya kazi vizuri.
- Implement algorithms: Apply decision trees, linear regression, and random forests, ukiwa na uhakika.
- Document insights: Create detailed technical reports and presentations, explaining kila kitu vizuri.
Suggested summary
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