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Artificial Intelligence Engineer Course
Boost your career prospects with our Artificial Intelligence Engineer Training Programme, designed for tech people who dey keen to master AI. You go delve deep into how to train and evaluate AI models, explore data preprocessing well-well, and understand regression models. Learn how to identify data wey e lost, detect outliers, and fine-tune hyperparameters. Gain proper knowledge for model evaluation metrics like MAE and MSE, and improve your skills for documenting and reporting. This concise, high-quality training programme go give you practical AI knowledge to succeed for inside the tech industry.
- Master cross-validation so you fit evaluate your model strong-strong.
- Conduct exploratory data analysis so you fit see the inside story of the data.
- Implement regression models so your prediction go dey accurate.
- Optimize models with hyperparameter tuning techniques, to mek dem work fine.
- Document and report how you preprocess the data properly.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your career prospects with our Artificial Intelligence Engineer Training Programme, designed for tech people who dey keen to master AI. You go delve deep into how to train and evaluate AI models, explore data preprocessing well-well, and understand regression models. Learn how to identify data wey e lost, detect outliers, and fine-tune hyperparameters. Gain proper knowledge for model evaluation metrics like MAE and MSE, and improve your skills for documenting and reporting. This concise, high-quality training programme go give you practical AI knowledge to succeed for inside the tech industry.
Elevify advantages
Develop skills
- Master cross-validation so you fit evaluate your model strong-strong.
- Conduct exploratory data analysis so you fit see the inside story of the data.
- Implement regression models so your prediction go dey accurate.
- Optimize models with hyperparameter tuning techniques, to mek dem work fine.
- Document and report how you preprocess the data properly.
Suggested summary
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