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AI Specialist Course
Boost your career with our AI Specialist Course, crafted for tech professionals keen to get a strong grip on the fundamentals of artificial intelligence. Delve deep into data collection and preparation, learn to manage missing data effectively, and use normalisation techniques. Develop expertise in model evaluation metrics like MAE and R-squared, and polish your skills in model training and hyperparameter tuning with Scikit-Learn. Explore machine learning algorithms such as decision trees and random forests, and improve your documentation and reporting skills. Join us to level up your AI skills today!
- Become proficient in data collection: Identify and prepare relevant datasets effectively.
- Optimise models: Train and fine-tune models using Scikit-Learn techniques.
- Evaluate performance: Analyse models using MAE, R-squared, and MSE metrics.
- Implement algorithms: Apply decision trees, linear regression, and random forests.
- Document insights: Develop detailed technical reports and presentations.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Boost your career with our AI Specialist Course, crafted for tech professionals keen to get a strong grip on the fundamentals of artificial intelligence. Delve deep into data collection and preparation, learn to manage missing data effectively, and use normalisation techniques. Develop expertise in model evaluation metrics like MAE and R-squared, and polish your skills in model training and hyperparameter tuning with Scikit-Learn. Explore machine learning algorithms such as decision trees and random forests, and improve your documentation and reporting skills. Join us to level up your AI skills today!
Elevify advantages
Develop skills
- Become proficient in data collection: Identify and prepare relevant datasets effectively.
- Optimise models: Train and fine-tune models using Scikit-Learn techniques.
- Evaluate performance: Analyse models using MAE, R-squared, and MSE metrics.
- Implement algorithms: Apply decision trees, linear regression, and random forests.
- Document insights: Develop 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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