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AI Specialist Course
Advance your career trajectory with our AI Specialist Course (Bharat), crafted for tech professionals keen on mastering the fundamentals of Artificial Intelligence. Delve deep into data collection and preparation methodologies, learn how to manage missing data effectively, and implement normalisation techniques. Acquire expertise in model evaluation metrics such as MAE and R-squared, and hone your skills in model training and hyperparameter tuning utilising Scikit-Learn. Explore machine learning algorithms including decision trees and random forests, and enhance your documentation and reporting capabilities. Enrol now to revolutionise your AI expertise!
- Master data collection: Identify and prepare pertinent datasets with efficiency.
- Optimise models: Train and fine-tune models employing Scikit-Learn techniques.
- Evaluate performance: Analyse models utilising MAE, R-squared, and MSE metrics.
- Implement algorithms: Apply decision trees, linear regression, and random forests in practical scenarios.
- Document insights: Develop thorough technical reports and presentations suitable for diverse audiences.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Advance your career trajectory with our AI Specialist Course (Bharat), crafted for tech professionals keen on mastering the fundamentals of Artificial Intelligence. Delve deep into data collection and preparation methodologies, learn how to manage missing data effectively, and implement normalisation techniques. Acquire expertise in model evaluation metrics such as MAE and R-squared, and hone your skills in model training and hyperparameter tuning utilising Scikit-Learn. Explore machine learning algorithms including decision trees and random forests, and enhance your documentation and reporting capabilities. Enrol now to revolutionise your AI expertise!
Elevify advantages
Develop skills
- Master data collection: Identify and prepare pertinent datasets with efficiency.
- Optimise models: Train and fine-tune models employing Scikit-Learn techniques.
- Evaluate performance: Analyse models utilising MAE, R-squared, and MSE metrics.
- Implement algorithms: Apply decision trees, linear regression, and random forests in practical scenarios.
- Document insights: Develop thorough technical reports and presentations suitable for diverse audiences.
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