AI Engineering Course
What will I learn?
Elevate your tech career with our AI Engineering Course, designed for technology professionals keen to master AI. Dive into model evaluation techniques like Recall, F1-Score, and cross-validation. Enhance your skills in effective documentation and explore machine learning algorithms for churn prediction, including decision trees and logistic regression. Gain expertise in data exploration, feature encoding, and model optimisation strategies. Join us to transform data into actionable insights and drive innovation in your field.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master model evaluation: Enhance accuracy with Recall, F1-Score, and Precision.
Document effectively: Justify decisions and interpret results with clarity.
Predict churn: Utilise Decision Trees, Random Forests, and Logistic Regression.
Prepare data: Conduct exploratory analysis and handle missing data efficiently.
Optimise models: Implement ensemble methods and fine-tune hyperparameters.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.