AI Engineering Course
What will I learn?
Boost your tech career with our AI Engineering Course, specifically crafted for technology professionals keen to excel in AI. Delve into model evaluation techniques such as Recall, F1-Score, and cross-validation. Refine your documentation abilities to a professional standard and explore machine learning algorithms for predicting customer churn, including decision trees and logistic regression. Gain expertise in data exploration, feature encoding, and model optimisation strategies. Join us to convert data into actionable insights and drive innovation in your domain.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Master model evaluation: Improve accuracy using metrics like Recall, F1-Score, and Precision.
Document effectively: Justify decisions and interpret results with clarity and attention to detail.
Predict churn: Employ Decision Trees, Random Forests, and Logistic Regression techniques.
Prepare data: Conduct exploratory data analysis and manage missing data efficiently.
Optimise models: Implement ensemble methods and fine-tune hyperparameters for optimal performance.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.