AI Engineering Course
What will I learn?
Carry your tech career go up with our AI Engineering Course. E don design for tech people wey dey ready to sabi AI well well. Enter inside model evaluation techniques like Recall, F1-Score, and cross-validation. Make your skills for proper documentation strong and check out machine learning algorithms wey dey predict churn, including decision trees and logistic regression. Get strong head for data exploration, feature encoding, and how to make model better. Join us make we change data to something wey fit work and bring new ideas for your work.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master model evaluation: Make accuracy better with Recall, F1-Score, and Precision.
Document effectively: Talk why you do am and explain results clear clear.
Predict churn: Use Decision Trees, Random Forests, and Logistic Regression.
Prepare data: Do exploratory analysis and handle data wey dey miss well.
Optimize models: Put ensemble methods inside and fine-tune hyperparameters.
Suggested overview
Workload: between 4 and 360 hours
Before getting started, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You'll be able to create more chapters like the examples below
This is a free course, focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.