AI Engineering Course
What will I learn?
Take your tech career higher with our AI Engineering Course, yaffe. It's made for tech experts who are serious about mastering AI. You'll go deep into model evaluation using things like Recall, F1-Score, and cross-validation. Sharpen your skills at proper documentation and check out machine learning algorithms for figuring out churn (when customers leave), including decision trees and logistic regression. Become a proper expert in data exploration, feature encoding, and ways to optimize your models. Join us and change data into proper insights and make new things happen in your work, mazima!
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master model evaluation: Improve your accuracy with Recall, F1-Score, and Precision, surely.
Document effectively: Explain your choices well and understand the results clearly.
Predict churn: Use Decision Trees, Random Forests, and Logistic Regression to see who is going to chaka.
Prepare data: Do proper exploratory analysis and handle missing data well.
Optimize models: Put ensemble methods in place and fine-tune your hyperparameters properly.
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.