Applied ai Course
What will I learn?
Notlollela bokgoni jwa AI mo botlhalefing jwa kgwebo ka Khoso ya rona ya Tiriso ya AI. Ithute ka botlalo mekgwa ya go kokoanya data, o netefatse tshireletsego ya data le maitshwaro a a siameng, mme o tlhatlhobe metswedi e megolo ya data. Nna setswerere mo go tlhopheng mefuta ya AI, go tloga ka ditlhare tsa ditshwetso go ya go neural networks, go bona ponelopele e e nepagetseng. Tokafatsa bokgoni jwa gago mo go sekasekeng, go thapiseng, le go tokafatseng mefuta, fa o ntse o ithuta go samagana le data e e tlogetsweng le go tlhama ditshwantsho tse di nang le tlhotlheletso. Godisa tiro ya gago ka dintlha tse di mosola, tsa maemo a a kwa godimo tse di diretsweng bomankge ba BI.
Develop skills
Enhance the development of the practical skills listed below
Nna setswerere sa tshireletsego ya data: Netefatsa go kokoanya le tiriso ya data ka maitshwaro a a siameng.
Tlhopha mefuta ya AI: Tlhopha mefuta e e siameng go bona ponelopele e e nepagetseng.
Sekaseka mefuta: Dirisa metara jaaka MAE le RMSE go sekaseka mefuta.
Tokafatsa mefuta: Baakanya di-hyperparameter go tokafatsa maduo.
Bontsha data ka ditshwantsho: Tlhamela ditshwantsho tse di nang le tlhotlheletso go bona dintlha tse di utlwalang.
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’ll 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.