ML Ops Course
What will I learn?
Bula bokgoni jwa machine learning mo botlhalefing jwa kgwebo ka Kgoso ya rona ya ML Ops. Ithute ka botlalo ka tshekatsheko ya maduo, o ithute bokgoni, nepagano le go gakologelwa. Oketsa bokgoni jwa gago mo go tokafatseng ditsela tsa machine learning ka mekgwa e e siameng, go itirisa ditiro le mekgwa ya go godisa bokgoni. Nna le bokgoni mo go tlhaloganyeng data, go dira diphetogo mo data le go tlhopha mofuta o o siameng. Fenya dikgwetlho tsa go tsenya tirisong mme o excel mo go kwalong ditokomane le go bega. Tsholetsa tiro ya gago ka thuto e e mosola, e e kwa godimo le e e sobokanyeditsweng e e diretsweng batho ba BI.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute bokgoni, nepagano le go gakologelwa go bona dintlha tsa botlhokwa mo data.
Tokafatsa ditsela tsa ML go bona maduo a a kwa godimo le go godisa bokgoni.
Dira tshekatsheko ya data e e tseneletseng go tlhopha diphetogo tse di botoka.
Tsenya tirisong didirisiwa tsa go itirisa ditiro go tlhofofatsa ditsela tsa ML.
Kwala ditokomane le go bega diphitlhelelo ka ditshwantsho tse di bonalang sentle.
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.