FAANG Interview Prep Course
What will I learn?
Ithute go gaisa mo dipotsolotsong tsa FAANG ka kooso ya rona e e feletseng e e diretsweng batho ba ba itseng ka tsa thuto. Ithute ka bothakga go tlhama ditsela tsa go rarabolola mathata (algorithm design), go akaretsa dynamic programming le greedy algorithms, fa o ntse o nonotsha bokgoni jwa go rarabolola mathata jo bo jaaka recursion le backtracking. Tokafatsa bokgoni jwa gago jwa go buisana ka tsa botegeniki, ithute go dirisa lebokoso le lesweu (whiteboard) ka botlalo, mme o kgone go araba dipotso tsa dipotsolotso ka tshepho. Nna le bokgoni mo go tsa data structures, mekgwa ya go kwala dikoute, le mekgwa ya go leka go tlhomamisa gore o atlega mo dipotsolotsong tse di bokete.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go tlhama ditsela tsa go rarabolola mathata (algorithm design): Tokafatsa go rarabolola mathata ka dynamic le greedy strategies.
Bua ka dikoute ka botlalo: Nna setswerere mo go diriseng lebokoso le lesweu (whiteboard) le go tlhalosa dikoute.
Tokafatsa mekgwa ya go kwala dikoute: Tokafatsa bokgoni jwa go baakanya diphoso (debugging), go balega ga dikoute, le go kwala ditlhaloso.
Sekaseka data structures: Tlhaloganya linked lists, ditlhare (trees), digarafo (graphs), di-array, le di-string.
Netefatsa ka go leka: Dira diteko tsa edge case, unit, le performance ka bonako.
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.