Facebook sociālo tīklu mārketinga profesionāļa sertifikāts

Facebook sociālo tīklu mārketinga profesionāļa sertifikāts

Facebook sociālo tīklu mārketinga profesionāļa sertifikāts

Sāc veidot savu karjeru sociālo tīklu mārketinga jomā. Iegūsti darbam nepieciešamās  prasmes un zināšanas, lai no iesācēja 5 mēnešu laikā kļūtu par darbam gatavu ekspertu. Kursam nav nepieciešamas priekšzināšanas.

Kurss būs noderīgs ikvienam, kurš plāno strādāt ar sociālo tīklu platformām un vēlas ar to palīdzību palielināt savas uzņēmējdarbības apjomu, atrodot jaunus klientus un sadarbības partnerus.

Šī sešu kursu programma ir veidota kopā ar sociālo tīklu ekspertiem no uzņēmuma Aptly un Facebook komunikācijas profesionāļiem, papildinot mācību materiālu ar ikvienam mārketinga profesionālim nepieciešamjām zināšanām.

Kursa sākumā jūs tiksiet iepazīstināts ar digitālo marketingu un galvenajām sociālo tīklu platformām. Turpinājumā iemācīsieties veidot personīgos un uzņēmuma profilus, rakstīt ziņojumus, veidot ilgtspējīgu komunikāciju un vadīt savus sociālo tīklu profilus. Kursa klausītāji iegūst prasmes veidot un koordinēt mārketinga kampaņas sociālajos tīklos, kā arī novērtēt to rezultātus un plānveidīgi strādāt pie to pilnveides.

Pats svarīgākais, ka paralēli apmācībām kursa ietvaros, jums būs iespēja pašam praktiski strādāt pie jūsu esošajiem projektiem un izmēģināt iegūtās zināšanas praksē. Pēc kurus pabigšanas jūs iegūsiet Coursera un Facebook Digital Marketing Associate sertifikātu, kas būs apliecinājums jūsu zināšanām un iemaņām sociālo tīklu mārketinga jomā.

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7 mēneši

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subtitri – angļu, arābu, franču, portugāļu, itāļu, vjetnamiešu, vācu, krievu un spāņu valodās.

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Each course is intended to take 4-6 weeks, roughly one week per module. At this pace, the entire Specialization will take you 4-6 months to complete.

See the list of prerequisites provided in Module 0 of Course 1. The most important ones are familiarity with linear algebra, calculus, probability theory, and kinematic and dynamic modeling. Some exposure to computer vision, AI or robotics is also useful.

The courses are mostly independent and self-paced, so it is possible to mix the order of the courses based on your interests. The only exception is that Course 1 provides a valuable overview of an autonomous vehicle in terms of hardware and software, so we recommend starting with Course 1.

You will be able to develop basic implementations of all the main components of an autonomous car software stack, including localization and mapping solutions, object detection and drivable surface detection methods, motion planning approaches and vehicle controllers. You’ll be ready to enter the industry with a strong overview of the core requirements and challenges in self-driving development, and you’ll have experience with simulating these vehicles in the CARLA simulator.

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