Ka ārahi mātou i a koe mā tētahi marautanga i kōwhiria āta, kia kawe i a koe mai i te ‘pākiki noa’ ki te ‘kua whiwhi tiwhikete’ i te Data Science & AI i roto i te 12 wiki (wā-katoa).
SQL, Python, Jupyter Notebook, Git me GitHub, Pāngarau Rārangi (Linear Algebra), Tūponotanga me te Tauanga (Statistics).
Tātari Raraunga, whakarite raraunga, whakaata raraunga (visualization) me te torotoro raraunga (exploration).
Machine Learning, ako ārahi me te ako kāore he ārahi, whakapai tauira ML, Naive Bayes, SVM, Random Forests, ML Pipelines me te Classification.
Neural Networks (whakatinana, rapurongoā me te whakapai), CNN Architectures, Autoencoder Architecture, Data Augmentation, Tensorflow, Keras me Scikit-Learn.
Waehere kuputuhi mō NLP, Recurrent Neural Networks (RNN), LSTM, Attention Mechanisms, Transformer Model me te hanga chatbot.
Ako i tō ake tere me tā mātou Akoranga Pūtaiao Raraunga me te AI kei-te-tono, me te tino ngāwari mā tā mātou hōtaka hōhonu, tere-ā-koe. Whakakaha i tō mōhiotanga ki te huri raraunga mata hei tirohanga kaha, te whakangungu tauira mātau, me te hanga taupānga AI o te ao tūturu, ā, puta atu kua rite ki te whakarewa i tō mahi i te ao auahatanga e ārahina ana e te raraunga.
Kāore koe e hiahiatia kia whai tohu o mua i te Pūtaiao Rorohiko, i te hōtaka rānei, kia uru mai ai ki tō mātou bootcamp. Ka whakapae mātou kāore he mōhiotanga o mua, ā, ka ārahi mātou i a koe i ngā tūāpapa i ngā wiki tuatahi kia hanga ai he tūāpapa kaha mai i te tīmatanga. Ahakoa he hōu koe ki tēnei māra, he hiahia rānei ki te whakapiki pūkenga, kua hangaia tēnei hōtaka kia tere, kia māia hoki tō piki whakamua.
Ngā wānanga whakamātau mōu me te hapori whānui o CLA. Tirohia he tauira o ngā mea ka tukuna e tō mātou Pokapū Ara Mahi, tūtaki ki te Kaitohutohu Ara Mahi, ā, kuhu mai mō tētahi hui hei whakapai tere i tō CV i ngā wā whakamutunga.
He hui whai hanganga hei tautuhi i ō whāinga ara mahi, ā, hei waihanga rautaki kia tutuki ai — mā te kōrero āwhina, mā te whakamahere Mahere Mahi Ara Mahi (Career Action Planning) rānei.
Whakaharatau i ngā pātai whanonga e tino kitea ana: me pēhea te whakaatu i ngā mea e rapu ana ngā kaitukumahi, me pēhea te whakaatu i ō kaha, me pēhea te whakahaere kōrero mō ngā tūmanako utu (salary/pay expectations), me ētahi atu.
Riro mai he taunakitanga whaiaro mō tō CV/résumé me tō cover letter, kia hopukina ai te aro o ngā kaitāpae (recruiters) me ngā kaiwhakahaere utu, kia whiwhi uiui ai koe mō te tūranga e hiahia ana.
Ngā whai wāhitanga mahi hou rawa, kua tīpakohia e ā mātou mātanga ara mahi, ā, kua tohua kia hāngai ki ngā tūranga taumata-urunga (entry-level), ngā internship, me ngā tūranga junior.
Uru mārō ki ngā rauemi ratonga ara mahi i tō mātou tūāpapa ako — ngā mahi (assignments), ngā tauira, me ngā rauemi mō te rāngai hangarau.
Tūtaki ki ngā mātanga hangarau i roto i tō rāngai kia whiwhi tohutohu me te arataki, ā, kia whai wāhi hoki ki te whakawhanaunga i roto i ā mātou hui Career Chat.
Hono atu ki ō hoa akomanga me ngā ākonga o mua o CLA hei tiritiri rauemi whai tikanga, hei tīmata kōrero whai pānga, ā, hei tiritiri tūranga mahi ka whai hua ki te hapori alumni.
He tautoko kua whakaritea e ngā mātanga mahi: whakahou CV me LinkedIn, uiui whakaharatau, me tētahi rautaki rapu-mahi e aronui ana ki te hangarau.
Whakaoti te hōtaka me tētahi kōpaki kua rite mō GitHub o ngā kaupapa o te ao tūturu — i hangaia i roto i te akomanga, ā, i whakapaihia mā ngā urupare a ngā kaitautoko.
Ka whakahoungia te marautanga ia hauwhā kia hāngai ki ngā hiahia kimi kaimahi o nāianei i te AI, te haumarutanga matihiko, me te whakawhanaketanga tukutuku.
Whakaaturia tō tiwhikete Code Labs Academy kua whakamanahia e AZAV ki LinkedIn, ki tō CV, me ngā tono uruwhenua.