 Saya tidak tahu apa-apa. Saya tidak tahu apa-apa tentangnya. Saya gembira, saya risau, saya merasakan. Kerana saya berkata, Cep GPT itu sangat bagus dan AI itu sangat bagus. Saya tidak tahu apa-apa. Semua ini adalah perkara yang penting. Ia nampak sangat mudah. Sangat mudah bahawa saya tidak dapat berhasil dan tidak dapat buat apa-apa tentangnya. Saya harap ini patut menjadi jawapan terakhir. Anda gembira, anda dapat menggunakan teknologi, anda dapat menggunakan data, anda dapat menggunakan AI untuk meningkatkan perkembangan anda, untuk menggunakan perkembangan digital. Jadi ini adalah sesuatu yang saya harap. Mungkin jika anda dalam media atau berkembang, semuanya setelah saya berkata, saya akan beri anda semuanya semuanya untuk masa depan. Jadi ini mungkin sebuah emosi yang sekarang kita rasa tentang data besar dan AI. Sangat mudah, hanya seperti jatuh. Sangat mudah, sangat mudah. Semua orang bercakap tentangnya. Tetapi anda tahu solusi untuk AI? Bukan tentang teknologi. Bukan tentang anda. Bukan tentang teknologi. Bagaimana dengan teknologi? Bukan tentang anda. Anda ingin menggunakan AI atau data besar untuk menolak masalah anda. Anda adalah solusi. Sebab anda tahu perkembangan. Jika anda tidak tahu perkembangan anda, tolong tidak menggunakan data dan AI. Anda harus mengerti perkembangan anda. Bagaimana anda dapat menggunakan data untuk melihat dan menyebabkan solusi? Dan banyak orang menyebabkan. Semua orang menyebabkan perkembangan anda tentang teknologi. Wau, ini sangat bagus. Wau, juga ini bagus. HIP adalah untuk perkembangan. Dan ini yang saya beritahu tentang pelajar saya. HIP adalah untuk perkembangan, bukan untuk anda. Anda perlu tahu dan faham masalah. Kemudian anda dapat mengubahnya. Yang lain tentang ini, tentang data besar dan AI. Anda seorang manusia. Saya sudah beritahu pelajar-pelajar. Kita mahu menggunakan data besar. Anda mahu menggunakan AI secara efektif. Anda harus menjadi seorang manusia. Anda faham kemahiran manusia. Anda faham kemahiran manusia. Kemudian anda dapat menggunakan data dan AI segera dan segera. Sebenarnya, sekarang saya melihat semua teknologi AI di sana. Itu di dalam berita. Mereka beritahu, orang manusia akan membina produk mereka sendiri. Mereka telah dibina sepanjang tahun ini. Kenapa? Mereka lupa tentang percayaan. Mereka lupa bagaimana menjadi manusia. Jadi, mereka beritahu. Jadi, jangan berkembangan. Jangan risau. Untuk menggunakan data besar dan AI efektif, anda adalah solusi. Kerana anda tahu perniagaan dan anda adalah manusia. Sebab itulah saya dengar. Mereka beri anda tiga jalan. Mereka beri anda bantu membangun data AI dan talan dengan kami. Pertama, kemudian, dua dan tiga. Satu, berat konsep. Berat konsep untuk membangun kecil. Pertama, kemudian, mengambil kemahiran manusia. Walaupun dengan kami di IT, Polly atau universiti, mengambil kami. Boleh mereka, kerana mereka adalah masa depan. Pertama, membangun talan dengan kami. Jadi, perniagaan tiga. Satu perniagaan, perniagaan talan. Pertama, adalah talan-galan. Jadi, mari kita lihat perniagaan tiga. Perniagaan tiga, projek. Kita gunakan perniagaan tiga. Satu perniagaan, dan itu... anda boleh memasukkan kotak yang selanj. Itu adalah kemahiran manusia dalam perniagaan. Mereka hanya mengambil satu perniagaan ke AI untuk menggunakan data AI. Jangan beri kepada... kemahiran. Dan itu sebenarnya apa yang berlaku di COVID-19. atau satu company come in and talk to us say William we want to try AI in my business we are traditional business we are people that sells well let me show you the next video this we are engaging construction chemical people wearing helmet vest personal protective protective gear I want to transform a traditional business through into this area can we use AI can we use data so they say okay let's try why not let my true student try it and get them is is it you must I pay my students the answer is no is free of course free of charge because it is an industry project to to get our students practice what they have learnt so during covid I have one group of students that are challenging to use AI to test whether to construction worker or factory worker whether they are wearing their personal protective gear correctly or equipment correctly so this is the proof of concept video I gave a student few months this research they use that tensor flow pattern code they are experienced and they get our whole of Intel Open Vino which is an open source library right and you can use it and test it out so you see plus one without wearing gear so it's red now those who are wearing full gear is green right and that's my student doing testing again proof of concept nothing fancy right and now he's taking out return green yep he turn green turn red sorry right look and we share it to the traditional company who is doing this kind of sales right the personal protective gear sales after this the company say oh alright if ITE students can do it I believe we can get this project up and do it in a big skill of course they did not continue us to do a full bloom project they continue to engage external party to do it but is the small one small step for the company to move further than there so step one why not engage us give off your problem statement there's problem statement is small enough to give proof of concept and let our students start tinkering about it's a simple one month two months three months project let them thinking think about it and let them show you the results next so therefore we have two courses that actually look at data and also AI AI one is higher night tech which is why it's night tech night day is national IT certificate off in data engineering and next is higher night tank in AI applications so why is this two course and you can engage them to do the proof of concept project so for higher night tank data engineering basically you need big data you need to clean it up you need to put it inside a database or a data lake or data warehouse you need to process it clinic visualize it right and there is the skill sets that the students do support collection of data process such as data laboring data concretization data digitization conversion or gather raw data and so forth and most of you who are here when AI and data field you'll be familiar with all this so is to get them to visualize to make sense take insights of what you have and you let's say you have many a lot of data you don't have anybody to go and label it engage our students to do it as a proof of concept right so that is high night tech data engineering and of course the next course this is my sister course and this is a course that I'm handling application where we are training students to become associate AI engineer right first we start with mindset change where we teach about AI ethics and also software development practices where you come at a gel development coming so we have to teach them to be human first okay and how to do post software development in the correct way after changing a mindset then we look at coding skill where we teach two things Python programming essentially is basically Python mobile application programming which is android why you ask me android because we are seeing some of the application moving down to handphone mobile phone all the way even to microcontroller right where you talk about tiny machine learning and our students have to go through very tough training because they have three practical exam that where they have to quote one and a half hours quote from the talk to the bottom right first exam practical exam computer vision essential one and a half hours talking about computer vision and the application will be we're doing drones and another open source project which is Intel Open Board a fun project alright why one minute so I will quickly wrap it up natural language processing also player exam after that data where we call to talk about data all the way to AIO T which is the current current cause they are doing doing now okay after this the third star internship and we have six to nine months internship for these two courses where you can engage our students as an interns and work with us and I given my all my students one project one target in this false Asia please find a company that want to engage you for internship in false Asia so please engage and I talk to them and the last one which is and you may do a full program project with them and this is an example from now group where they did a project during covid let me fast it up be since of time counting is to do what whether you wear a mask or not wear mask you're doing social distancing there is a very full program project where they can send the data to a telegram chat at and tell the enforcement officers that somebody is flouting the room okay and this issue in feature pain China's news Asia and that's one of our students and this project of course is a longer term is six months they really spend a lot time to do it and they channel the information to do a telegram app to tell the enforcement officers as somebody is flouting the room and you can engage them to do that in during their internship that's that it worksati diploma which it is now doing where you employ the trainee to be your employee and after that give them time or maybe work three months in your company one month back into it to good do intense training what kind of training they will cover so let me quickly run over and what are these worksati diploma and tils very importantly is heavily funded by skill future so you get benefits student get the benefits trainees get benefits for skill future companies get a few benefits from skill future to and you get ready train worker in the area of data AI all right so there's a quick summary so what is the certification so these two and a half year program they work and study reveal is quite similar to the German model right where we have the foundation foundation where the students will learn about programming all the way to exploring data analysis data preparation project management second year we speak to two tracks let me quickly run through AI and data track so there's a group of student go on the AI track and the data track where they go deeper because at the end of the third year they are supposed to do a capstone project in the company and showcase it so within these two and a half years you will also encourage students to get also the industry certification from Google AWS from IBM for Apache and so forth so that is what we are actually getting our students to do so and key tone is we are launching this in 2024 so we encourage companies who are interested to grow to have your talent pool grow to join us in this program to with this I come to my last of my slide Q&A feel free to connect with us this my QR code you can connect me relink it and my email is very simple william underscore tan at it.edu.sg if you have any question if you can't even get my contact no worry my students is up now in the false Asia for these two and a half three days get hold of them and refer them to me so we maybe have a quick question is there anybody have any questions all right i think we don't have much time so we're gonna keep going on thank you very much thank you very much william tan so let's give him a round of applause