we call Data as the first full time employee. So technically, technically, I wasn't the co founder, but because previously before I joined the other two co founders were part time working at the project. Eso I was able Thio, bring this project into another level. Uh, why I joined we cloud data or why I decided Thio at first I wasn't. I wasn't like I want Thio be an entrepreneur or I want Thio found a company that wasn't my goal. I always wanted Thio found a company, but not not at that time. It wasn't that clear. I was I just want to help out. I attended there. Workshops, I think I thought it was very informative. And back then, big data was a very trendy ward and E did research and found for big data data Science technologies can be using so many different industries. So I think there was a bright future in this village on also from the other perspective, I found a lot off students know previously, I thought it was international students in Canada. It was super hard for them to get a job. Um, generally speaking, around 6 to 8 months, usually That's how that's how much a student New Grad would spend on just looking for a job. It was the process was so frustrating. So I think it would the It's gonna be very meaningful because, uh, when you what you learned at universities or master's degree wasn't enough for you to get a job. So I want Thio. I think if any institute can offer those hands on skills and prepare students or job seekers for for the job they're looking for, I think that's super meaningful. That's why I joined this, uh, that's institute.

for our. We have different programs we have. Right now. We have a credit programs in data analytics, business intelligence, data science and data Engineering. But we are We're also applying for develops and artificial intelligence program, usually for data science. Program at took around 14 weeks. So Monday to Friday, 9 30 to 5. 30 Thio complete the program. And for data engineering, it's about 24 weeks, but, uh, six hours for a week. So So I guess it depends on different programs and different courses required different hours.

um, students can get or because we are focusing in the data field students after completing our programs, they usually like the job as data scientist Machine Learning engineers, Data analyst Risk analyst, marketing analyst business uh, analyst data engineers, Um, in all other titles were related to this field. I can see even we have part time courses. We also have full time data science boot camps, Dana boot camps for those boot camp. Full time boot camps. People are focusing on job switch. So after our book camps, usually half off our attendees for new graduates, they don't have any professional experience before. So after our camp, they will be able Teoh, get a job in this field. Um, for part time courses, I heard a lot of stories that they were able to utilize the skills they have learned in our part time courses into their, uh, work. Because I remember there was one Western mentioned. She learned the pie down skills from from our product python course. It was only ah, three week long courses, and she conducted a project with Python and gotta actually presented to the entire department and got praised by her VPN and, um director. So afterwards, I think after a few months, he got, she got promoted. So that's how because it's not just about the person that learned the skills. It's more about a transition in the company, so in you, they were able to catch the flow in in this transition.