I am going to take on a senior role in a really old organization. They dont have any ADRs. They informed me that they did the architecture design using contractors/consultants so they never provided it. If we pay for their service, aren't we supposed to be the owner of the ADRs?
In my previous company, we owned the ADRs from external contractors and consulants.
Maybe they should, but I'd ask a different question. Did your company not give them the ADRs? ADRs are supposed to be high level decisions, like the decision to use REST or gRPC across an enterprise as a public or private API standard. If an application was built to a spec by your company, I'd assume they'd be making decisions like that.
I wish that I could reveal the name of the organization that I taking on the position with. They are in a rough shape.
The organization provided project specification but not architectural specification. The consulting company has been working with them for almost 3 years now and providing solutions architect services.
I was in the similar position where I built the tech and the co-founder had the idea. The bottom line is that whether you sign the contract or not, if you have gotten compensated for your work through shares or money, then the IP is owned by the company.
If you think your co-founder is going to take you to court, then don't do it. I learned my lesson that fighting it in the court is expensive and useless. Only person that is going to win would be the lawyer. You are never going to get an investor with a pending lawsuit. Every bit of money you are going to earn, you will spend it on the lawyers and its not cheap. Whether you are right or wrong, the lawyer needs to prove it. Sometimes they can have legitimate case sometimes they don't. But it doesn't matter...it will take years before it get settled. Until then you will be living off of whatever you got left from the lawyer's fees.
I am taking Machine Learning on coursera by Andrew Ag. Initially I was intimidated by the idea of ML as I had no prior programming experience. I started learning data science stuff less than 6 months ago. I started to feel motivated and confident about ML by taking this course. I highly recommend it.
It's self-paced, so it's kinda up to you. There are "deadlines" to help keep you on track, but they're optional. To pass, you just have to pass all the graded assignments by the end date. But if you're getting close to the end and are behind, you can always shift your enrollment to the following session - but you keep all your progress and everything. It's pretty cool in that regard. Very low pressure.
It's been a while since I took it, but I think I spent an hour or two a week watching the videos and reading notes and whatever, and then maybe another 3-5 hours on the programming assignment. It was probably less than that on the earlier programming assignments, and more on the later ones as things got more complicated later on. And I might have spent more time on the videos on certain sections, because of re-watching sections that weren't intuitively clear to me right away. In particular, some of the math'ier stuff where he explained the stuff about using partial derivatives to calculate the error gradients for neural networks... that stuff I had to put more work into since my math background isn't real strong (I never took multi-variable calculus).
All of that said, you can get through the class and learn and understand the material at the level he teaches it, even without completely understanding partial derivatives (a point he makes in the lecture). But having a strong calculus background certainly wouldn't hurt.
I spend about min an hour a day. The general timeline is about 4 hrs per lectures, reading 1 hr reading (mostly optional) and 3 hrs per assignment. I take longer time on assignment since I am new. Sometimes I have to watch lectures over and over again to understand. In general I spend about 10 hrs/week.
I don't think there is any value in paying for the certification, since its an introductory course.
In my previous company, we owned the ADRs from external contractors and consulants.