tips for all nighters.

work in an industrial area 7-7. hard to stay awake i read allot of books to help. currently going through Robert greens books. I personally drink one canister of coffee and water thought the night. the crows keep me in good company but they fall asleep so it gets really quit. like having Halloween decorations on all the cameras and lights.

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u/PhysicalScience7420 — 8 days ago

is it normal to make a ton of mistakes on your first day on the job.

don't get me wrong I learned but I made mistakes. i asked tones of question literately at least a 100. and I'm pretty sure I succeeded in something no man has ever accomplished. There was a girl who was ins security literately gave me her number first hour. I wasn't into her ;but, I didn't know how to say no. I asked her so many questions and learned both where to learn and a ton of the job. but i got her to hate me at the end of her shift. I asked questions that made a women loose interest in me. I also thought someone wasn't breathing and forgot the first aid kit rushing to help them.

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u/PhysicalScience7420 — 20 days ago

Considering SAIT Instrumentation & Control — how realistic is the path into industry?

I'm considering going into Instrumentation & Control and would like advice from people actually working in the field, particularly in Alberta/Canada.

I already have a strong software/data/ML background and I'm interested in eventually combining that with instrumentation, controls and automation. The long-term idea is to become technically strong in the trade, move toward PLCs/controls/automation, and eventually use my industry knowledge to identify opportunities for software, products, or a business.

I'm considering SAIT's Instrumentation & Control pathway because getting that first apprenticeship seems to be one of the biggest barriers. My plan would be to take the entrance test, attend the program, and continue applying for work while studying so I'm not simply waiting until graduation to look for employment. Once I'm working, I'd want to earn while building experience and progressing through the trade.

What I'm trying to figure out is whether this is actually a good strategy. I know instrumentation has fewer jobs than electrical, but I'm wondering whether the specialization is an advantage once you have the right experience. I'm particularly interested in how much the career can lead toward PLCs, controls and automation versus mainly calibration/maintenance.

For people in the trade: How difficult is it realistically to get that first job/apprenticeship? Does SAIT significantly improve your chances? How is the Alberta market? What does the work actually look like day-to-day, and how physically demanding is it?

Most importantly, if you were starting from scratch today and wanted good income, long-term technical growth, job stability and eventually the possibility of business/product ownership, would you choose instrumentation, electrical, or another route? I'd appreciate blunt answers, especially from people who have actually worked in the industry.

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u/PhysicalScience7420 — 1 month ago

road map

so a few years ago i watched a video this was in the hype of chatgpt where this youtuber made a road map and i matched it by making my own kinda wont an honest criticism. note i have been making projects for a good ml portfolio.

If you are a professional in ml I was hoping on a second opinion on if my road map was good to become an ml.

I'm planning after a few months I'm going to learn stats and calculous form khan.

I have a polytechnic software diploma.

I took a tone of certs

  • DevOps Mastery
  • Google Advanced Data Analytics
  • Google Data Analytics
  • IBM Machine Learning
  • IBM RAG and Agentic AI
  • IBM Generative AI Engineering
  • IBM Data Engineering
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u/PhysicalScience7420 — 2 months ago

road map

so a few years ago i watched a video this was in the hype of chatgpt where this youtuber made a road map and i matched it by making my own kinda wont an honest criticism. note i have been making projects for a good ml portfolio.

If you are a professional in ml I was hoping on a second opinion on if my road map was good to become an ml.

I'm planning after a few months I'm going to learn stats and calculous form khan.

I have a polytechnic software diploma.

I took a tone of certs

  • DevOps Mastery
  • Google Advanced Data Analytics
  • Google Data Analytics
  • IBM Machine Learning
  • IBM RAG and Agentic AI
  • IBM Generative AI Engineering
  • IBM Data Engineering
reddit.com
u/PhysicalScience7420 — 2 months ago

who's better the traditional or my path.

theres this guy i know who is basically a math genius. that's not praise has at a top school majoring in math and plans to get a masters and go into data science. then you have me.i have a more self taught path

  • Software development (formal diploma)

professional certs in

  • Data analytics (Google) both basic and advance.
  • Machine learning (IBM)
  • Data engineering (IBM)
  • DevOps / cloud tooling (Coursera + KodeKloud)
  • Mathematical foundations for ML (Imperial)
  • Statistical inference with Python (Michigan) built some mls mostly imaging related and analysis projects.

ps late where i am i meant what's not who's

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u/PhysicalScience7420 — 4 months ago

outside of it what should i study to build robots.

I want to actually build real robots not toys. i have an it background but lack a physics, engineering and mathematics. I know there are a million you tube channels but im hoping for anecdotal evidence on what to research. just for reference my knowledge in it is good I know

  • data engineering
  • data analysis
  • dev ops
  • software development
  • machine learning
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u/PhysicalScience7420 — 5 months ago

O want to get into robotics with an it background.

planning in a few months to complete certs in data engineering and ml from ibm actually halfway done both. after that ill have certs in dev ops and data analysis along with them. I also have years of experience in software development and a college education of it. what's a good road map?

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u/PhysicalScience7420 — 5 months ago
▲ 0 r/IBM

loving the ml cert program so far.

i've taken some ml classes mainly for hugging face but i really enjoy the ml cert on coursera.

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u/PhysicalScience7420 — 5 months ago

From where I stand, this isn’t about left vs right or picking sides—it’s about whether the country is actually functioning properly. Over time, it feels like Canada has shifted more toward centralized control, with decisions being made that don’t line up with how provinces like Alberta actually operate. When policies hit key industries—especially energy—it’s not theoretical, it affects real jobs and real stability.

What bothers me most is the lack of clear, grounded reasoning behind a lot of decisions. Raising taxes and then expecting people to just trust that it’ll work out isn’t good enough. People want transparency, they want to see results, and they want policies that make sense economically—not just politically. When that doesn’t happen, frustration builds, and you start seeing more people question whether the current system is actually working for them.

Alberta is in a different position than a lot of the country. Strong resources, skilled workforce, and the ability to stand on its own more than people admit. So the conversation about autonomy—or even separation for some—isn’t coming out of nowhere. It’s coming from a feeling that local priorities are constantly being overridden by a federal system that has very different incentives.

That said, I’m not pretending it’s simple. Breaking away or restructuring things at that level comes with real risks—trade, investment, currency, all of it. This isn’t something you jump into blindly. If it’s going to be taken seriously, it needs actual planning, not just frustration.

At the end of the day, I don’t care about political teams or narratives. I care about living in a system that works—where policies are logical, transparent, and actually improve people’s lives. If that can happen within Canada, great. If not, then it’s reasonable for people to start asking what other options look like.

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u/PhysicalScience7420 — 5 months ago

so im working on getting an ai cert and im building an ai. but my work is on kaggle and in the past unlike git ive had people say they cant find it or they want to see my stuff in github. how do i use kaggle to network properly and use my progression.

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u/PhysicalScience7420 — 5 months ago