AI is going to kill us all before 2030 and more doom and gloom stuff about the world. Yada yada yada.
But hey, this girl right here remains positive about it. I'd be damn proud that no matter what happens, I finally will have my certification . One of the thing I learned from my recent circle is that it doesn't matter how competent or smart you are, if you don't have the credentials in a form of certification and papers to back it up, you are a nobody.
This rule applies outside the country I live in. You can be smart, without cert but you need to ensure you're pretty loud about your skills or you'd left in obliviion.
Anyhow, despite knowing how to do a lot of things and I mean a lot. I never thought about getting actual certification. That begs the question these days that in the age of AI, does it still matter? A person on Linkedin argues it does. The only thing that changes is that you need to have some type of AI certification. If you want to survive ( provided you're not wealthy yet) and still a cog in the machine, that's what you need to do and I am trying to convince that it is what we all need.
Recently, I am taking quite a bit of seminars with credentialed certifications. Some of the ones I am taking include LLM-Based Tools and Gemini API Integration for Data Scientists. It's a short 3 days seminar covering how to integrate GEMINI API with streamlit and create out own chatbot. In the end, I created one that can be seen here with 100% python.
My github has been pretty busy lately with some projects I created for my disaster management class. I am also enrolled in a couple more training to add more certifications. Some of the ones I do is paid and some I take through MOOC with options to upgrade to actual track & certifications next year. Unlike in the past where I typically half-ass it,this time I need the actual certification to rack them all up so I can land some more consulting job in a proper consulting company.
These days, you can master any topic within a week if you know the framework, prompt engineering and some motivation. In my case, a dopamine. I test it with myself. When I sit down with a proper playlist, a blasted Air Condition and high quality coffee, I was able to finish my mini project chatbot for the seminar I enrolled so I get the certifications.
This right here is what I needed that now only I showed up but also completed a project. This was from my previous course that I attended.
Actually, these days the more I learn about AI, the busier I get because creating and learning barriers have never been lower and easier. You can learn anything you want to know, play around, test it out and bam, you have a product specially catered to you.
And on top of all the digital stuff I am learning, I want to get certified on ASP (Associate Safety Professional)and stuff like that especially chasing mining and environmental certifications. I think this is where teaching gets really interesting to me because you need the skill. Teaching is one way to show that you really understand it when you can explain the framework and concept to fellow human. Afterall, a knowledge can only be useful when it is impactful enough for our surrounding or even just the small circles that we have.
If you're stil under 30 or around 30, there's still time. Or you can stuck with the doom and gloom mindset because you never know. We're at that stage where the scientists tells us that AI might as well advance and kill us all before the decade ends.
𝘊𝘦𝘮𝘺 (𝘰𝘳 𝘔𝘢𝘤) 𝘪𝘴 𝘢 𝘤𝘶𝘳𝘪𝘰𝘶𝘴 𝘨𝘦𝘯𝘦𝘳𝘢𝘭𝘪𝘴𝘵, 𝘤𝘰𝘧𝘧𝘦𝘦 𝘤𝘰𝘯𝘯𝘰𝘪𝘴𝘴𝘦𝘶𝘳, 𝘢𝘯𝘥 𝘢𝘯 𝘢𝘮𝘣𝘪𝘷𝘦𝘳𝘵 𝘸𝘩𝘰 𝘧𝘪𝘯𝘥𝘴 𝘣𝘢𝘭𝘢𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘴𝘰𝘭𝘪𝘵𝘶𝘥𝘦 𝘢𝘯𝘥 𝘴𝘰𝘤𝘪𝘢𝘭 𝘴𝘱𝘢𝘳𝘬. 𝘏𝘦𝘳 𝘣𝘭𝘰𝘨 𝘪𝘴 𝘧𝘶𝘦𝘭𝘦𝘥 𝘣𝘺 𝘤𝘶𝘳𝘪𝘰𝘴𝘪𝘵𝘺 𝘢𝘯𝘥 𝘢 𝘴𝘪𝘮𝘱𝘭𝘦 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯: 𝘸𝘩𝘺 𝘥𝘰𝘦𝘴 𝘵𝘩𝘦 𝘸𝘰𝘳𝘭𝘥 𝘸𝘰𝘳𝘬 𝘵𝘩𝘦 𝘸𝘢𝘺 𝘪𝘵 𝘥𝘰𝘦𝘴? 𝘠𝘰𝘶'𝘭𝘭 𝘰𝘧𝘵𝘦𝘯 𝘧𝘪𝘯𝘥 𝘩𝘦𝘳 𝘸𝘳𝘪𝘵𝘪𝘯𝘨 𝘢𝘣𝘰𝘶𝘵 𝘵𝘳𝘢𝘷𝘦𝘭, 𝘨𝘦𝘰𝘨𝘳𝘢𝘱𝘩𝘺, 𝘤𝘪𝘵𝘪𝘦𝘴, 𝘤𝘰𝘧𝘧𝘦𝘦, 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺, 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘦𝘷𝘦𝘳𝘺𝘥𝘢𝘺 𝘰𝘣𝘴𝘦𝘳𝘷𝘢𝘵𝘪𝘰𝘯𝘴 𝘵𝘩𝘢𝘵 𝘮𝘰𝘴𝘵 𝘱𝘦𝘰𝘱𝘭𝘦 𝘸𝘢𝘭𝘬 𝘱𝘢𝘴𝘵. 𝘚𝘩𝘦 𝘭𝘰𝘷𝘦𝘴 𝘴𝘸𝘪𝘮𝘮𝘪𝘯𝘨 𝘢𝘯𝘥 𝘦𝘹𝘱𝘭𝘰𝘳𝘪𝘯𝘨 𝘯𝘦𝘸 𝘱𝘭𝘢𝘤𝘦𝘴. 𝘍𝘰𝘭𝘭𝘰𝘸 𝘩𝘦𝘳 𝘰𝘯 𝘏𝘪𝘷𝘦, 𝘨𝘳𝘢𝘣 𝘢 𝘤𝘶𝘱 𝘰𝘧 𝘤𝘰𝘧𝘧𝘦𝘦, 𝘢𝘯𝘥 𝘴𝘦𝘦 𝘵𝘩𝘦 𝘸𝘰𝘳𝘭𝘥 𝘢 𝘭𝘪𝘵𝘵𝘭𝘦 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘵𝘭𝘺. |



