u/Guilty-Tonight1652

I’m a recent graduate, and after covering my monthly expenses, I’m able to save around ₹50,000 every month. I’m completely new to personal finance and investing, so please consider me a beginner in this space.

Recently, I came across the concept of compounding, and it made me realize how important it is to start managing money early. My goal is simple I want to build financial peace and stability over the next 20 years.

I don’t want to put all my savings into a single investment because I understand that can be risky. Instead, I’d like to divide my money into different buckets based on safety, growth, and long-term goals.

What would you suggest for someone starting from scratch?

I’m currently building an AI product for an NGO, and one of the key requirements is deploying the entire system on Amazon Web Services (AWS). The challenge is that I have very little practical experience with AWS, and the ecosystem feels extremely vast and confusing for a beginner. Since this is a real-world project with actual deployment requirements, I want to learn AWS in a fast, structured, and practical way instead of randomly watching tutorials without understanding the bigger picture.

The project involves AI workflows, backend APIs, vector databases/RAG pipelines, authentication, storage, and scalable deployment. Because of this, I specifically want to learn the AWS services and DevOps concepts that are most useful for deploying AI applications in production. I would really appreciate recommendations for the best YouTube channels, courses, deployment tutorials, hands-on labs, roadmaps, or beginner-friendly resources that helped you learn AWS efficiently. If anyone here has experience deploying AI or RAG-based applications on AWS, I would also love to know what services and architecture you used, the common mistakes beginners make, and what concepts you think are most important to learn first.

My goal is not just to theoretically understand AWS, but to become productive enough to confidently deploy and manage this NGO project within a short time. Any guidance or resource recommendations would genuinely help a lot.

I’m currently building an AI product for an NGO, and one of the key requirements is deploying the entire system on Amazon Web Services (AWS). The challenge is that I have very little practical experience with AWS, and the ecosystem feels extremely vast and confusing for a beginner. Since this is a real-world project with actual deployment requirements, I want to learn AWS in a fast, structured, and practical way instead of randomly watching tutorials without understanding the bigger picture.

The project involves AI workflows, backend APIs, vector databases/RAG pipelines, authentication, storage, and scalable deployment. Because of this, I specifically want to learn the AWS services and DevOps concepts that are most useful for deploying AI applications in production. I would really appreciate recommendations for the best YouTube channels, courses, deployment tutorials, hands-on labs, roadmaps, or beginner-friendly resources that helped you learn AWS efficiently. If anyone here has experience deploying AI or RAG-based applications on AWS, I would also love to know what services and architecture you used, the common mistakes beginners make, and what concepts you think are most important to learn first.

My goal is not just to theoretically understand AWS, but to become productive enough to confidently deploy and manage this NGO project within a short time. Any guidance or resource recommendations would genuinely help a lot.

I’m currently building an AI product for an NGO, and one of the key requirements is deploying the entire system on Amazon Web Services (AWS). The challenge is that I have very little practical experience with AWS, and the ecosystem feels extremely vast and confusing for a beginner. Since this is a real-world project with actual deployment requirements, I want to learn AWS in a fast, structured, and practical way instead of randomly watching tutorials without understanding the bigger picture.

The project involves AI workflows, backend APIs, vector databases/RAG pipelines, authentication, storage, and scalable deployment. Because of this, I specifically want to learn the AWS services and DevOps concepts that are most useful for deploying AI applications in production. I would really appreciate recommendations for the best YouTube channels, courses, deployment tutorials, hands-on labs, roadmaps, or beginner-friendly resources that helped you learn AWS efficiently. If anyone here has experience deploying AI or RAG-based applications on AWS, I would also love to know what services and architecture you used, the common mistakes beginners make, and what concepts you think are most important to learn first.

My goal is not just to theoretically understand AWS, but to become productive enough to confidently deploy and manage this NGO project within a short time. Any guidance or resource recommendations would genuinely help a lot.

Here violence is not the issue — justification is. Today, I saw a husband hitting his wife, claiming she was possessed by the soul of someone who died 10 years ago. I live in a village where possession beliefs are considered normal, but the difference is that I had never seen violence connected to it before.

Now the world is changing super fast, especially in this AI era. How can we solve issues like this where blind belief becomes a reason for abuse?

Any suggestions or ideas?

Last month i have graduated from my college but ever since everyone around asks when will i get a job ,actually i don't know what went wrong in my four years of college for being in this position, i had good gpa , good skills and experience , I tried applying multiple job opening from linkedin and so many websites , even with all those i cannot able to secure one job

need a suggestion on what should i do next

Recently i heard about iems from one of my friend giving too much hype about it

i am not sold on that

but i like to try new things every now and then , he suggested me moon drop chu 2

i am going for it but only thing which is stopping is that i am unable to decide between dsp and 3.5 mm jack versions like which one to take ..