Hello everyone,

I'm currently getting into AI. I know the basics of Python, but not much beyond that. I asked a few people and AI chatbots about the prerequisites for becoming an AI/GenAI Engineer, and they suggested learning things like:

• Statistics
• Machine Learning
• Deep Learning
• DSA
• SQL
• FastAPI
• Docker
• Cloud
• Git/GitHub
• Linux
• RAG
• AI Agents

The list feels quite overwhelming, and I'm not sure what depth is actually required for an AI/GenAI Engineer role.

For those already working in AI, what prerequisites are genuinely essential before diving into LLMs and GenAI? Also, if you were starting from scratch today, what learning roadmap would you follow?

Self written lyrics. Music was inspired by The Afterlife Roast where the music was described for style prompt and meta-tagged into the lyrics, the musical theme cords was audio input into Suno for generation. Audio was downloaded and edited on Davinci Resolve Studio. Flux 1 generated image edited in Gnu Image Manipulation Program then fed into Seedance 2.0. Output clips were edited in Davinci Resolve Studio to create the video.

---Concept & Structure---

This is a satire meme song - Stadium rock, hip-hop and rap-rock crossover fusion.
MV version can be seen at:
https://youtube.com/shorts/9FcX5wLYs38

-With Thanks-
With huge THANKS for the permission and unfettered use from The Afterlife Roast, this song is inspired by and remix of style and musical theme of:
The Jester vs. The Empire: Dante on The Late Show | Diss Track
by The Afterlife Roast.
Political Satire Alert !!! The Afterlife Roast channel: https://www.youtube.com/channel/UCHRk3fGjC0Pn0SmubaPbEPw

-Lyrical Inspiration-
Possible origins of Trump Curse Meme

MLB World Series October 2019 (Nationals vs Astros):
Game 5 in Washington supporting home team Nationals.
Nationals lost 7–1 at home.

Ryder Cup September 2025 (Bethpage Black, New York):
Present supporting home team US.
Europe defeated the U.S. team.

NFL November 2025 (Commanders vs Lions):
Attended in Washington supporting home team Commanders.
Commanders lost 44–22.

NBA Finals June 2026 (Knicks vs Spurs):
Attended Game 3 at Madison Square Garden supporting home team Knicks.
Knicks lost 115–111, ending a 13‑game winning streak.
Fans booed him loudly, and social media dubbed it the “Trump Curse.”
Sage burning by fans was seen outside Madison Square Garden after Game 3
Trishna Sharma, a lifelong fan from Long Island, also performed a private Hindu ritual using salt and mustard seeds
Knicks won the next match.

To be fair, there was 1 home team he supported that won.
MLB: New York Yankees vs. Detroit Tigers (September, 2025)

Hey guys (used chatgpt for the quesion as i am not that good with english)

I've been using LLMs like ChatGPT, Claude, Gemini, and other AI tools almost every day.

I've decided that I want to seriously learn AI, but I'm not interested in the traditional Machine Learning/Data Science path (training models, advanced mathematics, etc.).

Instead, I keep hearing terms like:

• Generative AI
• Agentic AI
• AI Agents
• RAG
• MCP
• Fine-tuning

...and honestly, I'm still confused about how all these fit together. I don't even have a clear understanding of the difference between Generative AI and Agentic AI.

My background

• I know the bare basics of Python.
• I'm okay with low-code, and I'm willing to write some Python as long as it doesn't become heavy software engineering or advanced algorithmic programming.

What I'm looking for

I'm hoping to find a single, structured learning roadmap or course (free) that teaches everything in the right order, including:

• LLM fundamentals
• Prompt Engineering
• APIs
• RAG
• Fine-tuning (at least enough to know when to use it)
• AI Agents
• Agentic AI
• MCP
• Memory
• AI Evaluation
• Multi-agent systems
• AI workflows
• Production concepts

Basically, I want to understand the modern AI stack from the perspective of someone who wants to build real-world AI solutions.

Career question

After learning all of this, what kinds of jobs are actually available?

I'm not interested in freelancing or starting an AI agency.

I'm more interested in roles within companies or startups. Some examples I'm curious about:

I'd also love to know:

• If you were starting from scratch in 2026, what roadmap would you follow?
• Is there one "gold standard" course or curriculum that the community recommends?

Thanks in advance! I'm trying to build a solid foundation instead of jumping between random YouTube tutorials.

I don't really know how to ask this question, or how to get at the root of it.

To anyone who has used AI (directly, intentionally), which at this point I'm guessing is almost everyone, I'm going to seem WAY behind the times. I am. For whatever reason, I've completely avoided using ChatGPT or anything similar, even once. Never been to any of these websites. Closest I've come is seeing Google's AI search results, but I do my best to ignore those. Yes, I know it's embedded in other things I'm using every day and many comments on Reddit for example are built with it (which happens to be the inspiration for this post). I just mean I've never directly, knowingly, logged onto an AI website to have it answer questions for me, or write things for me, or create images for me. Nothing. I don't trust it to be accurate, and I don't want to use anyone's words but my own. I'd rather be wrong and honest than correct and dishonest. Plus I'm stubborn, and stuck in my ways.

Anyway, that was all for context. What I want to ask is... why are people using AI to write for them? Particularly in an anonymous setting, like Reddit. It's not for work, you're not making money off it. It's not for school, you're not getting graded on it. No one knows who you are, so you're not getting any kind of credit for it. So what's the point? What do you get out of it? Why give the illusion you're contributing to a discussion, when you're not? So that's the "why."

I'm also confused on the "how" - what's the actual process? Is it completely generated from scratch, or are you feeding it a couple sentences about what you want to say, then asking it to elaborate for you? When that happens, do you read it back and find yourself agreeing with all of its elaborations? And if not, do you change them? Or do you just roll with it because it sounds like a better version of you? I'm not trying to be judgmental, I genuinely don't understand the point.

I see exchanges like the one below every day. Did this person even watch the episode? Did they really like it? How much of it this is their own words? Why did they bother doing this, if they're not even expressing themselves? And why is the confession so casual, and upvoted? It was an entire year ago too, I didn't even realize we were that 'deep' into AI use already. "What do you expect?" he asks, as though it's obvious if you're using AI for one thing you're going to use it for everything. Or really, he implies it's obvious that any post on Reddit would be written with AI, since the person replying has no way to know this guy's "vibe-coding apps." It's so weird to me.

I don't know where else to ask this but I'm guessing this post will get deleted and I'll have to figure out a better place.

https://preview.redd.it/r54ncw5qlr9h1.png?width=930&format=png&auto=webp&s=7f6b190806fd92d746094d965540d132f6c03afc

Hi, Can y'all please suggest good, structured gen ai courses, on youtube or anywhere else. I'm a complete beginner and i've tried my best to find a good course with the correct flow, but i just couldnt. i need one that'll teach me well and will be enough for fresher recruitments . someone please help