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.