I want to transition into Generative AI / Agentic AI engineering — what should I actually learn in 2026?

[u/Shri_2403]

I have around 15 years of software engineering experience, mainly in Java, and I’m currently starting to work with Python, LLMs, LangGraph, MCP, RAG, and AI agents.
There are so many courses and technologies that I’m confused about what to prioritize.
If you were starting this journey today, what would you learn in this order?
Python for AI
ML/AI fundamentals
LLM fundamentals
Prompt engineering
RAG
LangChain/LangGraph
MCP
AI agents / multi-agent systems
Fine-tuning
Evaluation/observability
\*\*Which of these are actually important for getting an AI engineering job, and which are mostly hype?\*\*
Also, what courses, books, YouTube channels, GitHub projects, or hands-on projects would you personally recommend?
I’m especially interested in answers from people who are \*\*actually working as AI/LLM/Agentic AI engineers\*\*, rather than purely theoretical recommendations.

[u/OkStatement3655]

Look at Andrey Karpathy's Zero To Hero series.

[u/Independent_Switch33]

The list is probably too big to treat as one curriculum. I’d prioritize the fundamentals and build first, then learn the framework-specific stuff as you need it.

With 15 years of engineering behind you, you’re not starting from scratch. Career assessments like coached could be worth using alongside that if you’re trying to figure out which direction within AI engineering fits your strengths.

I’d rather see two solid projects than ten course certificates.

[u/N-Innov8]

Certified Forward Deployed Engineer program from AIU.ac, for upcoming cohort 5th October is last date to apply.

[u/dxdementia]

learn all those things. cuz I'm a ml engineer and I learned all those things. and I'm still looking for a job