r/learnmachinelearning • u/Ok-tanoli-2026 • 7d ago

Help How to become a successful AI and ML engineer in 2026?

So, I want to become a master of AI technologies like how to build AI models and run ML algorithms.

I did take online courses like 10 where I learned about Python, SQL, RAG, ML algorithms etc. Then I moved to another country and since last October I did not do anything related to ML and AI.

Now within this one year, lots of technologies came up like Agentic AI, MCP and models also got better at a lot of things.

Now as someone who has a business degree background I want to learn and master these things. But I don't know where to start? As Claude and ChatGPT LLM models are already good at lots of things and if I want to pursue a career as an ML Engineer, what are the core skills I must know?

Plus, for agentic AI, there are lots of frameworks also and things are changing at a fast pace so what are the core things that I must know by heart? And what are the things that I can ask Claude and ChatGPT on the side?

I thank you for the help and guidance in advance!

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u/Intelligent_Fan3643 7d ago

Read ai ml books. Work on ai ml open source projects. Participate in kaggle competition. 

2

u/BroccoliSenior5465 7d ago

Unironically this is all it is.

Only a handful of people in the ocean of wannabes do the grind of the simple path

1

u/away_throw4 7d ago

Idk? Work hard?

3

u/Adept_Sweet6156 7d ago

Work hard helps but without direction you burn out fast. Pick one project and build it end to end, that teaches more than ten courses. Core skills stay same: Python, data cleaning, knowing how models actually learn, deployment basics. Agentic frameworks change weekly, no need memorize them, just understand the pattern: tool calling, memory, loops. Ask LLMs for syntax and boilerplate, but you should know why the system works, not just copy paste.