Hi everyone,
I’m currently a B.Sc. AI/ML student in Mumbai and my goal is to eventually land an AI/ML Engineering role abroad (Europe/US/Singapore).
I’ve narrowed my upskilling down to two very different paths, and I’m having a hard time choosing because they seem to target different "types" of AI engineers. I’d love to get some perspective from people already working in the field.
Option 1: IBM AI Engineering Professional Certificate (Coursera)
- The Vibe: Very corporate, Python-heavy, focuses on the "traditional" stack (Scikit-Learn, Keras, PyTorch, Computer Vision).
- Pros: The IBM brand is globally recognized; covers the math/theory my degree expects; uses Python (which seems to be the industry standard).
- Cons: Might be a bit "dry" or theoretical; I’ve heard some Coursera labs can be dated.
Option 2: Scrimba AI Engineer Path
- The Vibe: Very interactive, JavaScript-heavy, focuses on "Agentic AI" (LLMs, RAG, LangChain, building actual apps).
- Pros: Much more hands-on; teaches "modern" AI integration; I like the Scrimba interactive UI.
- Cons: It’s all in JavaScript/Node.js. I’m worried that if I go the JS route, I’ll be filtered out of core ML Engineering roles that require heavy Python/C++ optimization.
My Dilemma: Is the industry moving toward a "JS-first" AI implementation (building agents and apps), or is Python still the mandatory gateway for international ML roles?
If your goal was to move abroad, which certificate/stack would you want to see on a junior’s resume?
Current Background:
- B.Sc. in AI/ML (Student)
- Comfortable with Python and C++
- Looking for the best ROI for international job hunting.
Thanks in advance for the help!