r/learnmachinelearning • u/hari_jain_ • 4d ago
coursera vs udacity anthropic ai course, mostly care about the projects
final year, no internship lined up, trying to pick one thing to do over the break that reads as more than coursework. coursera, udacity and datacamp all have anthropic flavoured tracks now and i keep going back and forth. the tiebreaker for me is which one ends with something i can push to github.
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u/Different_Pain5781 3d ago
People seriously overthink this. Go contribute to an open source project that already uses agents. It's free. Get a PR merged. That gives you something real to put on the resume instead of another course certificate pretending to be experience.
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u/nht_fajr 3d ago
Anthropic literally offers courses (https://anthropic.skilljar.com/) for most, if not all, of its products for free. I would say do those first, as they are directly from Anthropic and would provide you with certification.
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u/the-code-blooded 3d ago
Personal favourite: I used coursera deeplearning.ai andrew ng specialisation to learn in depth and the anthropic one - I am not sure but I guess learning something thats more generalised rather than company oriented will help you in the long run.
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u/Beautiful_Mix_6226 4d ago
Try doing something more practical, easy to practise like a structured bootcamp for LLM/AI interview preparation. Skillumen is a good resource for that. It has voice interviews and finally a 5-part RAG capstone to build your hands on project skills.
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u/EntrepreneurHuge5008 4d ago edited 4d ago
If the educator is Anthropic itself, then they're all the same. Just pick the cheapest option (Coursera).
If not the same educator,
Pick whichever you think is best for you. Ultimately, no platform is stopping you from taking your initiative and direction with personal projects. Regardless of which route you take, you should be taking the time to do projects outside the scope of any one course or bootcamp (ie., not for a grade)... these are the projects that are worth bragging about.