Choosing the Right Path After Struggling in College: AI/ML, Cloud Engineering, or Data Science?

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Asked By CuriousTraveler99 On

Hey there! I'm a final year CSE student and honestly, my college experience has been pretty rough. I've got a low CGPA, not the best coding skills, and even faced a year of detention. Now, I'm determined to turn things around and start building some useful skills before I graduate.

I'm at a crossroads trying to decide between three paths: AI/ML, Cloud Engineering (like Azure or AWS with DevOps), or Data Science. I'm committed to putting in about 5 to 6 hours a day to learn and improve.

I'd love some insights on:
- Which of these fields is generally more beginner-friendly?
- Where are the best job prospects for fresh graduates right now?
- Can anyone share a roadmap or steps I should follow to build my skills effectively?

Any advice or personal experiences would be super helpful!

3 Answers

Answered By TechGuru101 On

Based on what you're saying, I'd suggest diving into Cloud Engineering and DevOps. It's a rapidly growing field with lots of opportunities, and you could start learning the basics online without needing a super strong foundation in coding. Focus on AWS or Azure, as they're highly in demand right now.

Answered By SkillSeeker22 On

It sounds like you're ready to put in the work! If you have some basics in web technologies, maybe try starting with web development before heading into AI or Data Science. However, of your choices, Cloud Engineering looks promising for job opportunities. Just keep consistent practice, and don’t forget to set achievable goals.

Answered By InspiringCoder88 On

Honestly, all those options are great depending on your interest. For pure job prospects, Cloud Engineering is hot right now. AI/ML can be a bit tricky since it often requires solid coding and math skills. Data Science is also appealing if you enjoy working with data and statistics. Just make sure to choose what excites you most, as motivation is key!

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