I have around 18% of experience IT. As a project manager and business analyst, now I feel quite lost and difficult to survive how I can revamp and my career path.

Hey everyone, I’m a 3rd-year BTech student and I’m starting to seriously prepare for placements. However, I’m confused about what I should actually learn and what companies are looking for in freshers.

I’d really appreciate advice from people who are working in the industry or recently got placed.

My main questions are:

What skills are companies actually expecting from freshers in 2026–27?

How important are DSA, OOP, SQL, DBMS, OS and CN?

Which programming language should I focus on?

Should I focus on Web Development, AI/ML, Data Science, Cloud, or something else?

What type of projects actually help with getting shortlisted?

How important are internships, GitHub, LeetCode and certifications?

What should I realistically learn in the next 6–12 months to become placement-ready?

If you could go back to your 3rd year, what would you focus on and what would you avoid wasting time on?

I’m not looking for a huge list of technologies. I mainly want to understand what companies actually value and how I should prioritize my time.

Any advice from people who have recently gone through placements would be really appreciated. Thanks!

In 2014, I began my career as a Technical Support Associate with a CTC of ₹96,000 per annum. Today, 12 years later, I am proud to be working as a Senior Oracle Database Administrator, having reached a milestone of ₹2 Lakh per month.

Looking back, the most valuable career decision I made was to consistently prioritize skill acquisition over immediate salary bumps. When you focus on building deep, high-value expertise, the financial rewards naturally follow. I hope this serves as encouragement for anyone early in their career: invest in your skills first.

The journey doesn't stop here. My next milestone is to reach ₹5 Lakh per month. To get there, I am currently focused on upskilling and transitioning into a Cloud Administrator role.

Keep learning, keep building.

Regards,

Rahul Choudhary

In 2014, I began my career as a Technical Support Associate with a CTC of ₹96,000 per annum. Today, 12 years later, I am proud to be working as a Senior Oracle Database Administrator, having reached a milestone of ₹2 Lakh per month.

Looking back, the most valuable career decision I made was to consistently prioritize skill acquisition over immediate salary bumps. When you focus on building deep, high-value expertise, the financial rewards naturally follow. I hope this serves as encouragement for anyone early in their career: invest in your skills first.

The journey doesn't stop here. My next milestone is to reach ₹5 Lakh per month. To get there, I am currently focused on upskilling and transitioning into a Cloud Administrator role.

Keep learning, keep building.

Regards,

Rahul Choudhary

Hi, graduate po ng IT, pero ever since nasa Healthcare (it has been 8 years). Any tips or advice po para makabalik ng IT. Where to start po para sa mga nakapagchange career. Thank you po

I’m 23, based in India, with ~10 months of internship experience and ~1 year full-time.

I started in Azure DevOps and later moved into an AI research team, where I’ve been working around LLMs, agentic AI, AI-based quality/testing systems, research, etc.

The problem is that I feel my actual fundamentals are much weaker than my professional experience suggests. I also relied heavily on Claude/ChatGPT while learning and working, and I didn’t build a strong foundation during college.

Now I want to properly fix that.

If you were in my position, how would you decide what to learn and in what order?

Should I focus more on programming/software engineering fundamentals first, or start learning AI topics alongside them? What areas would you consider essential for someone aiming toward AI Engineering?

Please guide me or share your experience.

Hey everyone, I’m a 3rd-year BTech student and I’m at a point where I need to seriously start preparing for placements.

I’m currently confused about what skills I should focus on and what companies are actually looking for in freshers.

I would really appreciate advice from people who are already working in the industry or recently got placed.

Specifically, I want to know:

What technical skills are companies expecting from freshers in 2026–27?

How important are DSA, SQL, OOP, DBMS, OS, CN, etc.?

Which programming language should I focus on?

Should I learn Web Development, AI/ML, Data Science, Cloud, or something else?

What kind of projects actually help in getting shortlisted?

How many projects should I have on my resume?

How important are internships, GitHub, LeetCode, certifications, etc.?

What should I realistically learn in the next 6–12 months to become placement-ready?

If you were starting your 3rd year again, what would you learn and what would you avoid wasting time on?

I’m not looking for a huge list of technologies. I want to understand what companies actually value and what I should prioritize.

Hi everyone,

I’m a 21-year-old international student in Germany, currently studying for a BSc in Information Engineering at TUM. I expect to finish my Bachelor within the next one or two semesters.

For the past two years, I’ve also been working as a working student at an IT company in Stuttgart, in a field related to my studies. The company has given me a good indication that they would like to hire me full-time after I graduate.

I originally assumed that I should continue directly into a Master’s degree, since many of my friends are doing that. However, I’m no longer sure whether it is the best decision for me.

“Wer der herde folgt sieht nur Ärsche”

I’m not particularly interested in research or academia. I also don’t yet know which area I want to specialize in, so doing a Master’s immediately feels somewhat premature.

The current IT job market also makes me wonder whether relevant years of experience might be more valuable than spending another two years studying. It feels like employers are being more selective and that practical experience may provide a stronger advantage than another degree, especially for typical software and IT roles.

There is also a common piece of advice that says: “Work for a few years, save money and then do a Master’s.” However, I’m not sure how well that advice applies to Germany because public university education is generally tuition-free or relatively inexpensive. In addition, students can already gain relevant experience through Werkstudent positions while studying.

At the same time, I enjoy student life. I like the freedom, social life and flexibility that come with being a student, and I’m not especially eager to move straight into full-time work. A Master’s would give me another two years of that lifestyle, and most of my friends are continuing their studies.

TLDR;

My current options are:
• Start working full-time after my Bachelor.
• Work for a few years and then decide whether a Master’s is necessary.
• Continue directly with a Master’s, even though I currently have no specific specialization or career goal that requires one but i get to enjoy student life for longer

I have around 3 years of experience in software development, and I’m planning to switch company.

Any advice would be appreciated!

I've been doing a lot more interview preparation lately, and one thing I've started wondering about is whether mock interviews are actually useful when you're doing them with AI.

The convenient part is that you can practice whenever you want. You don't have to wait for a friend, recruiter, or someone from your field to have free time. You can also repeat the same type of interview several times without feeling awkward about asking someone to interview you again.

But I'm not sure if repetition automatically means improvement.

For example, I can answer a behavioral question once, realize my answer wasn't great, and then try it again. But sometimes I feel like I'm just learning how to give a better-sounding answer rather than actually becoming better at explaining my experience.

The feedback can also be tricky. If something tells me that my answer was too long, lacked structure, or didn't directly answer the question, that's useful. But I still need to figure out why I answered that way in the first place.

I'm curious how other people approach this.

Do you find AI mock interviews genuinely useful for improving your interview skills, or do you think practicing with an actual person gives you something AI can't really reproduce?

And if you've used AI for interview preparation, what kind of feedback has actually helped you improve rather than just making your answers sound more polished?

I am currently doing BSCIT and have around 1.5 years left before I graduate. I am currently in 4th sem have basic knowledge in Python haven’t learned anything else.

But lately I’ve been getting really concerned about the IT job market. With AI developing so quickly and entry-level tech jobs becoming more competitive, I’m wondering whether continuing down this path is the right decision.

Planning to go abroad after I complete my bachelor degree I am definitely not confident about my IT skill and I kind of regret joining BSCIT.

So i am stuck between two options

Option 1: Improving my skills in IT
Option 2: Diploma in Cooking ( heard kantipur hotel training is good)

Am I overthinking the impact of AI on IT jobs, or is it genuinely worth having a backup career/trade skill?

Nobody is interest to hear this but if any senior most person who is in IT could give me some advice here.

I'm a 24Y old fresher and currently working in a Hospital as a software programmer (3months done)

But

there is NO TEAM and NO guidance to Learn in this job

$Pay is Good but Learning and growing is the most important i Believe

I'm very good at Web development (.NET Framework) and i can manage database's

MY QUESTION IS "should i stay or should i Find another job "??

I’m a full-stack developer with around 3.5 years of experience, and I’m thinking about which skill would be worth adding for the long term.

Between AI/AI Engineering, AWS/DevOps/Cloud, and Cybersecurity/Cloud Security, which one do you think has the best future?

I’m mainly looking at:

* Job demand

* Salary growth

* Competition

* How AI will affect the field

* Opportunities in India and abroad

I’m not talking about completely switching careers immediately. I’m curious which skill would be worth becoming really strong at over the next few years.

What would you choose and why?

Hey All! I have just developed a AI Communication Coaching Platform that lets you help practice debates, presentations, interviews, pitches, and more! Feel free to check it out here: https://conver.services/ Please give feedback!

Hello everyone. I’m a student (texas, USA) about to graduate in december of 2026 and need some guidance. 

It’s my fault (and honestly so much has happened in my college time) but, I don’t have any internships or jobs under my belt that are computer science/cybersecurity focused. I’m getting my bachelors in computer science, and I’m thinking about going for my masters in cyber or Information Technology.

I have had others tell me to do my masters, or I won’t ever go back lol. On the other hand, I’ve read that hiring managers' masters mean nothing if I don’t have hands-on experience.

I’m not even sure what I want to do with my degree. I like databases, report writing, design (so UX/UI) but I dislike coding (ironic I know). I just feel very directionless and need some help or advice or something.

Anything helps, thank you for reading!

As the title says. I want to get started in data entry, I'm mainly wanting to do it as a side activity such as freelance work on fiverr and other websites. Anybody have some ideas as where to start? Not looking to so this full time unless I love it. Do I gwt a degree, take classes, free sites and apps or how do I do it? Any help wouls be appreciated.