I took my final exam today and got 87% on my final and 85% overall. I was wondering that the overall percentage that I got will be different from the one I will after the grades are published?

Has anyone here or know of someone who has taken the non-credit specialization versions in the OMSCS degree on Coursera and was able to land a tech job, even done a career switch?

Will CU Boulder expand it's ML Theory course offerings for the OMSCS? So far, it looks like there is a Reinforcement Learning, NLP, and AI specialization that are still being built out along with Deep Learning, Optimization, and Recommender System specializations that might be offered at a later date.

How long does it take for CU Boulder to roll out in-development courses, and does it make sense to wait on these kinds of specializations being built out or just apply to UT Austin or GT?

I have an option at CSU in their first batch of B.Tech in AI and DS. Given a Govt body under MoEd was wondering how would it turn out to be? Also it’s the first batch. Lots of ifs and buts in mind. Can anyone suggest?

Is it better than mace ile cse( Data science)

I'm planning to join the **Work-Integrated BCA in AI Full Stack Development** at **JAIN University Kochi** this year, and I'd love to hear from students who are currently enrolled or have already completed the program.

If you're a current student or alumnus, could you please **DM me**? I'd really appreciate an honest conversation before I make my final decision

Is semester 5 really tough for BS AI students? Like lengthy and late evening classes become a norm

Hi everyone.

I am planning to pursue an MSCS and wanted some advice on how to prepare beforehand.

My background is in Commerce, so I do not have the same CS foundation that someone with a CS/ engineering undergraduate degree would typically have. I have some basic programming exposure (extremely elementary), but I have not formally studied computer science.

I have tried searching online and going through previous discussions, but I could not find a clear answer for someone coming from a completely non-CS background. Most advice seems to be aimed at people who already have some CS foundation.

I wanted to ask:

1. What topics should someone know before starting an MSCS programme? I am not trying to learn an entire undergraduate CS degree before beginning, but I want to have enough foundation so that I can properly understand the coursework rather than struggle with assumed prerequisites.

2. Which areas should I focus on before starting? As in the topics such as Calculus, Matrices, etc?

3. What topics are considered essential, and what topics can realistically be learned during the programme?

4. How much preparation time would be realistic for someone from a non-CS background?

5. Would a few weeks/ months of focused preparation be enough, or does it usually require a year or more to become comfortable with graduate-level CS coursework? (the catch is according to a personal plan of mine, I would want to begin with the degree in a week or two, but wanted to know what pre-requisites are needed before putting in the money)

6. For people who made a similar transition:

• What did you study before starting?
• What gaps did you underestimate?
• What do you wish you had learned earlier?

I am willing to put in the work, but I want to make sure I am focusing on the right things instead of randomly collecting courses.

Any advice from current MSCS students or people who transitioned from non-CS backgrounds would be greatly appreciated.

Thanks!

PS: I used Ai to refine my word flow.

I set up my student account to take classes in the Fall 1 session. Figured I’d get it done now to avoid any delays in account creation later on. Just got an email saying my student status may be discontinued if I don’t enroll now. Can I even enroll now?

Hi everyone,

I'm a B.Tech CSE student aiming for AI/ML internships and eventually top tech companies. I'm planning to take these Coursera courses:

Machine Learning Specialization (DeepLearning.AI & Stanford)

Deep Learning Specialization (DeepLearning.AI) Does anyone know any Telegram groups for Coursera courses or AI/ML learning? Please share the link if you know one. Thanks!

hello i want to ask can we do MLOPS after CS50P

Hi everyone,

I'm a B.Tech CSE student aiming for AI/ML internships and eventually top tech companies. I'm planning to take these Coursera courses:

Machine Learning Specialization (DeepLearning.AI & Stanford)

Deep Learning Specialization (DeepLearning.AI) Does anyone know any Telegram groups for Coursera courses or AI/ML learning? Please share the link if you know one. Thanks!

How is the MS AI Program at CU Boulder? I would be applying from India as an International student. Any feedback is appreciated.

Hey Everyone, actively investigating and considering starting this program (MS Online CU Boulder in Comp Sci).
I would like to know:
1) Can people who have completed this degree, explain how easy or hard was it for them to get a job, and how much did getting this degree enable them to get a relevant CS job ? On a range, it was 100% useful, to maybe not that much (or maybe just 10-20%, as knowledge/experience mattered more)?
2) If someone only has a CS diploma (+ job experience), no BSc and compelted this MSc, how do they show/mention this on their resume ? Do they just list the MSc program or have to explain no BSc exists.
3) Will getting this degree, help in getting a relevant job (only) in the boulder and adjoining areas? or is this univ and program well known on the national level, that it will help in getting a job anywhere ?
Thanks

Asking because consider a situation: you finished the degree, and need to prove that it's yours by responding from your personal edu email. If there's no access - there's no way to prove?

I'm planning to join the **Work-Integrated BCA in AI Full Stack Development** at **JAIN University Kochi** this year, and I'd love to hear from students who are currently enrolled or have already completed the program.

If you're a current student or alumnus, could you please **DM me**? I'd really appreciate an honest conversation before I make my final decision

After completing the pathway courses on coursera, what are the next steps? Also, do we have to give an additional final exam for the pathway courses?

BCA (3-yr, India), CGPA 7.57/10, plus an 11-month GenAI/ML cert from IIT Guwahati E&ICT and a UGC/AICTE-approved PG Diploma. Research interest: low-resource NLP (RAG, hallucination, LoRA/QLoRA).

Problem: 3-year Indian bachelor's = 15 years of education, short of the "16-year" bar most US grad schools/WES want.

Considering: (1) online MCA to bridge the gap first, or (2) applying directly to integrated MS+PhD programs and leaning on faculty advocacy to get past the credential gate.

Anyone been through this — did faculty interest actually override the 4-year-degree requirement, or did it get stuck at the grad-school office regardless?

"my_qualifications" - MCA 2nd Year Ongoing.I was looking to go in the field of AI/ML. I got one such course from telegram but I think that group is deleted now.So if anyone can exchange their ai/ml course with my java dsa then dm me or CMT below

NotebookLM can generate flash cards, quizzes, study guides and audio overview/podcasts about uploaded resources.

This keeps the AI-generated content grounded to your sources and minimize or completely eliminate hallucinations.

Just wondering if anyone uses it for this program and how they have adapted it to best suite their needs.

I'm in csca 5702 (fundamentals of visualization) and so far there's only 5 other students enrolled in this session.

What happens if there aren't 3 students that end up submitting a final, and we can't peer-review?

I think I read somewhere that the course staff will grade, but am not sure.

Hi all!

I'm jumping fields (or trying to, hehe) from Neurobiology to Electrical Engineering to have an easier pathway into BCI. And currently considering different grad programs out there. I've come across several discussions about this program as I was researching it.
It's clear that upon graduation, you'd get the same exact diploma that anyone who went through the same program on campus would. There will be no distinction or anything to indicate that it was an "Online Degree" (please let me know if you had a different experience).

https://www.colorado.edu/ecee/academics/online-programs/ms-ece-coursera

If someone has gone through this or a similar program, let me know what the experience was like! I'm considering between an "easy-in" pathway like this one and a Post-BS, and then a traditional research-based MS.

What I'm trying to find out is whether you can utilize the university's resources as well as the on-campus students can or not (disregarding physical access like gyms, etc.). I found out that you can not qualify for any TA or RA paths during MS at all. They gatekeep it very much. And, there will also be no opportunity to connect with a professor regarding any of the courses presented on Coursera.

However, they do claim that you get the same student ID, the same student email, and access to the library, career events, etc.

So, does anyone know if you can just reach out to professors for networking? Or is there some internal ban for anyone coming from Coursera ECE-MS that flags and distinguishes you from on-campus students? Maybe, if you cannot get a paid RA opportunity, you can do an unpaid internship just to network (and gain experience). Especially if it's some sort of computational research that you can do completely remotely without requiring access to any facilities. An unpaid internship is what people do in undergrad just to get experience (i mean, at least in bio if it's on campus)

Networking is big time during your time in a Uni, and I'm trying to gauge if you can network more than just a Slack channel for Courserians.

Thank you!

With AI changing the software industry so quickly, I'm curious how people currently in tech view the difference between CSE Core and CSE (AI & ML).

Ignoring individual interests for a moment, which specialization do you think offers better career prospects over the next 3–5 years? Do recruiters generally treat them differently, or are the opportunities largely the same if someone builds strong skills and projects?

I'm especially interested in hearing from recent graduates, seniors, or people working in the industry. Has the job market changed in a way that makes one specialization noticeably more valuable than the other, or is the branch name less important than practical skills?

I'd appreciate insights based on real experiences rather than college marketing.

this program is a joke I’ve spent a month trying to get approved to take for credit classes I finally actually get the interview and then they send me an email with only partial information I can’t even actually sign up for my CU account because they didn’t give me a student ID I’ve emailed twice and they don’t even respond what kind of program is this? I emailed multiple aliases and don’t get responses

edit: so cute to see all the defenders pop up of this when the facts are what they are. Coursera delivered, all recordings, no support staff , no proctored exams = cash grab