Hi, guys. First time poster.

I've been debating creating a online course to teach people how to create full stack web application that they can use to serve their ML models on. This course would include building the ML model itself, creating the server backend that would process user requests, the frontend that the user would interact with, as well as deploying the whole stack so actual users can use it.

Would this course be something you guys see as being useful? I'd love to get some feedback on what you guys think and feel free to ask any questions

Thanks

Hello. I realized recently that there's tuition reimbursement t my job for any work related education. I would like to take advantage of this, obviously. What are some of the best MLOps courses out there today? Either paid or free is fine by me. I know a commonly recommended one here is the Full stack deep learning course from Berkeley, but I didn't really like that one when I looked into it last year. Would appreciate any recommendations! Thanks!

So , Im a full stack software engineer with 5+ years of experience. Ive been looking into AI and learning stuff . I recently started learning about data visualizations and learned about different kinds of neural networks ( rnn , cnn , ann , auto encode , SOM, Boltzman machine etc ) .

Long story short , Ive grown to love this field so much . Now I dream about starting a career as a neural network engineer night and day .

If i wanna accomplish this , where would I start from ? what would be my starting rate ? how much experience do I need to kickstart this career ? how many technologies do i need to learn ?

I appreciate all of your inputs. Thanks

I’m aiming to become highly skilled in both AI/ML and full-stack development, with the goal of being able to design, build, and deploy AI-powered products entirely on my own.

If you were starting from scratch today and had 6 years to reach an advanced, job-ready (or even startup-ready) level, how would you approach it?

Specifically interested in:

• Which skills and technologies you’d focus on first.

• How you’d structure the learning timeline.

• Project types that would stand out to employers, clients, or investors.

• Any pitfalls you’d warn someone about when learning both tracks at the same time.

Looking for input from people who’ve actually worked in the field — your personal experience and lessons learned would be gold.

Hello,

I've spent the last 6 years working on technology projects. I work for a government where due to lack of trained staff, I essentially work as the architect, designer, developer, tester, database guy, etc. Basically I build and maintain the full stack and deploy enterprise Java / web / Python technology-based solutions that are used internally by the business. I love what I do, but big data and deep learning fascinate me.

Outside of work, I have been able to teach myself the basics of deep learning - to the comfort level where I've been able to build my own functioning system using an LSTM (using Keras) to make predictions on time series data that I feed it. I understand the basics of how this works, how the network functions, and how to manipulate, prepare the data, and interpret the results.

What would be the best path forward to transition to a career with this technology? I would be very interested in working with this tech on a larger scale to build real-world transformative applications. I see this as the future, and a lucrative career path.

My understanding is that my bachelors of computing may not be enough on my resume to build a career in this industry. Does anyone have any suggestions on what I should do to make myself more hirable in this domain? Do I need to get a Masters or PhD? Or is there a less time consuming and inexpensive path forward?

Thank you in advance!

I see the term "full stack ml engineer" pop up more and more. I'm curious what people feel is the minimum requirement to be able to call oneself that with a straight face. And also if it's really a trend we're seeing or just a temporary buzz word.

To my mind, when I think of a full stack ML engineer you need to have a 3 out of 5 or better proficiency in these areas

• DevOps

• CloudOps

• MLOps

• Data Science

• Data Engineering

Depending on the specific job/company you can probably get away with a couple of 2s in there. Curious what other people are thinking, and if you think we are moving toward or away from full stack roles in ML.

if you need help/consultation regarding your ML project, I'm available for that as well for free.

I am a student already I learn python basics and numpy basics now I had some doubt that , learning the full stack development is better for AI development or I just learn AI?

Hi all,

I’m a data scientist who knows quite a bit about training models. I am trying to move into full-stack ML engineering. I started doing my AWS certifications, but those are not teaching much besides AWS stuff.

I want to learn things like:

Building complete ML pipelines (features, training, inference)

MLOps (CI/CD for ML, monitoring, scaling)

Deploying models (Docker, Kubernetes, cloud)

Setting up the infrastructure for ML workflows

Automation

I’m looking for books, courses, or project ideas to help me learn. Does anyone have any recommendations or advice? Thanks

I want to experience a complete ml cycle right from scratch, any good educational content or books that can help?

i'm a first yr clg student tryna get into AL/ML. I know basic front end and backend and I also know python well, im currently learnign full stack and, i bought a paid cource and ive made pretty good progress in it, but the thing is that i'm really fed up with this sht, i dont like doing web dev, I dont find it interesting enough, it is so boring. but i've heard people say that u cannot survive only by knowing AI/ML, u need full stack knowldge to apply it, this is the only thing that motivates me to do web dev, i just wanted to know how much of this is true, can i make money just with ML knowledge, i am aslo tryna get into the upcoming google summer of code program, my goal was to land some kind of a remote intership/job for a fullstack role but im done with full stack, can i still get a job if i only know ML, is there freelance opportnities ?, pls help, ive been thinking about this for quite a while