I would recommend you to spend some time, understanding machine learning and deep learning fundamentals before gunning for LLM'S etc.. 
 To be honest, it's really hard to mention all the topics here.if you have any other social network id I can send you the link for a really good course.(which I personally used to crack ML engineer roles).

Software Engineer

Machine Learning Engineer

Hi guys, I am a Backend Engineer, with the evolving trends in AI and ML , I want to make myself familiar with things like Machine Learning, Deep Learning and LLM stuff. would appreciate free resour...

Welcome to Software Engineers's Private Community

Hi guys, I am a Backend Engineer, with the evolving trends in AI and ML , I want to make myself familiar with things like Machine Learning, Deep Learning and LLM stuff. would appreciate free resources or a path.

Thanks

🙏 

Also do share your experience moving into these domains.

Free Resources to learn and break into AI/ML domain

Free Resources to learn and break into AI/ML domain- Grapevine

Welcome to Data Scientists's Private Community

Hey everyone, 
As the title suggests, I'm looking for resources to learn ML/AI just for the sake of learning, and potentially doing projects of my own with the knowledge I learn. 

I'd appreciate any responses on the same!

Background: Product. I try and learn about engineering stuff regularly. :)

Learning ML/AI for the sake of learning

Product Owner

Anyone got recommendations for GenAI/LLM/diffusion models courses/books?
Research papers/GitHub repos are also okay as long as it's good.
Also anything on deployment/end user apps for LLMs?

I got a week off might as well catch up on reading.
Thanks

Books/resources for GenAI?

Founder

Suggest a good way to learn AI.

How long would it take to learn Ai/ML from Scratch for fresher

AI/ML fresher

Welcome to IT Company Discussion's Private Community

What courses or learning should I pursue to enhance my knowledge in AI interms of real-time  applications , I'm currently  a .Net developer  with 4 years of experience.

Professionally  learning AI

Software Developer

2022 graduate here, working as a software engineer.
I feel that software engineering has less to do big in future compared to Ai/ML. Need your thoughts on what are my possibilities and pros cons on choosing different paths.

1. Stick to software engineer, will get promoted in some time and i can utilise some skills developed during this year and past internship. 

For next two paths, i will need to study as I don't know much about Ai/ML. Please suggest resources and way if you thing these could be good.

2. Switch teams in Google to some Ai/ML team.

3. Switch firm to some startup on Ai and can learn more things there. If this, then are companies out there how can will consider my this experience, i would want more pay than what i am earning as of now.


Happy to read all the comments and your pov.

Software Engineer or Ai ML

Hello, im a  first year PG student studying AI& ML. I want to up skill myself and be industry ready in the next 4-5 months and how do i do it? I feel very overwhelmed and lost at this point. Can someone guide me through things?
Thank you

How to get better in ML Domain

Hey people of Grapevine,

I have an MBA in finance and I'm currently working as a QA data analyst at Wells Fargo.
I have a previous 1 year 3 months workex as an Android developer in a startup company (I'm a CS undergrad).

The current role I'm working in requires coding in python to automate Excel files we get to check certain data standards for compliance and validate Excel files based on some standards. Mostly even manual validation of excel files. 

I want to switch my job to work in good ML projects with finance as my domain, for this I have made a strategy:
1. Get a FRM level 1 certification (for the CV to get shortlisted)
2. Learn ML on Kaggle and solve problem sets as a way to prepare for the interviews of ML roles.
3. I'm considering to get an FDP certification as well. (https://fdpinstitute.org/Curriculum-Overview)

My concerns now are:
1. Is the above a valid startegy to crack a fin ML role? (please suggest if anything better)
2. Is FDP a good certification (I know it's not much heard of, but the curriculum is good)
3. What kind of companies and roles can I apply for if add these CV points and if I can get skilled in the above? 

Please do give me your inputs. Any kind of suggestions are appreciated.

Strategy to convert an ML role

Data Analyst

Hello all,

I am a 2023 graduate and started my job around 2 months ago in the data science field. Everything is going ok till now but now I want to go deep into the data science field as I am feeling that I am not learning enough. I am currently working in the NLP field, any suggestions on what courses can be done or what topics to explore more from the experienced folks would be helpful. Any course suggestions that can explain from scratch to intermediate or advanced level are welcome (paid or free)


Thanks 😊

Confused on what to do

I’m a mid-career generalist with most of the experience in Operations roles. 

I believe that upskilling in AI is very important. Looking forward to your suggestions around courses that are 
a) helpful in building knowledge grounds up 
b) fairly recognized by the recruiters and adds value to the CV. Course certificates that boost your opportunities for the years to come. 

Personal anecdotes, recos and contrarian views are welcome. TIA.

Best courses in AI

Growth Manager

Welcome to Indian Startups's Private Community

Currently working as a frontend developer, I am want to switch into backend technology or DevOps. Seeking guidance on the best approach to make this shift. Any insights or advice would be highly appreciated. Thank you.

How i can switch my tech stack?

Hey guys, so I have been interning at a company for the past 9 months. They have offered me a ppo and I will most likely accept it. But my interest lies in the ML field or some data fields such as data engineering. 
Can anyone advice me how do I go about it?
Like should go for masters(my undergrad degree is not CS or some pheonix branch). Should I learn on my own and keep giving interview. Or should I take some experience in sde and then switch?
Thanks in advanced

Advice for switching from SDE to ML/Data fields

I am to move into an ML platform engineering team a few months down the line.  Most job opportunities for an ML platform engineer mentions strong knowledge of kubernetes, Kubeflow/ML flow, API design and deployment along with coding language(usually Java, python or Go). 
Are there any must read resources which could help me while upskilling for this role? I already have access to O'Reilly and have read and practiced most of the exercises on Kubernetes.

Resources to upskill and move into ML platform teams

Data engineer

There's so much happening every day. I never really like the AI/ML courses of college (lol) but want to actually try the new stuff now. What'd you say is the best way of at least knowing the basics of whatever comes up daily?

I know I could just google (and I will), curious to know if y'all know of something which defines the base vocabulary needed to actually understand the daily breakthroughs.

Few things I've been meaning to know more about

- RLHF
- Fine tuning (what and how)
- LLM structure (should have kept up with LLM basics but I didn't lol, pls share stuff)

- LoRA/QLoRA (?? idk lmao)
- RAG (vectorisation of inputs + cosine similarity with query?)
- Mamba architecture (1. what, saw on twitter, no idea)

Currently downloading https://ollama.ai/ to try running llama locally.

Any links/pointers/newsletter archives appreciated

Staying up to date with AI happenings (how)

I am an ML enthusiast and have been learning Reinforcement Learning and other Algorithms to shift my profile to ML engineer. But as soon as I started applying for jobs, every job is looking for people who have experience in GENAI, LLMs, etc. So I want to know, how can I become one?

How to become a GenAI Developer?

With a lot of things and hype around AI, I am having real FOMO. I want to start learning about AI and planning to do some mini projects involving the latest LLMs and Other AI library. 

Could anyone suggest plan or resources on How do I start my journey in AI and learn generative AI

Learning AI

Hello all,

I am a 2023 graduate and started my job around 2 months ago in the data science field. Everything is going ok till now but now I want to go deep into the data science field as I am feeling that I am not learning enough. I am currently working in the NLP field, any suggestions on what courses can be done or what topics to explore more from the experienced folks would be helpful. Any course suggestions that explain concepts from scratch to intermediate or advanced level are welcome (paid or free)


Thanks 😊

( Reposted from my own post in the Software Engineer Community)

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