What ML certifications have value in market place?

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.

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.

I have 8 years of experience in software and firmware development. Looking to upskill. I have been looking at courses in upgrad. But need some solid recommendations.

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.

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?

Ask me anything except my company name, or things that can reveal my identity. I may respectfully choose not to respond to your question based on my own judgement. Here’s a brief intro about me: I’ve worked as both software engineering manager & software technical architect over the last 18+ years on various tech stacks managing backend, frontend and a little bit of cloud. I have seen ups and downs in the software industry. Currently I’m working as a senior architect in one of the product based companies in India.

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.

I have 6+ YOE in AWS cloud with Python as background. I know organizations are demanding cloud technologies. But what other skills should I consider for upskilling? Just wanted to know if doing any Gen AI course will make me more demanding for the organisations ?