ML Engineer Cert Review + The ONLY Study Plan You'll Need

[@JashRadia]

Hope this was useful! Let's talk about your thoughts in the comments section ❤️ PS. Thank you for 30K subs 🎉

[@sm_zackro_]

Vote for AI engineer road map>>>>>>>>>❤

[@josefernandoalvarez8067]

Useful summary, thanks for the tips.

[@pratikbhangale2982]

Jash, Thanks for sharing your review, study plan and resources. Can you please share the google document you have created?

[@parthavjoshi5437]

Would you be so kind as to share link of notes you mentioned towards the end? Structuring could really benefit.

[@JashRadia]

There is no structure apart from the 4 tabs I mentioned. I would recommend write notes anyway you like and that suits your reading style

[@Mohamed-n5d8z]

Hi Jash, out of curiosity I’m asking - could you please let me know why did you moved from DE to ML, any specific reason or did you saw any extrapolation of growth in the future comparing to DE. Please let me know you thoughts on this as I’m currently a DE you answer would be really appreciated ❤

[@JashRadia]

The reason I switched was simply because I wanted to explore ML. I was curious about it a lot. I didn't switch because I thought data engineering has lesser scope in the future or anything at all. In fact, after being an AI engineer, now I understand the value of data engineering even more! 😊

[@kk-yp1me]

Which all documentation did you read ? Vertexai, kubeflow, or all products ? Dataflow, dataproc, iam, bigquery etc..

[@JashRadia]

For ML cert, most important one is vertex ai and automl

[@vinayakjaiswal9976]

Jash , I have heard that google team have cancelled the tensorflow certification, is it true?

[@JashRadia]

Yes. Because this one includes tensirflow and more

[@ramakrishnabhupathi4995]

Do you mind sharing your notes, that you used?

[@deepnc]

I have recently completed GCP Associate Cloud Engineer certificate but I have no prior knowledge in ML. Will it be possible to follow the Coursera course or any prior ML experience is also needed before starting this course? Please suggest.

[@sunnypawar9370]

Is any suggestion for ML aspirants or fresher who work on ML? Because I completly passionate about ML and i worked on that from last 2 years but how to start job as Data scienntist or ML field plz suggest me?

[@JashRadia]

This certificate is great for freshers too. You will learn from basic level and become proficient. Since you are a fresher, it can take you more than 2 months to go through it. The courses mentioned in this video will be really useful even if you don't want to give the exam.

[@ignacioferreri7228]

Hello sr. I'm following the Google professional mle course path. Do you recommend this? Do you think coursera's can be more structured? Regards

[@JashRadia]

Yeah I recommend this but do go through a lot of documentation and exams when you're done. That course alone won't be enough.

[@smritishikha3953]

❤

[@RodoMendoza]

Do you think it is worth it the certificate? In a money and knowledge sense

[@JashRadia]

Even if you don't want to buy the exam, you can still study from the resources mentioned here and you will learn in knowledge sense. This is really useful. But the thing is, if you have already learned, then I do recommend giving the exam because it is valued in the industry especially if you're interested in ML and GCP.

[@ShahzadHassanBangash]

What GCP basic certification to be done before doing this one ?

[@JashRadia]

There is no requirement of any certification that needs to be done. But I do recommend spending more time in hands on if you're new to GCP.

[@arshith35]

Brother, I have a small doubt regarding which type of projects (like to stand out)we can add in the resume and there are some placement drives gonna happen in my college (tier 3 ) so that i can make some changes in the resume. So Please reply Asap!

[@JashRadia]

Take projects that contain some element of real time data analytics and make sure that the final dashboard is visible on a public URL

[@moorthyedec]

Dear JR, I am from academic with age of 43. How the certification will help to get into corporate? Would like to have talk with you. let me know your information.

[@JashRadia]

Hi, I have topmate channel for this. The link is mentioned in the description to book a 1:1 call

[@TopG776]

Hi , would you be kind enough to tell me the things which if a person has in there resume or tech stack , he/she is undeniable for a great role in a good company ?

[@JashRadia]

There is no one resume that works for any role or any company. The key is to customize and bring out things from you experience in your resume that resonates with a given job description. That's how you stand out and pass easily through ATS

[@BalakrishnanBMIS]

I AM still a student. can i prep for this certification?

[@meetpatel.47]

Please make video for aptitude and dsa.

[@JashRadia]

Thanks for the suggestion!

[@meetpatel.47]

@@JashRadia pls also guide for logic building from scratch in video

[@vinayakjaiswal9976]

Jash , i am in tier 3 college , is there any scenario where i can get a ML job as a fresher?

[@JashRadia]

Yes. You can get a job as a SWE in an ML team as a fresher as well.

[@mikoajkita7335]

Hi Jash! I have a question regarding the exam format. On the official website for Professional Machine Learning Engineer there is a statement on exam format: "50-60 multiple choice and multiple select questions". However, the sample questions from the official website are single choice. The sample questions from ExamTopics are also single choice. I also think that when I passed GCP Associate Cloud Engineer the questions were single choice. I am confused and don't know which source should be believed - did you get MULTIPLE choice questions on the exam? How similar were questions from ExamTopics/Udemy course to the actual exam? Very useful video, thanks!

[@JashRadia]

Yes, there are questions with multiple answers around 5-10 of them. It comes up in exam topics and the udemy course I mentioned

[@shoryabansal-qz5yr]

Hi sir I am from a tier 3 college . i have read a lot of posts saying ml engineering jobs generally require a masters degree in my case due to financial constraints i cant do masters . What role should i target swe or ml engineer . ps : your videos are a gamechanger . Thanks for those

[@JashRadia]

You should Target SWE roles in ML teams if possible, if not, you can switch to SWE-ML roles after a couple of years of experience. You do not need a master's degree for ML engineer roles, unlike data scientist roles.

[@pruthvirajk6019]

Do you have a girlfriend bro? Just asking as you'll always be studying and working, so how are you stopping yourself from getting distracted from girls. And whats your goal? Are you planning to become research scientist or a developer. Because the width of topics you cover is more in certification, and thus way of thinking would work for a developer.

[@JashRadia]

Actually I am not always studying and working 😅 I have plenty of time to do other things, too. I love gaming on my ps5 and I do that a lot. I also love travelling. I have travelled to 5 countries so far in the first 6 months of 2024 😁 In fact, this is why I have lower frequency of uploading videos on KZbin because I like to take breaks every now and then and enjoy.

[@JashRadia]

Also, I don't want to be a scientist. I always consider myself more like a developer..

[@Sami-v4s1u]

well, my friend. It depends on the time management. I have PhD in chemical engineering, all Lean Six Sigma Belts, PMI-PMP, Scrum master, Tableau &, Power BI data analyst certification with a toddler and a wife. Going for GCP next... Hope it helps.