After watching so many Stephane Maarek's courses for several of my AWS certifications, I can honestly admit that I may not remember any of the certification materials a few years from now, but I will surely remember the phrase "I hope you liked it, and I will see you on the next lecture" for the rest of my life.
"You cant just sit infront of the screen watching lectures all day, you need to take on some projects". This is INCREDIBLY true. Really reinvigorated this for me! Also you are 100% correct about the maths.
Thanks dude! Passed 91% with your tips Also, I should mention the AWS Academy on your Training and Certification account has free courses and free mock exams.
Thanks for the great content. Currently a SE intern but working on a team with a machine learning project so a lot of AWS and ML is new to me. After I get certified developer associate, I think I will take a similar route as you and complete Ng’s course and Stephane’s course!
Sounds like a plan! This is almost exactly the path I followed. If you finish all that and enjoy it I'd recommend looking at SA Pro afterwards. It really put AWS in perspective for me and made me realise I had a long way to go! Best of luck on this never ending journey :)
House prediction is one of those classic intro-to-regression type problems, so it was pretty cool to see a real-life production system and how much more complicated it was than the examples :) on the whole the Andrew Ng course was fantastic though
The only guaranteed way to pass AWS ML specialty is - Read the following books: 1. Tom Mitchell 2. Russel and Norvig 3. Statistical Methods by N G Das Some past experience with ML Khanna will be advantageous.
Thanks for sharing the insights. (just finished 3 aws associate level certs) and now starting this ML journey. ...There is another course by frank kane (ML with Python).. I'll first finish that and then move to Frank kane+Stephane AWS ML course...Targeting March 2021 for exam. Thanks again Patrick.
Sounds like a good plan! I'm a fan of anything Frank Kane puts out so good to hear he's got a Python course as well. Keep me updated on how you progress!
Loved the real estate project idea, undertand you are under NDA , can you please guide to about the project perhabs the variable that went into it , the models ,t he optimization , how CNN was used ( as u mentioned u have images of houses annd if theres an image of ac then then say is_Ac =1 as a variable ) : may be a github repo link or any direction would be helpful .
Hello dear Patrick. Blessings, hope you and dear family are in good health. So, I would like to get your opinion about this: I will apply to a Udacity scholarship program, but first need to know what is the main difference between: 1. AWS Machine Learning Engineer Scholarship Program Program options Machine Learning Engineer and 2. AWS AI & ML Scholarship Program? Program options AI Programming with Python Of course, the first one is ML, but the second one says ML, too. I would like to know if the AWS AI & ML includes all from AWS ML. So, I have asked to client support, but no answer. Do you know based on your previous experience? Greetings!
Hi Patrick!! Great video!! Thanks for the insights...I have recently passed the Foundational Cloud Practitioner (AWS CLF-02) exam but I have basic knowledge in Machine Learning through my personal projects. Would you recommend me going for this exam if I dont have industry experience?
Not sure what you mean. You can enrol to do the exam any time you like, though normally you'd do it somewhere between a week and a couple of months before the date you plan to take it. The exam isn't discontinued or anything, so it'll be available for the foreseeable future.
@@PatrickB1111 I am going to take my Cloud Practitioner Exam this week (my end goal is to get the Machine Learning Specialty) and wanted to know if you think I should do the Solutions Architect Associate next or go straight to the Machine Learning Specialty?
Awesome video and cheers for the content; although I think math isn’t too important for machine learning. To requote Yann LeCun, “the math of machine learning is sloppy”. If the math of Andrew Ng is too heavy, then switch over to Laurence Marooney on coursera. Machine Learning is easy and its the mathematicians who are complicating it, not the cs blokes.
Hi Patrick .. I have started learning machine learning now .. I have never worked on aws earlier but I want to crack the aws machine learning exam(may be in 1 year) ... please let me know what all certifications/courses on aws needs to be done prior to starting with this course. Thanks in advance!!
Hi Mounica, I'd recommend you start with Solutions Architect Associate (video on this on the way!). That's the only real prerequisite, but any other associate or professional certs you can do will certainly help. The most important thing is to have a good understanding of AWS in general (which SAA will give you), since it's all expected knowledge for ML specialty. Don't forget to focus on machine learning itself, as many of the questions relate to tricky machine learning scenarios that don't actually have anything to do with AWS.
You could, and that's what I did, but in retrospect I think I would have been better off doing SAA first. CCP is just too easy, and it's a subset of SAA so you'll end up covering all of the content twice.
I have been working on ML from last 3 years ..I am confident about my ML concept but I have 0 knowledge on AWS Can I directly take Aws machine learning speciality certification
Nope... to pass the exam you have to really know your way around both machine learning in general and AWS machine learning specifically. That means SageMaker, S3, Kinesis, SageMaker, all the managed ML services (Rekognition, Forecast, Personalize, Polly, etc) and did I mention SageMaker? If you know EDA, Jupyter notebooks, hyperparameter optimisation, etc then you'll be a good part of the way there, but you still need to learn the AWS side. I'd recommend doing Solutions Architect Associate first (use Adrian Cantrill's course: learn.cantrill.io) and then follow Stephane Maarek's course that I've linked in the description of this video for the ML cert.
This video shares no secrets. Basically, you where already an intern (more likely with a degree) who was getting practical experience. You took a handful of online courses to fill any knowledge gaps and then scored a 900+, big surprise. Already have a degree? Already an Intern? Then you too can score big on that AWS exam if you take 5 different courses, just like me!
That attitude is not gonna get you very far mate... there are no secrets here, and if you're looking for them you're focussing on the wrong thing. Anyone who earnestly follows the resources I've set out has a very good shot at the exam, degree or no degree. Experience is almost mandatory though, so if you don't have any then create your own in the form of side projects. I am sensing a bit of a victim complex here. You might want to have a think about that, it's not doing you any favours.
@@PatrickB1111 I'm not looking for any secrets, just some proper resources. Instead this guy misleads us with a video about his "journey" without giving us any real inside as to what to expect, maybe what to study. 🤷♂️
After watching so many Stephane Maarek's courses for several of my AWS certifications, I can honestly admit that I may not remember any of the certification materials a few years from now, but I will surely remember the phrase "I hope you liked it, and I will see you on the next lecture" for the rest of my life.
"You cant just sit infront of the screen watching lectures all day, you need to take on some projects". This is INCREDIBLY true. Really reinvigorated this for me! Also you are 100% correct about the maths.
Glad that one hit home for you! What project(s) are you working on now or plan to?
Stephane Maarek's courses are really good. Not surprised you mentioned him.
Thanks dude! Passed 91% with your tips
Also, I should mention the AWS Academy on your Training and Certification account has free courses and free mock exams.
Nice work, that's a fantastic score! How did you find the AWS Academy courses compared to Stephane / Mike Chambers / ACG?
Thanks for the great content. Currently a SE intern but working on a team with a machine learning project so a lot of AWS and ML is new to me. After I get certified developer associate, I think I will take a similar route as you and complete Ng’s course and Stephane’s course!
Sounds like a plan! This is almost exactly the path I followed. If you finish all that and enjoy it I'd recommend looking at SA Pro afterwards. It really put AWS in perspective for me and made me realise I had a long way to go! Best of luck on this never ending journey :)
Thanks Patrick I'll take my time and learn about it and then go for the certification and update my results in future.
Great content and explanation
Sounds like a plan Manu! Glad you found it helpful
Using ML for aiding in price prediction at the internship sounds great as I recall that was an early example in the Andrew Ng course
House prediction is one of those classic intro-to-regression type problems, so it was pretty cool to see a real-life production system and how much more complicated it was than the examples :) on the whole the Andrew Ng course was fantastic though
@@PatrickB1111 ]p]
@@PatrickB1111 ppp]]
The only guaranteed way to pass AWS ML specialty is -
Read the following books:
1. Tom Mitchell
2. Russel and Norvig
3. Statistical Methods by N G Das
Some past experience with ML Khanna will be advantageous.
Thanks for sharing the insights. (just finished 3 aws associate level certs) and now starting this ML journey. ...There is another course by frank kane (ML with Python).. I'll first finish that and then move to Frank kane+Stephane AWS ML course...Targeting March 2021 for exam. Thanks again Patrick.
Sounds like a good plan! I'm a fan of anything Frank Kane puts out so good to hear he's got a Python course as well. Keep me updated on how you progress!
Did you finish?
Thanks Patrick! That was awesome content 👏
Thanks, I appreciate it!
Excellent content, man. Thanks
Loved the real estate project idea, undertand you are under NDA , can you please guide to about the project perhabs the variable that went into it , the models ,t he optimization , how CNN was used ( as u mentioned u have images of houses annd if theres an image of ac then then say is_Ac =1 as a variable ) : may be a github repo link or any direction would be helpful .
this is the one I was waiting for! Great content!
Thanks Daniel, appreciate it! Can't wait to hear how you go on the exam 🤙🏻
With AWS machine learning speciality, what type of jobs could you go for afterwards? Or what jobs could you potentially get with the ML speciality?
Super great video. Approximately, how much did the entire thing cost you?
Hello dear Patrick.
Blessings, hope you and dear family are in good health.
So, I would like to get your opinion about this:
I will apply to a Udacity scholarship program, but first need to know what is the main difference between:
1. AWS Machine Learning Engineer Scholarship Program
Program options
Machine Learning Engineer
and
2. AWS AI & ML Scholarship Program?
Program options
AI Programming with Python
Of course, the first one is ML, but the second one says ML, too.
I would like to know if the AWS AI & ML includes all from AWS ML.
So, I have asked to client support, but no answer.
Do you know based on your previous experience?
Greetings!
Hi @Patrick, Do you recommend directly going towards ML Specialty exam or a foundational exam is a must?
Hi have the same question. Did you found an answer since then ?
@@valentind.5398 not yet but I'm pursuing ML speciality exam directly.
@@UmerQaisar Ok, did you have any issued with not knowing the "basics" of aws ?
Hi Patrick!! Great video!! Thanks for the insights...I have recently passed the Foundational Cloud Practitioner (AWS CLF-02) exam but I have basic knowledge in Machine Learning through my personal projects. Would you recommend me going for this exam if I dont have industry experience?
Good stuff. Thanks.
Great work!
Do u suggest giving aws assosiated developer or solution architect certificate before machine learning certificate . I m beginning in aws with CCP .
Yes, I recommend going for at least one associate cert (preferably all of them) before moving on to specialty/professional.
I want to know the exam I need to take before taking this exam. I am already done with the foundation exam.
Hi Patrick...Is this video still relevant for 2022?
Thanks Patrick! Will start with Fundamentals course and learn some math hah.
You got this!
hi, can I use calculators during the exam? Is there any calculator on the computer ?
Hey bro, I heard SkyNet was hiring.👀
What is the deadline for this exam?
I enrolled it just today's back only, but didn't find any end date for this process?
Not sure what you mean. You can enrol to do the exam any time you like, though normally you'd do it somewhere between a week and a couple of months before the date you plan to take it. The exam isn't discontinued or anything, so it'll be available for the foreseeable future.
Thanks for the valuable information. I'm in Melbourne, can I get your help if I come across any problem?
is this really matter, getting 900+ ?
Did you take any of the other AWS Certifications before taking the Machine Learning Specialty exam?
Yes, I had all the associates & cloud practitioner.
@@PatrickB1111 I am going to take my Cloud Practitioner Exam this week (my end goal is to get the Machine Learning Specialty) and wanted to know if you think I should do the Solutions Architect Associate next or go straight to the Machine Learning Specialty?
Awesome video and cheers for the content; although I think math isn’t too important for machine learning. To requote Yann LeCun, “the math of machine learning is sloppy”. If the math of Andrew Ng is too heavy, then switch over to Laurence Marooney on coursera. Machine Learning is easy and its the mathematicians who are complicating it, not the cs blokes.
Nice take, I agree.
Hi Patrick .. I have started learning machine learning now .. I have never worked on aws earlier but I want to crack the aws machine learning exam(may be in 1 year) ... please let me know what all certifications/courses on aws needs to be done prior to starting with this course. Thanks in advance!!
Hi Mounica, I'd recommend you start with Solutions Architect Associate (video on this on the way!). That's the only real prerequisite, but any other associate or professional certs you can do will certainly help. The most important thing is to have a good understanding of AWS in general (which SAA will give you), since it's all expected knowledge for ML specialty. Don't forget to focus on machine learning itself, as many of the questions relate to tricky machine learning scenarios that don't actually have anything to do with AWS.
Hi @@PatrickB1111 What about Cloud Practinioer certification? Is that worth doing or you think one should start with Associate Solution Architect ?
You could, and that's what I did, but in retrospect I think I would have been better off doing SAA first. CCP is just too easy, and it's a subset of SAA so you'll end up covering all of the content twice.
hey, did you start the solutions architect??
I have been working on ML from last 3 years ..I am confident about my ML concept but I have 0 knowledge on AWS
Can I directly take Aws machine learning speciality certification
Nope... to pass the exam you have to really know your way around both machine learning in general and AWS machine learning specifically. That means SageMaker, S3, Kinesis, SageMaker, all the managed ML services (Rekognition, Forecast, Personalize, Polly, etc) and did I mention SageMaker? If you know EDA, Jupyter notebooks, hyperparameter optimisation, etc then you'll be a good part of the way there, but you still need to learn the AWS side. I'd recommend doing Solutions Architect Associate first (use Adrian Cantrill's course: learn.cantrill.io) and then follow Stephane Maarek's course that I've linked in the description of this video for the ML cert.
@@PatrickB1111 thanks for replying..this will help me in preparation 👍
Andrew Ng should be pronounsed as Andrew Urn
This video shares no secrets. Basically, you where already an intern (more likely with a degree) who was getting practical experience. You took a handful of online courses to fill any knowledge gaps and then scored a 900+, big surprise. Already have a degree? Already an Intern? Then you too can score big on that AWS exam if you take 5 different courses, just like me!
That attitude is not gonna get you very far mate... there are no secrets here, and if you're looking for them you're focussing on the wrong thing.
Anyone who earnestly follows the resources I've set out has a very good shot at the exam, degree or no degree. Experience is almost mandatory though, so if you don't have any then create your own in the form of side projects.
I am sensing a bit of a victim complex here. You might want to have a think about that, it's not doing you any favours.
@@PatrickB1111 I'm not looking for any secrets, just some proper resources. Instead this guy misleads us with a video about his "journey" without giving us any real inside as to what to expect, maybe what to study. 🤷♂️
@@Tridentor Not looking for some "cheat sheet", just some resources. This video misleads us with some sort of insight and doesn't deliver 🤷♂️