AWS Certified Machine Learning Specialty 2022 - Hands On!

Psychology actually developed several useful statistical techniques, so try to take some statistical psych classes if available

1. R is fine. It's either R or Python. You don't need both
2. learn Bash or a similar command line tool
3. learn SQL so you can query databases. Preferably "analytic" SQL, like group by, window functions, pivoting
4. learn a workflow tool (Make, Airflow, AWS Step Functions, MLFlow, etc)
5. Taking a cloud ML cert isn't a bad idea (I have AWS ML cert, used this course https://www.udemy.com/course/aws-machine-learning/)

From a hiring perspective I honestly think any cloud ML cert would be pretty equivalent. It's not hard to transition once you have fundamentals of one cloud down.

AWS is the industry leader from a cloud provider perspective and Sagemaker is great. A good course is this one https://www.udemy.com/course/aws-machine-learning/

Azure is gaining ground on AWS but I think their data science offering is still a bit messier. A couple years ago they were all in on Databricks but now they are shifting a bit to Azure ML I think...haven't used Azure recently.

GCP is the underdog in the cloud space but they are good for ML, especially in terms of pre-trained models. Bigquery is also awesome. However, they're data science offering is constantly changing. They've just switched to Vertex AI, which is great but has various bugs still and it means their ML cert is based on outdated tools now. Not that you were considering GCP but it is probably right to not consider a GCP cert for the time being.

I just passed my Machine Learning Specialty exam last month. I now have 11 out of 12 AWS Certifications, including the already deprecated Alexa Skill Builder certification.

I always want to learn Machine Learning and this one proves to be a challenging test to conquer. Lots of Amazon SageMaker scenarios and odd ML services that I haven't had experienced at work before, which makes it exciting to be honest.

The exam is just like the meme above, it's a combination of statistics and computer science. You should know the ML basics, and the advanced models/classifications and AWS tools. You have to understand if the model if over or underfitting. If it is a binary/multiclass classification including churn prediction and k-nearest neighbors algorithm (k-NN).

Focus on all the facets of the Amazon SageMaker service. Lots of questions on this service.

For my exam prep, I used the following resources:

- Exam Readiness: AWS Certified Machine Learning - Specialty (Best FREE resource) https://www.aws.training/Details/eLearning?id=42183

- Tutorials Dojo practice tests: https://portal.tutorialsdojo.com/courses/aws-certified-machine-learning-specialty-practice-exams/

- Stéphane Maarek and Frank Kane's Udemy video course and practice tests https://www.udemy.com/course/aws-machine-learning/

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If anyone wants to start taking the ML exam, I highly recommend the free Exam Readiness: AWS Certified Machine Learning - Specialty course from the AWS website. This is superb and highly interactive.

Another kudos to Tutorials Dojo for their detailed explanations with extensive coverage on different Amazon SageMaker features. I also appreciate the custom diagrams / visual aids they have to visualize the scenario. Stephan + Frank course is a good resource too, though their practice tests need more coverage.

Also check out this detailed review video:

https://www.youtube.com/watch?v=m3oYpYB-640

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Only one left is the SysOps exam, and planning to take it sometime this month. In my opinion, it's good to learn Machine Learning, considering the fact that AWS is now adding ML capabilities to their AWS services, such as Amazon Aurora Machine Learning, Amazon RedShift ML etc. Also helps future-proof your skills/career too!

Here are some resource I have:

• official exam guide and practice questions
• AWS Ramp-Up Guide: Machine Learning
• Study Guide by ravi kirans
• Getting Started with AWS Machine Learning - free course on Cousera
• AWS Certified Machine Learning Specialty 2020 - Hands On! - Udemy now $9.99
• Free AWS machine learning online courses
• Amazon Sagemaker

What exactly do you mean by "cloud computing ML frameworks"?

The frameworks (tensorflow, keras, fastai) - are the same, local or cloud. I think what you're referring to is basically using cloud for ML.

If so there are 2 parts to it:

1. Training
2. Deployment / inference

Training is done the same locally or in the cloud, except for a few extra steps due to SSH. Here's a simple tutorial. If you want something more advanced, end to end, I know this dude does nice courses on AWS. They're a bit theoretical tho (like he's not a practitioner).

Mind that AWS also has an "autoML" solution called Sagemaker. Probably not what you want if you're a CS grad.

Deployment / inference - once you have your model you put it on a server and create an API. Here any tutorial to build a webserver should do + you simply upload your model with the rest of the code. I did this course on deploying ML at some point and enjoyed it. You could also look into serverless / lambda for ML deployment.

Alternatively to all this, if you just need to cheaply and quickly train your model check out https://gpu.land/. It's a little side project that I built. We offer Tesla V100 instances at dirt-cheap prices ($0.99/hr for 1x Tesla). That's 1/3 of what you'd pay at GCP/AWS/paperspace!

If you get any questions, let me know! Happy to help!

Recommendations for AWS Certified Machine Learning Speciality exam preparation?

I'd like materials targeted at the exam.

I would particularly like practice tests, with clear explanations for right and wrong answers. I have found these, and will appreciate appraisals of their quality: Sundog@Udemy, Singh@Udemy, Ahmed@Udemy, ExamRealSkills@Udemy (Course&ExamPrep), Frlez/Udemy, Whizlabs

I'll appreciate appraisals of course materials. I have found: Sundog@Udemy , ACloudGuru, AWS's own training, Coursera, and Linux Academy

Is there a good book? Mengle Mastering Machined Learning on AWS is the only one that I have found

>Thanks!
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>You seem to have to great foundations to pass this exam! Should be easy for you if you are familiar with both ML and AWS. As for rank, my opinion on ranked list from best to worst is:

1. https://www.udemy.com/course/aws-machine-learning-practice-exam/
2. https://www.udemy.com/course/aws-machine-learning/
3. https://www.whizlabs.com/aws-certified-machine-learning-specialty/practice-tests/
4. https://acloud.guru/learn/aws-certified-machine-learning-specialty

IMO the practice tests are best bang for your bucks. They really give my some indication where you are lacking in skills and knowledge. ML part is quite easy with this test if you are familiar with basic ML and DL algorithms.

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Best of luck on your studies and test!