Is Aws Machine Learning Certification Worth It

How does AWS Machine Learning Certification Compare to the Competition?

Motorcar Learning is hot, and AWS machine learning is at the very top of the list. When compared to the other major cloud providers on SpyFu (a search keyword research tool), the term "AWS Car Learning" leads in monthly search volume* when compared to the other iv major cloud providers:

AWS car learning: 5,100
Google machine learning: 2,100
Microsoft azure auto learning: 1,200
IBM machine learning: 840
Alibaba car learning: 125

*My search was conducted January 3, 2022

GoogleTrends, show different results, with Google leading the pack and AWS Machine Learning trending up, however we could certainly raise some concerns about potential bias:

GoogleTrends comparison for machine learning providers

Gartners' Magic Quadrant for Machine Learning

According to Gartner, AWS (Amazon Spider web Services) ranks high in the machine learning "Visionaries" box, though they do (according to Gartner) trail Google and Microsoft:

In our experience as automobile learning consultants information technology is more nuanced. Each of the major ML could providers have unlike strengths. For case, Google has a fantastic speech to text offering, while AWS' visual machine learning is peak tier.

Should I go multiple motorcar learning certifications?

With different strengths from different cloud providers, one might be tempted to create solutions that span multiple ML providers, and/or to pursue multiple Motorcar Learning certifications.I would strongly recommend against this. The reason for this threefold:

The corporeality of change that is coming in the ML space is massive - sticking with a unmarried ecosystem makes it more manageable.
All the major providers take pretty adept offerings in most spaces.
All of the services are constantly being improved.

When deciding which machine learning certification to become, pick the most important tool for your needs and focus on that. If in doubt, I personally recommend the AWS Machine Learning certification, equally their overall certification program is the virtually robust.

What are the top AWS machine learning tools?

Inside the AWS Machine Learning ecosystem, at that place are a number of products and services and at that place are new ones being released every year (hither are some of the latest announced at AWS re:Invent 2021). The top 5 AWS Machine Learning tools (co-ordinate to spyfu) are as follows, with their monthly search volume:

AWS SageMaker four,200
Amazon Lex three,000
Amazon Rekognition 2,300
Amazon Transcribe 1,000
Amazon Comprehend 750

AWS SageMaker

AWS SageMaker is Amazon'southward core Motorcar Learning product, which all other ML products are based on. Information technology is Amazon'south most searched for machine learning tool.

Amazon Lex

Technically considered an AI (Artificial Intelligence) product, rather than an AWS machine learning service, Amazon Lex is a platform for building chatbots.

Amazon Rekognition

Amazon Rekognition is a machine learning prototype and video analysis engine. With out-of-the-box capabilities for content moderation, face compare and search, face detection, sentiment analysis, custom labeling, text detection, and more, Rekognition is ane of Amazon's nearly advanced machine learning tools.

Amazon Transcribe

Amazon Transcribe is AWS' speech communication to text bogus intelligence tool. Current specialized utilize cases include phone call center analytics, medical transcription, and real-time subtitles. While currently non as accurate as Google's speech-to-text, information technology is improving apace due to Alexa'south broad distribution.

Amazon Comprehend

Amazon Embrace is an artificial intelligence tool which helps extract insights from written text. Specific utilise cases include call eye analytics, sentiment assay, redaction of Personally Identifiable Information (PII), and more.

How much exercise Auto Learning Engineers make?

According to Indeed, Auto Learning Engineers in the United States make an boilerplate base of operations bacon of $131,000 per year. In my experience this would be for an engineer with a graduate degree and a number of years of experience in a related field (software engineering, etc.). Starting bacon for someone with cypher years of experience and no higher level didactics might exist in the $60k to $80k range, but compensation could easily reach the six-figure mark with a few years of experience. Information technology's just a matter of getting experience, and machine learning certification are corking qualifiers.

Is the AWS Machine Learning Certification worth it?

So, is the AWS Automobile Learning Certification worth information technology? The answer is a resounding yes. The ecosystem is robust and growing and the traditional education pathways are struggling to take hold of upward. In the United States, only Carnegie Mellon University offers a bachelor-level motorcar learning plan, and the need in the manufacture is massive. All other programs are masters or PHD level, which besides means huge amounts of educatee debt.

By comparing there is a i-fourth dimension fee of $300 for the AWS Certified Automobile Learning - Specialty exam, and the practice exam fee is US$40. The test takes 180 minutes to consummate, and preparation is generally in the range of 40+ hours. The official AWS partner machine learning training learning plan is supposed to take 34 hours and 40 minutes (something I'm currently working through myself):

Screenshot of the official machine learning plan in progress

How to prepare for AWS machine learning certification?

If you don't have admission to the partner grooming provided by AWS there are a number of online platforms that provide preparatory courses. I have no affiliation with whatever of them and I oasis't gone through them so I can't speak to their effectiveness, only my expectation is that they are all pretty skilful:

Udemy: AWS Certified Machine Learning Specialty - 10.5 hours - $99.99 (on auction for $xv.99)
A Cloud Guru: AWS Certified Machine Learning - Specialty - 13 hours - $35/month
Cloud University: AWS Machine Learning – Specialty Certification Preparation - 53 hours - $39/calendar month

I'll exist going through the official AWS grooming (35 hours worth) and then taking the exam without any other AWS certifications to my proper noun. I am, nonetheless, coming to the table with:

22+ years working in the tech space
a few university-level computer sciences classes under my belt
x+ years equally a working web developer
A few years of exposure to general machine learning concepts

Is a 35 hour crash class plenty additional exposure to get the cert? I'll let you know how information technology goes!