The AWS Certified Machine Learning — specialty certification is intended for folks that perform an improvement or data science position. It validates a candidate’s capability to design, implement, deploy, and hold machine learning (ML) answers for given enterprise problems.
There are heaps of jobs related to Machine Learning and Data Science. With a boom inside the range of jobs, competition is growing as well. So, whether or not you need to get a job, shift your career, or get a promotion, you want something which can separate you from the mass. This is wherein this certification comes into play. It certifies one’s functionality to build and deploy machine learning (ML) answers the usage of the AWS cloud. It additionally tests the know-how of core ideas related to machine learning. (So, it isn’t always only about AWS cloud, but you furthermore might want a deep understanding of system gaining knowledge of algorithms).
This post covers:
- Who is AWS certified Machine Learning Specialist?
- AWS Machine Learning – Specialty Exam Goals
- Exam Details
- Exam Topics
- Who This Certification is for?
- Exam Retake Policy
- Benefits of the AWS certified machine learning certification
- FAQ’s
“According to the report by Paysa, the Amazon Machine Learning Scientist average salary is $214,484.”
Who Is AWS Certified Machine Learning Specialist?
An AWS certified Machine Learning Specialist helps organizations in building, implementing, deploying, and maintaining ML solutions for business problems. Legitimize the suitable ML approach, Identify the right AWS administrations, and secure solutions of ML.
AWS Machine Learning – Specialty Exam Goals
AWS Certified Machine Learning – Specialty exam goals are:
- Validate one’s capability to the building, implementing, deploying, and keeping ML solutions for enterprise troubles.
- Choose and legitimize the precise ML method for given business trouble.
- Identify the proper AWS administrations to implement answers to ML.
- Layout and actualize versatile, value-streamlined, dependable, and secure solutions of ML.
Exam Details
- Certification Name: AWS Certified Machine Learning – Specialty
- Exam Duration: 180 minutes to complete the exam
- Exam Cost: 300 USD (Practice exam: 40 USD)
- Exam Format: Multiple choice, multiple answers
- Exam Language: Available in English, Korean, Japanese, and Chinese
- Number of Questions: 65 (approx)
- Passing Score: a minimum passing score of 750 out of 1000
- Validity: 3 years
You can schedule your AWS Certified Machine Learning – Specialty exam by going to the official site.
Exam Topics
The AWS Certified Machine Learning – Specialty exam focusses on the following 4 domains:
1) Data Engineering (20% of Examination)
This segment should be quite sincere for everybody who has reveled in working with the AWS big data stack or has previously taken the big data AWS Certification. The main data engineering services are:
- AWS streaming tools
- Kinesis Firehose
- Kinesis Analytics
- Kinesis Data Streams
- Storage/Database
- S3
- RDS
- DynamoDB
- AWS Analytics stack
- Athena
- Glue
It isn’t critical to understanding most of these tools in wonderful detail, however, you may need to understand what all of them do and when they should be used.
2) Exploratory Data Analysis (24% of Examination)
This segment of the exam isn’t specific to AWS, it’s about cleaning data and feature engineering such as:
- Normalization
- One-Hot encoding
- Handling missing values
3) Modeling (36% of Examination)
This segment of the exam focuses on SageMaker that is AWS’s signature fully managed ML service. However, most of the questions require an understanding of the ML concept (outside of AWS) consisting of algorithm selection and tuning deep learning models. The main part of this segment is:
- SageMaker algorithms
- Model tuning concepts
- regularisation
- learning rates
- dropout
- gradient descent
- Model metrics
- sensitivity
- accuracy
- specificity
- F1
- recall
- Optimization techniques
4) Machine Learning Implementation and Operations (20% of Examination)
This segment of the exam focuses on machine learning solutions for:
- Performance
- Resiliency
- Scalability
- Fault tolerance
- Basic AWS security
- Deploy and operationalize
Who This Certification Is For?
AWS Certified Machine Learning – Specialty exam is for:
- Candidates who are interested in Data Science.
- Business Decision Makers
- Developers
- Data Platform Engineers
- One who is pursuing to build a career in ML
Exam Retake Policy
- The candidate desires to attend 14 days earlier than they’re eligible to retake the exam.
- The candidate can take any number of examinations tries till he passes.
- For each exam attempt, the candidate needs to pay the whole registration rate. but the beta exam takers can take the exam once most effective.
Benefits of AWS Certified Machine Learning – Specialty Certification
Benefits of the AWS certified machine learning certification are as follows:
- Validates your capacity to create, train, and deploy the ML model using AWS Cloud.
- Gives you global popularity for your information, capabilities, and experience.
- Listed amongst one of the top-paying data-Tech certifications in the globe.
- Adds a credential on your resume and accordingly make you stand out from the crowd.
- Helps you to get greater opportunities to enhance your career as an AWS engineer.
Frequently Asked Questions
Q1.) How do I register for AWS Machine Learning certification?
Answer: You can book your exam by going to the visiting AWS Cloud site where you will need an Amazon account to schedule the exam so create an account and proceed with other formalities.
Q2.) How are you able to reschedule an AWS Certification exam?
Answer: You’ll be able to reschedule or cancel your exam up to 24 hours before your scheduled appointment without extra fees.
Q3.) What are the recommended prerequisites for the AWS ML Certification exam?
Answer: There’s no pre-requisite for the AWS ML exam. You’ll able to directly appear for this amazon AWS certification exam. Some recommended knowledge for the exam are:
- hands-on experience in architecting, building, or running ML/deep learning workloads on the AWS Cloud.
- Background of handling ML/deep learning frameworks.
- Basic sense and talent to specific the aim of the ML algorithms.
- Skill to try and do basic hyperparameter optimization.
- Skill to incorporate operational and deployment practices.
I hope this blog helps you in clearing your doubts regarding the AWS certified Machine Learning Specialist Exam, what are the topics covered within the exam, certification benefits, and more.
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