AWS Certified Machine Learning - Specialty

Build, train, tune, and deploy machine learning (ML) models using the AWS Cloud with AWS Certified Machine Learning - Specialty exam.

About the course

The AWS Certified Machine Learning - Specialty course is designed for individuals who work around development or data analytics roles. This course supplies all the necessary skills and knowledge required to constructively showcase the overall understanding of the candidate's fundamentals of machine learning. Moreover, this course also validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.



This course teaches you about core aspects such as;




● Selecting and justifying the appropriate ML approach for a given business problem
● Identifying appropriate AWS services to implement ML solutions
● Designing and implementing scalable, cost-optimized, reliable, and secure ML solutions

Eligibility :




To be eligible for this certification course it is mandatory for candidates to have a minimum of 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud.




As recommended by AWS the candidate should fulfill the following prerequisites before taking this examination:
● The ability to express the intuition behind basic ML algorithms
● Experience performing basic hyperparameter optimization
● Experience with ML and deep learning frameworks
● The ability to follow model-training best practices
● Understanding and Knowledge of deployment and operational best practices



Module 1: Data Engineering
Module 2: Exploratory Data Analytics
Module 3: Modelling
Module 4: Machine Learning Implementation and Operations

Although this certification exam can be taken by anyone who desires to upskill their knowledge and skills in machine learning, some of the titles which must have this certification to excel in the IT field are given below:



● Web developers
● Software Developers
● Business analysts
● Programmers
● Data Scientists
● Analytics Professional and
● Anyone interested in Amazon Machine Learning

Salary Insight


The average annual salary of an AWS Certified Machine Learning - Specialty is ₹ 4,544K, as for an entry-level professional the figures are ₹ 4,357K, and for professionals with senior roles, it succeeds the mark of ₹ 4,731K (approx). Source: Glassdoor.


Minimum Salary :- ₹ 4,357K


Average Salary :- ₹ 4,544K


Maximum Salary :- ₹ 4,731K

Hiring Companies






Why should you take the aws certified alexa skill builder - specialty (axs-C01) exam?

Machine Learning (ML) has become one of the highly emerging techs of today. That is due to the complexities of predictive analytics that require coding skills, mathematical concepts related to ML algorithms, and the ability to design engaging data visualizations. But the process of analyzing, understanding, and predicting outcomes using machine learning algorithms is a big challenge. Although, when AWS gets integrated with Machine Learning, it becomes all the simpler in sorting data. Similarly, AWS Certified Machine Learning - Specialty aims to put the entire world of Machine Learning with AWS in front of you and helps you in analytics projects to reality in three easy steps: data segmentation, tuning, and selection

Exam Information

The exam comprises of Multiple choice and Multiple response questions out of which the candidate needs to score 75% (750 out of 1000) to pass the exam.

- Testing center - Online-proctored exam from a remote location

The total duration of the exam is 180 Minutes.

Candidates who do not pass an exam must wait 14 days before they are eligible to retake the exam. There is no limit on exam attempts until the candidate has passed. For each exam attempt, the full registration price must be paid.

AWS Certified Database Specialty Certification is valid for a period of 3 years following the date on which you successfully pass the applicable Certification Exam.

Eligibility
To be eligible for this certification course it is mandatory for candidates to have a minimum of 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud.
Pre-requisites
-The ability to express the intuition behind basic ML algorithms -Experience performing basic hyperparameter optimization -Experience with ML and deep learning frameworks -The ability to follow model-training best practices -Understanding and Knowledge of deployment and operational best practices

Mode of Training

Online Live Virtual Classes

Designed to bring the benefits of traditional instructor-led training to the internet, with the convenience of live interactive classes and doubt sessions. 

Online Self-Paced Learning

Self-paced learning allows you to access course materials at your pace, meaning that you focus on things that you find challenging ensuring greater productivity.

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