How You Should Prepare for Passing AWS Machine Learning Certification Exam

1. How You Should Prepare for Passing AWS Machine Learning Certification Exam? You would have heard about Machine Learning (ML) and how it, along with Artificial Intelligence (AI) is becoming the disruptive technological wave across every industry. Right from optimizing the business process, creating innovating solutions, to defining productivity scale and improving customer experience and outreach, ML is enabling businesses to change their operational model. Amazon Web Services (AWS) Machine Learning When it comes to adopting machine learning model, AWS provides a complete and highly optimized set of ML and AI. AWS helps to develop predictive applications, build models that can be applied directly into a production-ready hosted environment. AWS Machine Learning for Developers ML and AI have open new avenues of work profile for data scientists and professionals. And for such aspirants, becoming skilled in AWS ML means they become highly skilled and job ready for foraying into this emerging domain. AWS ML – Specialty Certification Exam To become eligible to work as an AWS ML professional, you have to clear the right AWS Machine Learning certification. AWS ML certification exam is one of the four specialty certifications pertaining to AWS, and as a prerequisite the aspirant is required to have passed the Associate Level exam. Apart from this, an aspirant is desired to have knowledge and skills in AWS cloud architecting, developing and deep learning, however this is not a compulsion. Passing AWS ML Specialty Certification exam validates a candidate’s competency for developing, implementing, deploying and maintaining machine learning solutions. Preparing for AWS ML Specialty Certification Exam

2. As an aspirant, having some experience in data science definitely helps to prepare for this exam. And with the right course and study, you can easily pass this certification exam without obtaining the recommended years of working experience. After you pass this certification exam, you will be able to: •Define the apt AWS solutions to execute and implement machine learning solutions. •Adopt the right machine learning approach specific to the business environment. •Create optimized machine learning applications and solutions that are reliable, cost-effective and scalable. Recommendation Preparation Guide for AWS ML Specialty Certification Exam Below appended are the recommendations to prepare for your exam, but are not mandatory conditions: •Basic understanding of machine learning algorithms •Basic knowledge and understanding of deep learning and machine learning frameworks •Some experience on AWS Cloud of designing, architecting and running deep learning work- load •Competency in following model-training practices, along with operation and deployment of best practices Certification Exam Breakdown There are four categories or domains that you have to focus on: 1.Data Engineering (20%) It deals with machine learning repositories, data-ingestion and data-transformation solution. 2.Exploratory Data Analysis (24%) It deals with modelling data creating, feature engineering, and assessment of machine learning data. 3.Modeling (36%) It deals with frame business problems, model selection, training models, hyper-parameter optimization and model evaluation. 4.Machine Learning Operations and Implementation (20%) It deals with creating solutions for availability, resilience, scalability and fault tolerance pertaining to performance. Implementation of service and features, AWS security practices, and operationalization of solutions. With the right approach, training and hands-on guidance passing AWS ML Speciality Certification exam is not a hard task, and you would be on the right path to become AWS solution architect professional.