AWS Machine Learning Specialty (MLS-C01)

The domains which will help in your exam preparation for AWS Certified machine Learning Specialty exam are:

1. Module 1: Learn Data Engineering (20%)
2. Module 2: Learn Exploratory Data Analysis (24%)
3. Module 3: Learn Modeling (36%)
4. Module 4: Learn Machine Learning Implementation and Operations (20%)

AWS Certified Machine Learning Specialty exam test the ability to implement Machine Learning by choosing the right AWS service. You should be able to design scalable Machine learning solutions with having experience of 1-2 years for running and developing Machine learning workloads on AWS. During preparation,

1. Getting proficiency in Machine learning frameworks and good knowledge of Machine learning algorithms. Do as many practice questions as possible which will help you know your strengths and weaknesses.
2. Check for the available exam pattern and create a blueprint, topic-wise. This will help you cover all topics in a sequential manner.
3. This certification requires advanced skills and knowledge for ML/deep learning which you need to understand and you should also apply for AWS exam discussion, blogs and make yourself updated with every news about the exam concepts.

Build skills for building a career as an AWS Machine Learning Specialist

• Selecting and justifying a suitable ML approach for a given business problem
• Identifying suitable AWS services for implementing ML solutions

Planning and applying scalable, cost-optimized, reliable, and secure ML solutions

AWS certification offers candidates training to understand the key tools and concepts of AWS. 

1. It will help you advance your skills in cloud platform services.
2. AWS certifications have different levels of certification and passing these will help you to get a good and secure job in the market.
3. On becoming a certified AWS professional many doors will open for you so you do not need to stick to the same role. There are many opportunities for which you can apply. And this certification requires hard work. If you are focused on AWS then there is nothing that can stop you to become Professional.

Is AWS Machine Learning Certification worth it?

The AWS Machine Learning specialist exam covers Amazon Web Services products that let developers apply algorithms to uncover patterns in end-user data, build mathematical models based on these patterns, and then create and execute predictive applications.

Learn How difficult is the AWS Machine Learning Specialty Exam?

The AWS Certified Machine Learning Specialty exam is a perfect way to start if you want to establish a career or expand your understanding of machine learning on the AWS Cloud. 

Become an AWS Machine Learning Developer

AWS Certified Machine Learning Specialty Exam Format

• Exam Code MLS-C01
• Exam Duration 170 Minutes
• Exam Format Multiple Choice and Multi-Response Questions
• Exam Type Specialty
• Number of Questions 65 Questions
• Passing Score  Scoring from 100-1000, with a minimum passing score of 750
• Exam Language English, Japanese, Korean, & Simplified Chinese
• Validity 3 years

AWS Machine Learning Specialist Exam Format

AWS Machine Learning Specialty Cheat Sheet provides you with the right combination of learning resources and strategy to earn this much-valued credential. Acquire skills 

• Select and justify the appropriate ML approach for a given business problem
• Identify appropriate AWS services to implement ML solutions
• Design and implement scalable, cost-optimized, reliable, and secure ML solutions

AWS Machine Learning Specialty Cheat Sheet

• Take a tour to the Official Site
• Look at the Exam BluePrint
• Refer to the course outline
• Evaluate yourself with Practice Test

Prepare for AWS machine learning speciality exam (MLS-C01)

Learn to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.

AWS Machine Learning Specialty Exam Study Guide

• Get basic knowledge of statistics/machine learning
• Learn about AWS Kinesis family of tools together with AWS Glue
• Learn security works with AWS S3 and security around using SageMaker
• Understand bout Amazon SageMaker - ML frameworks pre-installed in containers

For documentation, you can refer to the AWS Machine Learning Specialty Exam online tutorial with detailed AWS documentation and learning resources.

AWS Machine Learning Specialty (MLS-C01) Online Tutorial