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David Tucker
The AWS Machine Learning Specialty Certification represents an advanced knowledge of implementing machine learning solutions on the platform. In this course, Demystifying the AWS Certified Machine Learning Specialty Exam, you’ll learn how to combine the...
Read more
The AWS Machine Learning Specialty Certification represents an advanced knowledge of implementing machine learning solutions on the platform. In this course, Demystifying the AWS Certified Machine Learning Specialty Exam, you’ll learn how to combine the...
Read more
The AWS Machine Learning Specialty Certification represents an advanced knowledge of implementing machine learning solutions on the platform. In this course, Demystifying the AWS Certified Machine Learning Specialty Exam, you’ll learn how to combine the information gained in the other courses in this path to prepare to add this certification to your resume. First, you’ll explore the exam and understand how it is structured. Second, you’ll review the four domains covered by the exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. Finally, you’ll discover the best manner to leverage the study materials and prepare for the exam. When you’re finished with this course, you’ll have the techniques and resources needed to prepare to take the AWS Machine Learning Specialty certification exam.
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Strengthens an existing foundation for intermediate learners in the field of machine learning
Maps to real-world industry solutions in machine learning implementation
Covers specific methods and best practices for preparing for this AWS certification exam
Requires an extensive background knowledge in machine learning and cloud computing
May be more useful to those already working in the field and looking to validate their skills
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Career center
Learners who complete Demystifying the AWS Certified Machine Learning Specialty Exam will develop knowledge and skills
that may be useful to these careers:
Cloud Machine Learning Engineer
Cloud Machine Learning Engineer
A Cloud Machine Learning Engineer designs, develops, and maintains machine learning models on cloud platforms like AWS. This course may help build a foundation for this role by providing an understanding of the AWS Machine Learning Specialty Certification, which covers the implementation and operation of machine learning solutions on AWS. This course will help familiarize you with the areas of data engineering, exploratory data analysis, modeling, and machine learning implementation that you'll need to succeed in this career.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use machine learning models to solve real-world problems in various industries. This course can provide a foundation for this role by introducing you to the AWS Machine Learning Specialty Certification. This course covers key areas that Machine Learning Engineers need to know, such as data engineering, exploratory data analysis, modeling, and machine learning implementation. Understanding these concepts will help you stand out in this competitive field.
Machine Learning Architect
Machine Learning Architect
Machine Learning Architects design and manage machine learning systems. This course may be helpful in preparing for this role by introducing you to the AWS Machine Learning Specialty Certification. The concepts covered by the certification, such as data engineering, exploratory data analysis, and modeling, are essential for Machine Learning Architects. By taking this course, you will gain knowledge that is highly sought after in this field.
Data Scientist
Data Scientist
Data Scientists use data to build models for solving problems and making predictions. This course may help prepare you for this role by helping you prepare for the AWS Machine Learning Specialty Certification. Getting certified demonstrates your proficiency in implementing machine learning solutions on AWS. The course covers important topics such as data engineering, exploratory data analysis, and modeling. By taking this course, you will gain a competitive edge.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. This course may provide a foundation for this role by preparing you for the AWS Machine Learning Specialty Certification. The certification covers critical topics for Cloud Architects, including data engineering, exploratory data analysis, and modeling. Understanding these concepts will help you excel as a Cloud Architect.
Data Analyst
Data Analyst
Data Analysts use data to solve problems and make predictions. This course may be helpful in your preparation for this role by introducing you to concepts tested on the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are highly relevant to Data Analysts. By taking this course, you will gain knowledge that will help you add value to any organization.
Machine Learning Researcher
Machine Learning Researcher
Machine Learning Researchers develop new machine learning algorithms and techniques. This course may be helpful for this role by providing a foundation for the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are important for Machine Learning Researchers. By taking this course, you will gain the knowledge you need to contribute to this field.
Data Engineer
Data Engineer
Data Engineers design and manage data systems. This course may be useful by helping you prepare for the AWS Machine Learning Specialty Certification. Data engineering is one of the key areas covered by the certification. By taking this course, you will gain knowledge in designing and managing data systems for machine learning, which will make you a more attractive candidate for this role.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to make informed business decisions. This course may be useful by helping you prepare for the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are highly relevant to Business Intelligence Analysts. Understanding these concepts will help you add value to your organization.
Software Engineer
Software Engineer
Software Engineers design and develop software systems. This course may be helpful in preparing for this role by introducing you to concepts tested on the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are important for Software Engineers working on machine learning projects. By taking this course, you will gain knowledge that will increase your marketability.
Statistician
Statistician
Statisticians use data to solve problems and make predictions. This course may provide a foundation for this role by preparing you for the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are highly relevant to Statisticians. By taking this course, you will gain knowledge that will help you excel in this field.
Data Science Manager
Data Science Manager
Data Science Managers lead teams of data scientists and engineers. This course may be helpful by helping you prepare for the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are important for Data Science Managers to understand. By taking this course, you will gain knowledge that will prepare you to manage and lead data science teams effectively.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course may be useful by helping you prepare for the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are highly relevant to Quantitative Analysts. By taking this course, you will gain knowledge that will make you a more competitive candidate for this role.
Product Manager
Product Manager
Product Managers develop and manage products. This course may provide a foundation for this role by preparing you for the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are increasingly important for Product Managers. By taking this course, you will gain knowledge that will help you succeed in this role.
Consultant
Consultant
Consultants provide advice and guidance to clients on a variety of topics. This course may be useful by helping you prepare for the AWS Machine Learning Specialty Certification. The certification covers topics such as data engineering, exploratory data analysis, and modeling, which are highly relevant to Consultants working in the field of machine learning. By taking this course, you will gain knowledge that will help you provide valuable advice to your clients.
For more career information including salaries, visit:
OpenCourser.com/course/u78v7u/demystifying
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Demystifying the AWS Certified Machine Learning Specialty Exam.
Comprehensive guide to the AWS Machine Learning Specialty Certification exam. It covers all four domains of the exam and provides in-depth training and practice questions. It valuable resource for anyone preparing for the exam.
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Provides a comprehensive overview of machine learning theory and algorithms. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about the theoretical foundations of machine learning.
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Provides a comprehensive overview of deep learning. It covers the fundamental concepts of deep learning, as well as the most common deep learning architectures. It good resource for anyone who wants to learn more about deep learning.
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Provides a comprehensive overview of data mining. It covers the fundamental concepts of data mining, as well as the most common data mining algorithms. It good resource for anyone who wants to learn more about data mining.
Provides a comprehensive overview of statistical learning. It covers the fundamental concepts of statistical learning, as well as the most common statistical learning algorithms. It good resource for anyone who wants to learn more about statistical learning.
Provides a practical guide to machine learning with Python. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about machine learning with Python.
Provides a quick overview of machine learning. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about machine learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about the theoretical foundations of machine learning.
Provides a practical guide to machine learning for hackers. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about machine learning for hacking.
Provides a comprehensive overview of machine learning with R. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about machine learning with R.
Provides a gentle introduction to machine learning for dummies. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about machine learning for dummies.
Provides a comprehensive overview of machine learning. It covers the fundamental concepts of machine learning, as well as the most common machine learning algorithms. It good resource for anyone who wants to learn more about machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/u78v7u/demystifying
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Time
1 hours
Via
Pluralsight
Instructor
David Tucker
This course belongs to a
collection
called
AWS Certified Machine Learning – Specialty (MLS-C01). It's comprised of six courses:
- Fundamentals of Machine Learning on AWS
- Exploratory Data Analysis with AWS Machine Learning
- Modeling with AWS Machine Learning
- Implementing and Operating AWS Machine Learning Solutions
- Data Engineering with AWS Machine Learning
- Demystifying the AWS Certified Machine Learning Specialty Exam (viewing)
Good to know
Strengthens an existing foundation for intermediate learners in the field of machine learning
Maps to real-world industry solutions in machine learning implementation
Covers specific methods and best practices for preparing for this AWS certification exam
Requires an extensive background knowledge in machine learning and cloud computing
May be more useful to those already working in the field and looking to validate their skills
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