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Machine Learning Certification– What to Prepare and How to Ace the Exam

Data science is a significant trend in the tech industry. It's not just about coding anymore. It's also about learning how to use data and algorithms to create useful applications that solve real-world problems. 

Understanding machine learning, statistics, and programming languages like Python or Java are necessary to succeed as a data scientist. Continue reading if this sounds like something you'd be interested in.

AWS Certified Machine Learning: An overview

AWS Certified Machine Learning Associate helps you develop the skills required to build and deploy ML models. The exam evaluates your knowledge of machine learning concepts, including how they can apply in various cases.

The course's objective is to verify your expertise in a variety of crucial areas, as defined by AWS as being able to:

  • Choose and defend the best ML strategy for a specific business issue.
  • Choose the best AWS services to implement machine learning solutions.
  • Create and put into practice scalable, economical, dependable, and secure ML solutions.

You will be required to demonstrate this knowledge across six different domains, each accounting for a specific percentage of your final score. These domains get divided into:

  • Data Engineering: 20%
  • Exploratory Data Analysis: 24%
  • Modeling: 36%
  • Implementing and using machine learning: 20%

How to prepare?

  • Collecting the information

    • Understand the syllabus. Your first step is understanding what you expect to cover in your course and how those topics fit into a broader learning context. 

 

  • Collect information from books, online courses, and forums. The best way to get started on this front is by reading books published specifically for machine learning certification purposes. 
  • Learning through AWS Resources

If you are considering taking the AWS Machine Learning Certification exam, there is no better place to start than with the Amazon Web Services (AWS) resources. 

The first step toward passing an exam is preparation. Make sure your study schedule gets packed with practice questions and exercises so that when it comes time for your next test, you won't be caught off guard by unexpected questions!

  • Mock Test 

If you're looking to prepare for the exam, there are a few valuable resources available. One of the best ways to improve your score is by using mock tests. These practice tests simulate real-world conditions and help you learn how to approach a question.

IIT Roorkee machine learning course is India's most popular data science course. It is a comprehensive course that covers the entire spectrum of data science, from core concepts to advanced topics.

Explore a machine learning certification course with Imarticus Learning.

With the help of this certificate program in data science and machine learning, students can launch their data science careers. Through this curriculum, students will learn the fundamentals of data science and machine learning and the knowledge necessary to apply these ideas in the real world.

Course Benefits For Learners:

  • Students will learn Python in this five-month course, which IIT faculty members created to help them understand data mining and machine learning methodologies.
  • This data science certification course will be taught live online by the best instructors in India.
  • Our online data science program will help students build a strong foundation in data science.

 Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

For Online Course Enquiries
About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
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