Last updated
20 questions added in Section Tests
- PT Version Update 2024
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Course Overview
- This AWS Machine Learning Specialty certification course will help you learn how to build, train, tune, and deploy Machine Learning models on the AWS platform.
- Our Certified AWS Machine Learning Specialty practice tests have 300+ unique questions. These questions help you prepare for the real AWS Machine Learning exam.
- By the end of the course, you will be familiar with the certification exam questions, structure and will have gained practical skills.
Key Features of the Course
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300+ full-length practice questions
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74+ Video-course content
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23+ Hands-on Labs for AWS Machine Learning Specialty Certification
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Auto-updates to the course content
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24x7 Support from our Subject Matter Experts
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Course completion certificate
What skills does the AWS Certified Machine Learning Specialty Certification test?
The AWS Certified Machine Learning Specialty exam tests your skills. It focuses on designing, implementing, deploying, and supporting Machine Learning solutions. These solutions aim to solve business problems.
The exam covers the following 4 domains that are essential for passing the AWS Certified Machine Learning exam.
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Data Engineering
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Exploratory Data Analysis
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Modeling
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Machine Learning Implementation and Operations
What Are The AWS Machine Learning Skills You Will Learn?
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To select and justify the appropriate Machine Learning approach for a given business problem.
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To identify appropriate AWS services to implement ML solutions.
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Design and implement scalable, cost-optimized, reliable, and secure ML solutions.
Why should you take the AWS Certified Machine Learning Specialty Course?
This AWS Machine Learning course teaches you how to interpret exam questions on each topic. Also, learn how to apply the concepts tested in this exam to eliminate incorrect responses easily.
What Are The AWS Certified Machine Learning Specialty Prerequisites?
The AWS Certified Machine Learning Specialty certification is for people in development or data science. This product targets individuals with over one year of experience. This includes developing, designing, or managing machine learning and deep learning tasks in the AWS Cloud.
We recommend that you have the following prerequisites before taking this exam:
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Two years of hands-on experience developing, architecting, and running Machine Learning or deep learning workloads in the AWS Cloud
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Ability to express the intuition behind basic ML algorithms
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Experience performing basic hyperparameter optimization
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Experience with ML and deep learning frameworks
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Ability to follow model training, deployment, and operational best practices
Included in this course
- Practice Tests10 Quizzes Available
- Video Course74 Videos Available
- Hands-on Labs23 Labs Available
- Cloud SandboxAvailable
AWS Certified Machine Learning Specialty Practice tests are designed by experts to simulate the real exam scenario. The questions are based on the exam syllabus outlined by official documentation. These practice tests are provided to the candidates to gain more confidence in exam preparation and self-evaluate them against the exam content.
AWS Certified Machine Learning Specialty Practice tests are designed by experts to simulate the real exam scenario. The questions are based on the exam syllabus outlined by official documentation. These practice tests are provided to the candidates to gain more confidence in exam preparation and self-evaluate them against the exam content.
Take this AWS Certified Machine Learning Specialty online course today and get your hands on the best learning with updated course content and in depth course videos
- Perform ETL operation in Glue with S31h
- Build a real time data streaming system with Amazon Kinesis Data Streams1h 20m
- Build a real time data streaming system with Amazon Kinesis Data Stream and Kinesis Agent1h 30m
- Data Integration and Transformation with AWS Glue2h
- Extracting Data (CSV, Json) with Amazon Bedrock1h
A cloud sandbox is a virtual environment that simulates environment for testing, development, and experimentation purposes. The AWS Cloud Sandbox can be used to test new applications, try out different configurations, or practice cloud skills.
Access the benefits of Cloud Sandbox along with the Video Course of AWS Certified Machine Learning Specialty course and explore real-time.
Exam Format and Information
AWS Certified Machine Learning - Specialty (MLS-C01)
Prior Certification
Not Required
Exam Validity
36 Months
Exam Fee
300 USD
Exam Duration
180 Minutes
No. of questions
65
Passing Marks
750
Recommended Experience
2 years of hands-on experience developing, architecting, and running ML or deep learning workloads on the AWS Cloud
Exam Format
Multiple choice and Multiple respone
Languages : English, Japanese, Korean, and Simplified Chinese.
Why Choose Us?
Practice Questions
3 Full-length Mock Exams with 195+ unique AWS Certified Machine Learning specialty certification exam practice questions
Video Courses
Over 10 hours of training videos cover all the certification exam topics.
Section Quiz
5-section quiz covering the most important topics for the exam
Experts Support
Our support team consists of AWS experts, ready to clarify all your queries.
Hands-On Practice
This course equips you with real-world experience through Hands-On labs and a sandbox.
Up-To-Date Content
Our course is updated frequently to match the industry standards.
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Great Content, aptly curated considering exam syllabus. Practise exams really helped me to clear 8 cloud certification including this one
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Great set of questions to reaffirm your certification preparation
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