Course Overview
Individuals who work in Artificial Intelligence/Machine Learning (AI/ML) development or data science should take the AWS Certified Machine Learning – Specialty (MLS-C01) exam. The exam verifies a candidate’s competence to use the AWS Cloud to design, construct, deploy, optimize, train, tune, and manage machine learning solutions for specific business challenges.
A candidate’s ability to accomplish the following tasks is also validated by the exam:
- Two years or more of practical experience building, planning, and managing workloads related to machine learning or deep learning on the AWS Cloud
- Able to articulate the intuition underlying simple machine learning algorithms
- Familiarity with basic hyperparameter optimization
- Knowledge of deep learning and machine learning frameworks
- The capacity to adhere to best practices for model training, deployment, and operations
The course is ideal for candidates who would like to build career in Cloud Computing and pass the MLS-C01: AWS Certified Machine Learning Specialty exam in first attempt.
Topics Covered
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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 is Included?
Study Guides
IPSpecialist Study Guides are the ideal guides to developing the hands-on skills necessary to pass the exam. Our workbooks cover the official exam blueprint and explain the technology with real-life case study-based labs. The content covered in each workbook consists of individually focused technology topics presented in an easy-to-follow, goal-oriented, step-by-step approach. Every scenario features detailed breakdowns and thorough verifications to help you completely understand the task and associated technology.
We extensively used mind maps in our workbooks to visually explain the technology. Our workbooks have become a widely used tool to learn and remember information effectively.
Exam Cram Notes
Our Exam Cram Notes are a concise bundling of condensed notes of the complete exam blueprint. It is an ideal and handy document to help you remember the most important technology concepts related to the certification exam.
Practice Questions
IPSpecialist’s Practice Questions are dedicatedly designed from a certification exam perspective. The collection of these questions from our Study Guides is prepared keeping the exam blueprint in mind, covering not only important but necessary topics. It is an ideal document to practice and revise your certification.
Hands on Labs
IPSpecialist Hands-on Labs are the fastest and easiest way to learn real-world use cases through detailed text-based lab guides. These labs are carefully designed to prepare you for certification exams and your next job role. Whether you are just starting to learn technology or solving a real-world scenario, our labs will help you grasp the core concepts quickly.
Key Features of Course
The content of this program is tightly aligned to the MLS-C01: AWS Certified Machine Learning Specialty exam objective domains.
The course includes:
- Study Guide
- Practice Questions
- Exam Cram Notes
- Mind-maps
- Hand-on practice labs
- Real-world examples
- Auto-updates to the course content
- Exam tips
Course Content
- Study Guides
- Exam Cram Notes
- Hands-on Labs
- Practice Questions
Course Content
Exam Information
AWS Certified Machine Learning – Specialty
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Prior Certification
Not Required
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Exam Fee
$300 USD
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No. of Questions
65
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Exam Validity
3 Years
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Exam Duration
180 Minutes
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Passing Marks
75-80%
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Recommended Experience
2+ years of hands-on experience developing, architecting, and running ML or deep learning workloads in AWS
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Exam Format
Multiple Choice, Multiple response
This course includes
- Content Type: Complete Course
- Category: Cloud Computing
- Language: English
- Difficulty Level: Expert
- Certification: Yes
- Last Update: 16/11/2023
- Version: 2.0