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Practice Exams: AWS Machine Learning Engineer Associate Cert

Develop essential systems & infrastructure skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of systems & infrastructure
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry StandardsAWS
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of systems & infrastructure
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in systems & infrastructure
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

Preparing for AWS Certified Machine Learning Engineer - Associate (MLA-C01). This is THE practice exams course to give you the winning edge. These practice exams have been co-authored by Stephane Maarek and Abhishek Singh who bring their collective experience of passing 18 AWS Certifications to the table.

The tone and tenor of the questions mimic the real exam. Along with the detailed description and "exam alert" provided within the explanations, we have also extensively referenced AWS documentation to get you up to speed on all domain areas being tested for the MLA-C01 exam. We want you to think of this course as the final pit-stop so that you can cross the winning line with absolute confidence and get AWS Certified.

Trust our process, you are in good hands. All questions have been written from scratch. More questions are being added based on the student feedback.

You will get a warm-up practice exam and ONE high-quality FULL-LENGTH practice exam to be ready for your certification. Quality speaks for itself:SAMPLE QUESTION:You are working as a data scientist at a financial services company tasked with developing a credit risk prediction model. After experimenting with several models, including logistic regression, decision trees, and support vector machines, you find that none of the models individually achieves the desired level of accuracy and robustness.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Systems & InfrastructureAwsMachine Learning

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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