AWS Certified Machine Learning Engineer Associate: Hands On!
AWS Certified Machine Learning Engineer Associate: Hands On!
Practice exam included! Master MLA-C01 / ME1-C01 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.
Product Brand: Udemy
4.6
AWS Certified Machine Learning Engineer Associate: Hands On! Coupon Code. Practice exam included! Master MLA-C01 / ME1-C01 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.
Created by Stephane Maarek and Sundog Education by Frank Kane | 23 hours on-demand video course
AWS Certified Machine Learning Engineer Associate: Hands On!
AWS Certified Machine Learning Engineer Associate: Hands On! Course. Get certified by Amazon for your knowledge of machine learning on AWS! Prepare to ace one of the most challenging certifications in the cloud domain—the AWS Certified Machine Learning Engineer Associate Exam! Whether you’re a backend developer, data engineer, or data scientist, this comprehensive course is your gateway to success.
This course is expertly crafted by industry veterans Frank Kane and Stephane Maarek, who have collectively educated over 3 million students on Udemy. Frank Kane, with over 9 years of experience at Amazon, has specialized in machine learning and AI, and Stephane Maarek is an AWS expert and renowned instructor. Together, they bring an unparalleled depth of knowledge to guide you through every aspect of the exam.
What you’ll learn
- Master AWS ML Services: Dive deep into Amazon SageMaker, Amazon Bedrock, and a host of other AWS services like Comprehend, Rekognition, and Translate, which are crucial for the exam.
- Hands-on Labs: Gain practical experience with hands-on activities, labs, and demos that reinforce your understanding and help you build confidence.
- Practice Exam and Practice Questions: A 20-question practice exam and 110 quiz questions throughout the course test your knowledge, in a style similar to the exam
- Data Preparation & Feature Engineering: Learn how to ingest, transform, and validate data for ML modeling, ensuring data integrity and model readiness.
- Model Development & Deployment: Explore hyperparameter tuning, model performance analysis, and best practices for deploying scalable ML solutions on AWS.
- Monitoring & Security: Discover how to monitor ML models and infrastructure, optimize costs, and secure your AWS environment, ensuring compliance and performance.
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Who this course is for:
- Data engineers, data scientists, DevOps professionals, and software developers who are looking to advance their careers by obtaining the AWS Certified Machine Learning Engineer Associate certification
- IT professionals who have experience working with AWS services and want to deepen their understanding of machine learning solutions on the AWS platform.
