Description
AWS Certified Machine Learning Engineer – Associate course. This course provides the essential skills to design, develop, and deploy scalable machine learning solutions on the AWS platform. Suitable for software developers, data scientists, machine learning engineers, and DevOps professionals, this course combines theory and hands-on exercises to prepare participants to design production-ready architectures, automate CI/CD pipelines for efficient deployment, and implement security best practices in the cloud. The core skills of this course include three main areas: data preparation, which covers the process of ingesting, transforming, and cleansing data using the SageMaker service; pipeline automation, which focuses on building and deploying complete machine learning workflows; and solution management, which includes monitoring, securing, and optimizing machine learning systems on AWS. By providing hands-on training, this course strengthens individuals’ ability to design, deploy, monitor, and secure machine learning projects in the cloud, equipping them to advance in a career path in machine learning engineering.
What you will learn
- Learn critical skills for designing and deploying scalable machine learning solutions.
- Mastery of data preparation, including data ingestion, transformation, and cleansing using the SageMaker service on AWS.
- Gain the ability to build and deploy machine learning workflows (ML Workflows) from start to finish using Pipeline Automation.
- Learn how to monitor, secure, and optimize AWS-based machine learning systems in the Solution Management section.
- Gain practical experience designing production-ready ML architectures.
- Learn how to automate CI/CD (Integration/Continuous Deployment) pipelines for efficient deployment of ML solutions.
- Familiarity with implementing security best practices for cloud-based machine learning systems.
This course is suitable for people who:
- Software Developers.
- Data Scientists.
- Machine Learning Engineers (ML Engineers).
- DevOps (Development and Operations) specialists.
- People looking to gain practical AWS skills in the field of ML.
- People who want to design and deploy scalable ML systems in the cloud.
AWS Certified Machine Learning Engineer – Associate Course Specifications
- Publisher: Oreilly
- Instructor: Nick Garner
- Education level: Intermediate
- Training duration: 9 hours and 36 minutes
Course syllabus as of 2025/4
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.2 GB
