Udemy – AWS Machine Learning: From Basics to Hands-On Projects 2024-11

Description

AWS Machine Learning: From Basics to Hands-On Projects. In the era of data-driven decision-making, mastering machine learning is a valuable skill. This course is designed to take you from the basics of AWS Machine Learning (AML) to practical applications. Whether you’re a beginner or looking to expand your knowledge, this course provides a structured and engaging approach to mastering AWS machine learning services. With step-by-step guidance, real-world examples, and hands-on exercises, you’ll gain the skills you need to implement powerful ML models using AWS. By the end of the course, you’ll have a comprehensive understanding of AWS machine learning. You’ll be proficient in sourcing, preparing, and analyzing data, as well as building and deploying machine learning models on AWS. This course is designed to give you practical skills that can be directly applied to real-world scenarios, making you a valuable asset to any data-driven organization. Whether you’re looking to advance your career, transition into a new role, or simply expand your knowledge, this course will give you the tools and confidence you need to succeed in the dynamic field of machine learning.

What you will learn in this course:

• Introduction to AWS Machine Learning: Understand the basics of AWS Machine Learning and its key features.
• Data preparation: Learn the AML lifecycle, from data acquisition to model deployment.
• Data quality and variable management: Address data quality issues, including handling invalid values.
• Practical Data Insights: Participate in hands-on exercises to create and manage data sources.
• Build and evaluate ML models: Develop and fine-tune machine learning models using advanced AWS configurations.
• Manage ML projects from start to finish: Master the creation, management, and evaluation of ML objects on AWS.

This course is suitable for people who:

• Prospective data scientists and machine learning engineers: Individuals looking to enter the field of data science and machine learning, especially those interested in using AWS’s powerful ML services.
• Software developers and engineers: Developers who want to expand their skill set by adding machine learning capabilities to their applications.
• Data Analysts and BI Professionals: Analysts who want to enhance their data insights using predictive modeling and machine learning.
• AWS enthusiasts and cloud professionals: People who are already familiar with AWS services and want to explore its machine learning capabilities.
• Technical Managers and Project Leaders: IT managers and project leaders looking to understand the potential of AWS machine learning for strategic decision-making.
• Students and Academics: University students, researchers, and educators who want to apply AWS ML tools to their academic or research projects.

AWS Machine Learning: From Basics to Hands-On Projects Course Details

• Publisher:  Udemy
• Instructor:  EDUCBA Bridging the Gap
• Training level: Beginner to advanced
• Training duration: 2 hours and 21 minutes
• Number of lessons: 18

Course syllabus on 2024/11

AWS Machine Learning: From Basics to Hands-On Projects Course Prerequisites

• Basic Knowledge of AWS Services: Familiarity with core AWS services like S3, EC2, and IAM will be beneficial.
• Foundational Programming Skills: Basic knowledge of Python is recommended, as it will be used for scripting and model management.
• Interest in Machine Learning: No prior experience in machine learning is required, but an enthusiasm for learning how to build ML models will enhance your experience.

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