AWS SageMaker ML Engineer in 30 Days

Master AWS SageMaker and become a skilled ML engineer in just 30 days with hands-on projects and expert guidance.

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A new way to learn

Combine the power of AI with expert-curated content for a personalized learning experience

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Selected resources from platforms like YouTube, the best posts, and more

AI-Powered

Personalized content using advanced AI to adapt to your learning style and pace

Interactive notes

Take notes, highlight key concepts, and create your own study materials

Visual learning

Watch video tutorials and visualize concepts through interactive diagrams

What You'll Learn

How to set up and configure AWS SageMaker
Techniques for data preprocessing and feature engineering
Building and training machine learning models
Deploying models for real-world applications
Best practices for monitoring and optimizing models

Course Content

15 topics

Overview of AWS SageMaker
Preview
Setting Up AWS Environment
Preview
Understanding Machine Learning Concepts
Preview

Requirements

• Basic understanding of programming concepts
• Familiarity with Python programming language
• Knowledge of machine learning fundamentals
• Access to an AWS account
• Willingness to engage in hands-on projects

Target Audience

Aspiring data scientists, software developers, and IT professionals looking to specialize in machine learning with AWS.

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