AWS SageMaker

AWS SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Coursera's AWS SageMaker skill catalogue teaches you to use this powerful service to make model building, training, and deployment much easier and more accessible. You'll learn how to leverage built-in algorithms and frameworks, experiment with different model training configurations, perform hyperparameter tuning, and deploy your models for real-time predictions. Additionally, you'll learn how to track and evaluate model performance, making iterative improvements as needed. This skill is critical for any aspiring data scientist, machine learning engineer, or developer interested in integrating machine learning capabilities into their applications.
13credentials
30courses

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "aws sagemaker"

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Data Analysis

  • Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Plot (Graphics), Machine Learning, Python Programming, Data Science

  • Status: Free Trial

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Application Deployment, Development Environment, Test Automation, Algorithms, Virtual Environment

  • Status: New
    Status: Free Trial

    Amazon Web Services

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, Generative AI Agents, Generative AI, Amazon Web Services, Solution Architecture, Artificial Intelligence, Data Quality, Computer Vision, Scalability, Data Pipelines, Natural Language Processing, Personally Identifiable Information

  • Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security

  • Status: Free

    Skills you'll gain: Amazon Web Services, AWS SageMaker, Amazon S3, Natural Language Processing, Text Mining, Unstructured Data, Solution Architecture, Software Architecture

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, Amazon Web Services, Data Ethics, Generative AI, AWS SageMaker, Cloud Security, MLOps (Machine Learning Operations), Data Security, Role-Based Access Control (RBAC), Data Governance, Artificial Intelligence, Encryption, Public Cloud, General Data Protection Regulation (GDPR)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Amazon Bedrock, LangChain, Generative AI, Artificial Intelligence, Prompt Engineering, AWS SageMaker, Large Language Modeling, Automation, Data Processing, Performance Testing

  • Status: New
    Status: Free Trial

    Amazon Web Services

    Skills you'll gain: Responsible AI, Amazon Bedrock, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Large Language Modeling, Application Development

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, Generative AI, Rust (Programming Language), MLOps (Machine Learning Operations), AWS SageMaker, PyTorch (Machine Learning Library), CI/CD, Prompt Engineering, Applied Machine Learning, Application Deployment, Natural Language Processing, DevOps, Amazon Web Services, Machine Learning, Deep Learning

  • Status: Free Trial

    Skills you'll gain: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Applied Machine Learning, Python Programming, Fraud detection, Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Data Processing

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Prototyping