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"

  • Status: Free Trial

    Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization

  • Status: New
    Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Applied Machine Learning, Data Processing, Regression Analysis, Machine Learning, Supervised Learning, Feature Engineering, Data Cleansing, Continuous Deployment, Unsupervised Learning

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS Kinesis, AWS CloudFormation, Data Engineering, Amazon CloudWatch, Containerization, Serverless Computing, Infrastructure as Code (IaC), Amazon Web Services, Data Migration, Amazon DynamoDB, Amazon S3, Extract, Transform, Load, Amazon Redshift, Real Time Data, Data Quality, CI/CD, AWS SageMaker, Cloud Security, AWS Identity and Access Management (IAM), Data Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Cloud Engineering

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Data Validation, Personally Identifiable Information, Machine Learning Methods

  • Status: New
    Status: Free Trial

    Skills you'll gain: AWS CloudFormation, Amazon CloudWatch, Infrastructure as Code (IaC), AWS SageMaker, Amazon Web Services, CI/CD, AWS Identity and Access Management (IAM), Devops Tools, Cloud Security, Continuous Deployment, Network Security, Amazon S3, Cloud Infrastructure, Data Security, System Monitoring, Multi-Factor Authentication, Data Pipelines

  • Status: Free Trial

    Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science

  • Status: New

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Data Ethics, Application Deployment, Large Language Modeling, Amazon Web Services, Machine Learning, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Governance, Data Security, Business Metrics

  • Status: New

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

Most popular

Trending now

New releases

What brings you to Coursera today?

Leading partners

  • Whizlabs
  • Amazon Web Services
  • Duke University
  • LearnKartS
  • Packt
  • Pearson
  • KodeKloud