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  • Sagemaker

Results for "sagemaker"


  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    116 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    SageMaker Unified Studio Foundations for Data Analytics

    Skills you'll gain: AWS SageMaker, Generative AI, Data Lakes, Data Governance, Data Architecture, Data Management, SQL, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    599 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    A

    Amazon Web Services

    AWS Generative AI Applications

    Skills you'll gain: Responsible AI, Generative AI, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Workflows, Agentic systems, AI Enablement, AI Product Strategy, Generative AI Agents, Amazon Web Services, AI Orchestration, Application Programming Interface (API), Application Development, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, LLM Application, Solution Architecture, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    118 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    AWS Certified Data Engineer Associate Exam Prep

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Cloud Engineering, Data Quality, Docker (Software), Data Pipelines, AWS Identity and Access Management (IAM), Data Security, Databases, Version Control, Apache Spark, Data Modeling, Cloud Security, Cloud Storage, Network Security, Kubernetes, Git (Version Control System), Data Management, AWS CloudFormation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    AWS AI Practitioner Certification Prep

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Machine Learning Algorithms, Data Wrangling, Deep Learning, Artificial Intelligence, Cloud Security, Amazon Elastic Compute Cloud, Embeddings, Model Deployment, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Data Security, Amazon S3, Data Governance, Governance, Encryption, Public Cloud

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (SAP-C02): AWS Solutions Architect - Professional

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, AWS SageMaker, Amazon DynamoDB, Amazon Redshift, Serverless Computing, Amazon Web Services, Identity and Access Management, Amazon S3, AWS CloudFormation, Cloud Management, AWS Kinesis, Infrastructure as Code (IaC), Virtual Networking, Cloud Security, Network Security, Threat Detection, Network Architecture, Amazon Elastic Compute Cloud, Containerization

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

1234…13

In summary, here are 10 of our most popular sagemaker courses

  • Developing Machine Learning Solutions: Amazon Web Services
  • SageMaker Unified Studio Foundations for Data Analytics: Amazon Web Services
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • MLOps | Machine Learning Operations: Duke University
  • AWS Generative AI Applications: Amazon Web Services
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • AWS Certified Data Engineer Associate Exam Prep: LearnKartS
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • AWS AI Practitioner Certification Prep: LearnKartS

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