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Results for "sagemaker canvas"


  • 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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 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
    M

    Microsoft

    Unlock Powerful Automation and Analysis with Power Platform

    Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, Power BI, Dashboard, No-Code Development, Data Visualization, Data Integration, Interactive Data Visualization, Microsoft 365, Business Intelligence, Business Process Automation, Application Development, Data Analysis, Performance Analysis, Generative AI Agents, Application Design, Automation, Data Security, Business Process, Microsoft Teams

    4.2
    Rating, 4.2 out of 5 stars
    ·
    324 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, Tensorflow, Model Evaluation, Apache Airflow, Systems Design, Cloud Computing Architecture, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning, Continuous Deployment, Python Programming, Data Validation

    Intermediate · Specialization · 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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Blueprint to Bytecode: Architecting Scalable AI Systems

    Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, Systems Architecture, Systems Design, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Requirements Analysis, Data Engineering, Cloud Infrastructure, Continuous Deployment, Docker (Software), Prometheus (Software)

    Intermediate · Specialization · 1 - 3 Months

  • 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
    ·
    598 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Use Power Platform for Custom & Automated Solutions

    Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, No-Code Development, Business Process Automation, Application Development, Application Design, Automation, Business Process, UI Components, Data Modeling

    3.7
    Rating, 3.7 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.3
    Rating, 4.3 out of 5 stars
    ·
    28 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Python, SQL, Tableau for Data Science

    Skills you'll gain: Data Storytelling, Data Presentation, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    24 reviews

    Beginner · Professional Certificate · 3 - 6 Months

1234…20

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

  • AWS Certified Data Engineer Associate Exam Prep: LearnKartS
  • AWS AI Practitioner Certification Prep: LearnKartS
  • Unlock Powerful Automation and Analysis with Power Platform: Microsoft
  • AI Model Development & Deployment: Coursera
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • ML Model Training & Validation: Coursera
  • Blueprint to Bytecode: Architecting Scalable AI Systems: Coursera
  • MLOps | Machine Learning Operations: Duke University
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Use Power Platform for Custom & Automated Solutions: Microsoft

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