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  • Machine Learning Implementation And Operations In Aws

Results for "machine learning implementation and operations in aws"


  • Status: New
    New
    P

    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    A

    Amazon Web Services

    Getting Started with Data Analytics on AWS

    Skills you'll gain: Descriptive Analytics, AWS Identity and Access Management (IAM), Analytics, Dashboard, Data Analysis, Exploratory Data Analysis, Amazon Web Services, Data-Driven Decision-Making, Data Visualization, Big Data, Cloud Security, Amazon S3, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    913 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
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    479 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
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    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Artificial Intelligence, Big Data, Model Deployment, Machine Learning, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
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    309 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    A

    Amazon Web Services

    AWS Artificial Intelligence Practitioner

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, AI Enablement, AI Security, Artificial Intelligence, Applied Machine Learning, Prompt Engineering, Large Language Modeling, LLM Application, Model Deployment, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
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    41 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    K

    KodeKloud

    AWS Certified AI Practitioner

    Skills you'll gain: Responsible AI, Amazon Bedrock, Prompt Engineering, Generative AI, LLM Application, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, AWS SageMaker, Retrieval-Augmented Generation, Amazon Web Services, Large Language Modeling, Artificial Intelligence, Model Evaluation, Data Security, Human Centered Design

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

1234…834

In summary, here are 10 of our most popular machine learning implementation and operations in aws courses

  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • Foundations of Machine Learning: Coursera
  • Machine Learning on Google Cloud: Google Cloud
  • Getting Started with Data Analytics on AWS: Amazon Web Services
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Machine Learning in Production: DeepLearning.AI
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
  • AWS Artificial Intelligence Practitioner: Amazon Web Services
  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs

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