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  • Machine Learning Deployment

Results for "machine+learning+deployment"


  • A

    Amazon Web Services

    DevOps and AI on AWS: CI/CD for Generative AI Applications

    Skills you'll gain: Infrastructure as Code (IaC), Amazon CloudWatch, CI/CD, AWS CloudFormation, Application Deployment, Continuous Deployment, Cloud Deployment, Amazon Web Services, Continuous Integration, Model Deployment, IT Automation, Cloud-Native Computing, DevOps, Cloud Management, Generative AI, Cloud Applications, System Monitoring, Automation, Continuous Monitoring

    ★ 4.4 (12) · Beginner · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    ★ 4.3 (178) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • S

    Simplilearn

    Generative AI in Deployment Training

    Skills you'll gain: Infrastructure as Code (IaC), AI Workflows, Generative AI, Application Deployment, CI/CD, Amazon Elastic Compute Cloud, IT Automation, Cloud Deployment, Jenkins, Amazon Web Services, Terraform, Cloud Infrastructure, AI Integrations, Kubernetes, GitHub Copilot, Docker (Software), Requirements Analysis, Release Management, Scalability

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Machine Learning Software, Continuous Delivery, Model Training, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Automation, Business Priorities, Performance Analysis, YAML

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Verification And Validation, Site Reliability Engineering, AI Workflows, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, System Requirements, Business Risk Management

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    AI Infrastructure: Deployment Types

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Kubernetes, Cloud Deployment, Infrastructure As A Service (IaaS), Model Deployment, Network Performance Management, Application Deployment, Model Optimization, Cloud Engineering, Containerization, Performance Tuning, Network Planning And Design, Distributed Computing, System Configuration, Computer Hardware

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Model Optimization, Serverless Computing, Cloud Deployment, Generative AI, Cloud Platforms, AI Integrations, Application Deployment, Cloud-Based Integration, Containerization, Scalability

    Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Building a Machine Learning Solution

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, Machine Learning Software, Model Training, Feature Engineering, Data Cleansing, Responsible AI, Machine Learning Methods, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Statistical Methods, Application Deployment, Generative AI, Data Preprocessing, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    ★ 4.5 (91) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Advanced Deployment Scenarios with TensorFlow

    Skills you'll gain: Model Deployment, Federated Learning, Tensorflow, Transfer Learning, Model Training, Model Evaluation, Machine Learning, Data Visualization

    ★ 4.8 (512) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…678…9

In summary, here are 10 of our most popular machine+learning+deployment courses

  • DevOps and AI on AWS: CI/CD for Generative AI Applications: Amazon Web Services
  • Optimize and Manage Your ML Codebase: Coursera
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Generative AI in Deployment Training: Simplilearn
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • AI Infrastructure: Deployment Types: Google Cloud
  • Deploy and Scale AI Models with Cloud Run: Google Cloud
  • Building a Machine Learning Solution: Coursera

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