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  • Machine Learning Deployment

Results for "machine learning deployment"


  • C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Application Deployment, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

    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
  • E

    EDUCBA

    DP-100 Microsoft Azure DS Exam

    Skills you'll gain: Microsoft Azure, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, Cloud Deployment, Data Pipelines, Data Store, Model Training, Data Management, Cloud Infrastructure, Applied Machine Learning, AI Workflows, Model Evaluation, Machine Learning Algorithms, Configuration Management, Development Environment

    ★ 4.6 (29) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    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

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

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

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, LLM Application, Generative Model Architectures, Model Deployment, Fine-tuning, Model Optimization, Model Training, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Machine Learning, Data Quality

    ★ 4 (7) · Intermediate · Course · 1 - 4 Weeks

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

    LearnQuest

    Deployment and Impact of AI Agents

    Skills you'll gain: Technical Communication, AI Enablement, Model Deployment, AI Workflows, Generative AI Agents, Data Integration, AI Orchestration, Agentic Workflows, Business Transformation, Cloud Deployment, Initiative and Leadership, AI Product Strategy, Digital Transformation, Continuous Monitoring, Agentic systems, Compliance Management, Data Presentation, Stakeholder Communications, Regulatory Compliance, Compliance Reporting

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Deploy Resilient AI Microservices with LangChain

    Skills you'll gain: Containerization, LangChain, Microservices, Application Deployment, Cloud Deployment, Docker (Software), Cloud-Native Computing, Model Deployment, Kubernetes, LLM Application, MLOps (Machine Learning Operations), AI Orchestration, AI Integrations, Distributed Computing, Site Reliability Engineering, Prometheus (Software), API Design, Scalability, Continuous Monitoring, Performance Stress Testing

    Intermediate · Course · 1 - 4 Weeks

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

    Google Cloud

    Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

    Skills you'll gain: Model Evaluation, Model Training, Google Cloud Platform, Model Optimization, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Predictive Modeling, Google Analytics, Applied Machine Learning, Cloud Deployment, Cloud Storage, Machine Learning, Data Management

    Intermediate · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Cloud Deployment, Machine Learning Software, Data Cleansing, Supervised Learning, Data Transformation, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Data Quality

    Intermediate · Course · 1 - 4 Weeks

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

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Model Deployment, Tensorflow, Kubernetes, Scalability, Cloud Deployment, Image Analysis, Applied Machine Learning, Model Training, Cloud Computing, MLOps (Machine Learning Operations), Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

    Skills you'll gain: Cloud Computing, Model Deployment, Cloud Deployment, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing

    Intermediate · Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
1…8910…746

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

  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • DP-100 Microsoft Azure DS Exam: EDUCBA
  • Generative AI in Deployment Training: Simplilearn
  • ML Concepts, Models & Workflow Essentials: Coursera
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • Deployment and Impact of AI Agents: LearnQuest
  • Deploy Resilient AI Microservices with LangChain: Coursera
  • Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions: Google Cloud
  • Foundations of Machine Learning with Azure: Packt

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