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  • Model Deployment

Results for "model deployment"


  • Status: New
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    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Computing, Application Deployment, Data Processing, Applied Machine Learning, Scalability, Continuous Deployment, Machine Learning, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

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    Packt

    Master Apple Device Deployment with Microsoft Intune (2025)

    Skills you'll gain: Microsoft Intune (Mobile Device Management Software), Apple iOS, Application Deployment, Mobile Security, Azure Active Directory, Mac OS, Endpoint Security, Enterprise Application Management, Network Support, Identity and Access Management, System Configuration, Data Security

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Board Infinity

    Deploying & Scaling Spring Boot Applications on AWS

    Skills you'll gain: CI/CD, Jenkins, Docker (Software), Continuous Integration, Containerization, Scalability, Application Deployment, Continuous Deployment, Spring Framework, Spring Boot, DevOps, Prometheus (Software), Cloud Development, Amazon CloudWatch, AWS Identity and Access Management (IAM), Amazon Web Services, Load Balancing, OAuth, Performance Tuning, System Monitoring

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Design and Implement Build and Release Pipelines

    Skills you'll gain: CI/CD, Package and Software Management, Infrastructure as Code (IaC), Azure DevOps, Continuous Delivery, Application Deployment, Continuous Integration, DevOps, Release Management, Software Versioning, Version Control, Microsoft Azure, GitHub, Development Testing, Test Engineering, YAML

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Large Language Modeling, Continuous Monitoring, Generative AI, Performance Tuning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Pearson

    Certified Kubernetes Application Developer (CKAD): Unit 3

    Skills you'll gain: Application Deployment, Kubernetes, Scalability, Continuous Deployment, Containerization, Cloud Applications, Cloud Development, Cloud-Native Computing, Software Installation, YAML

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Vanderbilt University

    Generative AI and Model Selection

    Skills you'll gain: Generative Model Architectures, Generative AI, Prompt Engineering, Applied Machine Learning, LLM Application, Large Language Modeling, Application Deployment, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    Build a CI/CD Pipeline with Docker: From Code to Deployment

    Skills you'll gain: Docker (Software), CI/CD, Application Deployment, Amazon Elastic Compute Cloud, DevOps, Containerization, Cloud Hosting, Spring Boot, Continuous Deployment, Cloud Applications, Amazon Web Services, Continuous Integration, GitHub

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Packt

    Cloud Deployment

    Skills you'll gain: Cloud Infrastructure, Cloud Computing, Cloud Services, Virtual Machines, Virtualization, Data Migration, Disaster Recovery, Cloud Storage, Dynamic Host Configuration Protocol (DHCP), Data Storage Technologies, Containerization, Network Routing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Scrimba

    Build & Deploy Your Web Dev Portfolio

    Skills you'll gain: HTML and CSS, Cloud Hosting, Web Development, Responsive Web Design, Web Design, UI Components, Information Architecture, Application Deployment, Typography, Javascript

    Intermediate · Course · 1 - 4 Weeks

Searches related to model deployment

ai workflow: enterprise model deployment
model armor: securing ai deployments
aws: model training , optimization & deployment
data science model deployments and cloud computing on gcp
model armor: mengamankan deployment ai
optimize tensorflow models for deployment with tensorrt
real-world applications & model deployment in java
nvidia: large language models and generative ai deployment
1…567…310

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

  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Master Apple Device Deployment with Microsoft Intune (2025): Packt
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • Deploying & Scaling Spring Boot Applications on AWS: Board Infinity
  • Design and Implement Build and Release Pipelines: Whizlabs
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Certified Kubernetes Application Developer (CKAD): Unit 3: Pearson
  • Generative AI and Model Selection: Vanderbilt University
  • Build a CI/CD Pipeline with Docker: From Code to Deployment: Coursera

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