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  • Network Device Deployment Machine Learning

Results for "network device deployment machine learning"


  • 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
  • C

    Coursera

    Scale Kubernetes: Optimize Your Systems

    Skills you'll gain: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Scenario Testing, Memory Management, Continuous Monitoring

    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
  • 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, LLM Application, Cloud Management, Model Training, Cloud Computing, CI/CD, Model Optimization, Cloud Deployment, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Credit offered
    Credit offered
  • I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking

    ★ 4.3 (62) · Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    ★ 4.5 (830) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    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
  • 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
  • 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

    Orchestrate, Analyze, and Evaluate AI Deployments

    Skills you'll gain: CI/CD, Continuous Deployment, Continuous Delivery, DevOps, Containerization, Performance Analysis, Performance Metric, Performance Measurement, Artificial Intelligence, Application Performance Management, Operational Analysis, Conversion Funnel Analysis, Continuous Monitoring, Root Cause Analysis

    Intermediate · 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
1…678…834

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

  • AI Infrastructure: Deployment Types: Google Cloud
  • Scale Kubernetes: Optimize Your Systems: Coursera
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • AI Workflow: Enterprise Model Deployment: IBM
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
  • Optimize and Manage Your ML Codebase: Coursera
  • Generative AI in Deployment Training: Simplilearn

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