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  • Aiops Implementation

Results for "aiops+implementation"


  • E

    EDUCBA

    Implement CI/CD Automation with Jenkins, Docker & Kubernetes

    Skills you'll gain: CI/CD, Jenkins, Kubernetes, Docker (Software), Devops Tools, DevOps, Continuous Integration, Containerization, Application Deployment, GitHub, Development Environment, Version Control, System Configuration

    Beginner · Course · 1 - 4 Weeks

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

    Amazon Web Services

    AWS Artificial Intelligence Practitioner

    Skills you'll gain: Responsible AI, Generative AI, Amazon Bedrock, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, AI Security, Artificial Intelligence, Model Optimization, Applied Machine Learning, Prompt Engineering, Machine Learning Methods, Model Training, LLM Application, Machine Learning

    ★ 4.6 (27) · Beginner · Course · 1 - 3 Months

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

    Coursera

    AI Systems Reliability & Security

    Skills you'll gain: Model Deployment, Multi-Cloud, Cloud Security, AI Security, MLOps (Machine Learning Operations), DevSecOps, Cloud Management, Security Architecture Review, Microservices, Site Reliability Engineering, Security Controls, CI/CD, System Monitoring, Infrastructure as Code (IaC), Compliance Management, Automation, Kubernetes, Docker (Software), Incident Management, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Azure CloudOps: Automating Infrastructure & Cost Control

    Skills you'll gain: Cloud Management, Azure DevOps Pipelines, Azure DevOps, Infrastructure as Code (IaC), Cloud Computing, CI/CD, Microsoft Azure, Cloud Deployment, Continuous Deployment, DevOps, Cloud Infrastructure, IT Automation, Continuous Integration, Automation, User Provisioning, Process Optimization, System Monitoring, Compliance Training, Git (Version Control System)

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

    ★ 4.1 (16) · Intermediate · Course · 1 - 4 Weeks

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

    Microsoft

    MLOps and responsible AI practices

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps Pipelines, Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, Model Training, CI/CD, Version Control, Data Ethics, Model Evaluation, Continuous Integration, Git (Version Control System), Automation, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Lead and Evaluate AI Project Implementations

    Skills you'll gain: Acceptance Testing, Project Coordination, Model Deployment, Quality Assurance, User Acceptance Testing (UAT), Verification And Validation, Coordination, Product Quality (QA/QC), Quality Assurance and Control, Plan Execution, Workflow Management, Application Deployment, Issue Tracking

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    AI Agents and MLOps for Production-Ready AI

    Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

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

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    ★ 3.5 (56) · Advanced · Course · 1 - 3 Months

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

    Coursera

    ArgoCD Essentials: Automating Kubernetes Deployments

    Skills you'll gain: Prometheus (Software), Kubernetes, Devops Tools, CI/CD, DevOps, Continuous Deployment, Cloud-Native Computing, Application Deployment, Containerization, Configuration Management, Automation, Command-Line Interface

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Implement Jenkins CI/CD Pipelines for Real-World Deployment

    Skills you'll gain: Jenkins, CI/CD, Continuous Integration, Application Deployment, Devops Tools, Continuous Delivery, Build Tools, Continuous Deployment, Application Servers, DevOps, User Accounts, User Provisioning, SonarQube, Apache Maven, System Configuration, Apache Tomcat, Git (Version Control System), Software Installation

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Optimizing AI System Operations and Costs

    Skills you'll gain: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Incident Management, Ansible, IT Automation, Data Management, Metadata Management, Site Reliability Engineering, Automation, Compliance Management, Continuous Monitoring, Cost Management, System Monitoring, Predictive Modeling, Forecasting, Cloud Computing, Financial Management, Data Quality

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…456…9

In summary, here are 10 of our most popular aiops+implementation courses

  • Implement CI/CD Automation with Jenkins, Docker & Kubernetes: EDUCBA
  • AWS Artificial Intelligence Practitioner: Amazon Web Services
  • AI Systems Reliability & Security: Coursera
  • Azure CloudOps: Automating Infrastructure & Cost Control: Coursera
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • MLOps and responsible AI practices: Microsoft
  • Lead and Evaluate AI Project Implementations: Coursera
  • AI Agents and MLOps for Production-Ready AI: Packt
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • ArgoCD Essentials: Automating Kubernetes Deployments: Coursera

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