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  • Mlops Engineer

Results for "mlops engineer"


  • Status: Free Trial
    Free Trial
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    Whizlabs

    Exam Prep: AWS Certified DevOps Engineer - Professional

    Skills you'll gain: Amazon Web Services, Containerization, AWS CloudFormation, Infrastructure as Code (IaC), Amazon CloudWatch, Docker (Software), CI/CD, Kubernetes, Cloud-Native Computing, Cloud Infrastructure, Application Deployment, Serverless Computing, Software Development Life Cycle, Configuration Management, Disaster Recovery, Continuous Deployment, Amazon Elastic Compute Cloud, Cloud Management, DevOps, API Gateway

    4.4
    Rating, 4.4 out of 5 stars
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    29 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Preparing for Google Cloud Certification: Cloud DevOps Engr

    Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Virtual Machines, Safety Culture, Network Monitoring, Culture Transformation

    4.7
    Rating, 4.7 out of 5 stars
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    54K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Whizlabs

    Exam Prep AZ-400: Microsoft DevOps Engineer Expert

    Skills you'll gain: CI/CD, Authorization (Computing), Package and Software Management, Infrastructure as Code (IaC), Azure DevOps, Authentications, Application Deployment, Continuous Integration, DevSecOps, DevOps, Security Controls, GitHub, Continuous Deployment, Git (Version Control System), Agile Methodology, Performance Tuning, Identity and Access Management, Version Control, Microsoft Azure, Continuous Delivery

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Containerization, CI/CD, Docker (Software), Microsoft Azure, Cloud Computing, Cloud Applications, Machine Learning Software, GitHub, Application Programming Interface (API)

    3.7
    Rating, 3.7 out of 5 stars
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    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Google Cloud Database Engineer

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Storage, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management

    4.7
    Rating, 4.7 out of 5 stars
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    49K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    Packt

    AI Engineer Explorer Course

    Skills you'll gain: Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Predictive Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures

    4.5
    Rating, 4.5 out of 5 stars
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    258 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to mlops engineer

cloud machine learning engineering and mlops
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In summary, here are 10 of our most popular mlops engineer courses

  • Exam Prep: AWS Certified DevOps Engineer - Professional: Whizlabs
  • Preparing for Google Cloud Certification: Cloud DevOps Engr: Google Cloud
  • Exam Prep AZ-400: Microsoft DevOps Engineer Expert: Whizlabs
  • MLOps Tools: MLflow and Hugging Face: Duke University
  • Google Cloud Database Engineer: Google Cloud
  • AI Engineer Explorer Course: Packt
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • Large Language Model Operations (LLMOps): Duke University
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Building, Evaluating, and Operationalizing ML Models: Packt

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