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  • Mlops

MLOps Courses

MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.


Popular MLOps Courses and Certifications


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    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Apache Airflow, Data Pipelines, Google Cloud Platform, Tensorflow, Kubernetes, Model Deployment, Metadata Management, Containerization

    Advanced · Course · 1 - 3 Months

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    Google Cloud

    Introduction to Vertex AI Studio - Bahasa Indonesia

    Skills you'll gain: Google Gemini, Generative AI, Multimodal Prompts, Prompt Engineering, Interactive Design, Google Cloud Platform, Prototyping, MLOps (Machine Learning Operations), Product Lifecycle Management, Model Deployment, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Transfer Learning, Computer Vision, Image Analysis, Data Cleansing, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Présentation de l'IA et du machine learning sur Google Cloud

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, AI Workflows, Big Data, Applied Machine Learning, Model Deployment, Cloud API, Model Evaluation, Supervised Learning

    Beginner · Course · 1 - 3 Months

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    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation

    Intermediate · Course · 1 - 3 Months

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    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, Continuous Deployment, Microservices, Load Balancing

    Intermediate · Project · Less Than 2 Hours

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    Google Cloud

    Die vielfältigen Formen generativer KI

    Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, Cloud Infrastructure, Responsible AI, Artificial Intelligence, Model Deployment, MLOps (Machine Learning Operations)

    Beginner · Course · 1 - 3 Months

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    Coursera

    Design, Compare and Analyze LLM Architectures

    Skills you'll gain: Data Flow Diagrams (DFDs), Cloud Deployment, Model Deployment, Information Privacy, MLOps (Machine Learning Operations), Application Programming Interface (API), AI Product Strategy, Analysis, Data Pipelines, Feature Engineering, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Secure AI: Threat Model & Test Endpoints

    Skills you'll gain: Threat Modeling, AI Security, DevSecOps, Security Testing, Continuous Monitoring, CI/CD, Threat Detection, Secure Coding, MITRE ATT&CK Framework, DevOps, System Monitoring, Application Security, Continuous Integration, MLOps (Machine Learning Operations), Scripting, Unit Testing, Test Case, Prompt Engineering, Integration Testing

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular mlops courses

  • ML Pipelines on Google Cloud en Español: Google Cloud
  • Introduction to Vertex AI Studio - Bahasa Indonesia: Google Cloud
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Présentation de l'IA et du machine learning sur Google Cloud: Google Cloud
  • Threat Hunting Techniques: Starweaver
  • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
  • Die vielfältigen Formen generativer KI : Google Cloud
  • Design, Compare and Analyze LLM Architectures: Coursera
  • Secure AI: Threat Model & Test Endpoints: Coursera

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