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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


  • G

    Google Cloud

    Deploy and Scale AI Models with Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, MLOps (Machine Learning Operations), Containerization, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Document and Evaluate AI Ethics

    Skills you'll gain: Data Ethics, Responsible AI, Compliance Auditing, Ethical Standards And Conduct, Compliance Management, Auditing, Technical Documentation, Case Studies, Project Documentation, Model Deployment, Model Evaluation, Business Ethics, MLOps (Machine Learning Operations), Accountability, Mitigation, Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • W

    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

  • S

    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

  • G

    Google Cloud

    AI Infrastructure: Storage Options

    Skills you'll gain: Data Infrastructure, Model Deployment, Data Processing, Data Pipelines

    Intermediate · Course · 1 - 3 Months

  • E

    Edureka

    AI Agent Orchestration and Scaling

    Skills you'll gain: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Die vielfältigen Formen generativer KI

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

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    Optimizing and Deploying LLM Systems

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Model Deployment, Large Language Modeling, OpenAI API, Application Programming Interface (API), Application Deployment, Retrieval-Augmented Generation, LangGraph, OpenAI, Containerization, CI/CD, Continuous Deployment, Postman API Platform, Artificial Intelligence, Continuous Integration, Amazon Web Services, Authentications, Performance Analysis

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Vertex AI Studio - Português Brasileiro

    Skills you'll gain: Gemini, Google Gemini, Generative AI, Prompt Engineering, AI Product Strategy, Multimodal Prompts, AI Enablement, MLOps (Machine Learning Operations), Model Deployment, LLM Application, Google Cloud Platform, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Cloud における AI と ML の概要

    Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Big Data, Model Deployment, Data Preprocessing, Machine Learning, Natural Language Processing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Management, Google Cloud Platform, Data Governance, Workflow Management, AI Workflows, Enterprise Modeling, Model Evaluation, Applied Machine Learning, Data Pipelines, Machine Learning

    Intermediate · Course · 1 - 3 Months

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

  • Deploy and Scale AI Models with Cloud Run: Google Cloud
  • Document and Evaluate AI Ethics: Coursera
  • AWS: Model Training , Optimization & Deployment: Whizlabs
  • Threat Hunting Techniques: Starweaver
  • AI Infrastructure: Storage Options: Google Cloud
  • AI Agent Orchestration and Scaling: Edureka
  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • Die vielfältigen Formen generativer KI : Google Cloud
  • Optimizing and Deploying LLM Systems: Edureka
  • Introduction to Vertex AI Studio - Português Brasileiro: Google Cloud

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