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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


  • C

    Coursera

    Building and Optimizing AI Agent Workflows

    Skills you'll gain: Feature Engineering, Agentic Workflows, AI Orchestration, Generative AI Agents, Model Optimization, Model Training, Data Ethics, Responsible AI, Model Deployment, Agentic systems, Artificial Intelligence, Generative AI, MLOps (Machine Learning Operations), Data Transformation, Reinforcement Learning, Model Evaluation, Code Reusability, Fine-tuning, System Design and Implementation, Python Programming

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Microservices Architecture for AI Systems

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LLM Application, LangChain, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Scalability, MLOps (Machine Learning Operations), Cloud Deployment, Cloud Computing Architecture, API Design, Site Reliability Engineering, Kubernetes, Prompt Engineering, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Generative AI, Google Cloud Platform, Generative AI Agents, MLOps (Machine Learning Operations), AI Workflows, Agentic systems, Cloud Infrastructure, Artificial Intelligence, Model Training, Model Deployment, Big Data, Machine Learning, Predictive Modeling, Model Evaluation, No-Code Development

    ★ 4.1 (18) · Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    Exam Prep AIF-C01: AWS Certified AI Practitioner

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Prompt Engineering Tools, Responsible AI, Prompt Patterns, Generative Model Architectures, AI Security, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Multimodal Prompts, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Artificial Intelligence, Machine Learning Methods, Large Language Modeling, AI Workflows, Retrieval-Augmented Generation, Machine Learning

    ★ 4.3 (16) · Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP 日本語版

    Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Data Pipelines, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 4.5 (31) · Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud auf Deutsch

    Skills you'll gain: Model Deployment, Dataflow, Google Cloud Platform, Dashboard Creation, Data Pipelines, Real Time Data, Data Lakes, Dashboard, Data Warehousing, Tensorflow, Data Preprocessing, Apache Spark, Big Data, Model Training, Extract, Transform, Load, Data Infrastructure, Applied Machine Learning, Cloud Engineering, Cloud Storage, MLOps (Machine Learning Operations)

    Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Processing, Model Deployment, Data Pipelines, Google Cloud Platform, Applied Machine Learning, Analytics, Database Development, Data Infrastructure, Data Architecture, Data Analysis, Security Controls, Machine Learning, Data Modeling, Cloud Security, Data Visualization, Interactive Data Visualization, Data Storage Technologies, Disaster Recovery

    ★ 4.7 (14) · Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • E

    Edureka

    Introduction to LLMs and Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, LangChain, Large Language Modeling, OpenAI, Natural Language Processing, Generative AI Agents, ChatGPT, AI Integrations, Token Optimization, Responsible AI, Fine-tuning, Embeddings, Application Programming Interface (API), Data Pipelines, Restful API, Agentic systems, Open Source Technology, MLOps (Machine Learning Operations), Python Programming

    Beginner · Course · 1 - 4 Weeks

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

  • Building and Optimizing AI Agent Workflows: Coursera
  • Microservices Architecture for AI Systems: Coursera
  • Production AI Model Development and Ethics: Coursera
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs
  • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
  • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud
  • Core generative models and techniques: Microsoft
  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud

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