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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


  • J

    John Wiley & Sons

    CompTIA DataX Study Guide

    Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms

    Beginner · Specialization · 1 - 3 Months

  • B

    Board Infinity

    Transformers and NLP: Fine-Tuning Models with Hugging Face

    Skills you'll gain: Model Evaluation, Fine-tuning, Model Optimization, Hugging Face, Model Deployment, Model Training, Transfer Learning, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Generative Model Architectures, Application Deployment, Data Preprocessing, Data Pipelines, Embeddings, Version Control, Git (Version Control System)

    Advanced · Course · 1 - 4 Weeks

  • J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    LLMs in Enterprise

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Deployment, Responsible AI, Large Language Modeling, Fine-tuning, MLOps (Machine Learning Operations), Multimodal Prompts, Prompt Patterns, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Data Management, Model Evaluation, Model Training, Generative AI, Embeddings, API Design

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Data Engineering & Pipeline Reliability for Machine Learning

    Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Continuous Deployment, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    ★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: Model Optimization, MLOps (Machine Learning Operations), Model Deployment, Model Training, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Performance Tuning, Machine Learning, Distributed Computing, Dependency Analysis, Data Pipelines

    ★ 4.6 (1K) · Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Architect Multimodal AI Solutions End-to-End

    Skills you'll gain: Technical Documentation, Solution Architecture, Model Deployment, Software Documentation, AI Integrations, MLOps (Machine Learning Operations), AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Systems Architecture, Systems Development Life Cycle, Cloud Computing Architecture, Software Design Documents, Data Architecture, Data Integration, Systems Design, Functional Specification, Data Pipelines, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Optimizing, Deploying, and Governing LLMs in the Enterprise

    Skills you'll gain: Model Deployment, Responsible AI, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Multimodal Prompts, Enterprise Application Management, Application Deployment, Model Optimization, AI Workflows, Data Management, Generative AI, Data Strategy, AI Personalization, Data Governance, Scalability, Data Quality

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Infraestrutura de IA: opções de armazenamento

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Data Infrastructure, Cloud Storage, Data Storage, Model Training, Data Processing, Data Management, Kubernetes, Data Storage Technologies, MLOps (Machine Learning Operations), Model Deployment, Data Persistence, Applied Machine Learning, Distributed Computing, Scalability, File Systems, File Management

    Intermediate · Course · 1 - 3 Months

  • E

    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Model Training, Machine Learning Methods, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Responsible AI, Data Collection, Predictive Modeling, Artificial Intelligence, Model Optimization, AI literacy, AI Product Strategy, Prototyping, Product Development

    ★ 4.8 (896) · Intermediate · Specialization · 1 - 3 Months

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

  • CompTIA DataX Study Guide: John Wiley & Sons
  • Transformers and NLP: Fine-Tuning Models with Hugging Face: Board Infinity
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • LLMs in Enterprise: Packt
  • Data Engineering & Pipeline Reliability for Machine Learning: Coursera
  • Deploying and Debugging ML Microservices: Coursera
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Production Machine Learning Systems: Google Cloud
  • Architect Multimodal AI Solutions End-to-End: Coursera
  • Optimizing, Deploying, and Governing LLMs in the Enterprise: Packt

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