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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


  • A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    ★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Generative AI, Generative AI Agents, Google Gemini, Google Cloud Platform, Generative Model Architectures, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Applied Machine Learning, Artificial Intelligence, Data Infrastructure, Multimodal Prompts, Model Deployment, Model Training, Machine Learning, Model Evaluation, Supervised Learning

    ★ 4.6 (329) · Beginner · Course · 1 - 3 Months

  • N

    Neal Davis

    AWS Machine Learning Engineer Associate Exam Prep

    Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering

    Intermediate · Course · 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

  • C

    Coursera

    Architect AI Solutions: From Needs to Models

    Skills you'll gain: AI Integrations, Generative Model Architectures, Requirements Analysis, Solution Design, Functional Requirement, Business Requirements, Scalability, Systems Integration

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Databricks GenAI Engineering

    Skills you'll gain: Databricks, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Application Deployment, Acceptance Testing

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • 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

  • 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

  • B

    Board Infinity

    Managing AI Systems: Development, Deployment, and Governance

    Skills you'll gain: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Generative Model Architectures, Decision Intelligence, Model Training, Cloud Deployment, Artificial Intelligence

    Intermediate · Specialization · 1 - 3 Months

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

  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • Transformers and NLP: Fine-Tuning Models with Hugging Face: Board Infinity
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • Architect AI Solutions: From Needs to Models: Coursera
  • Databricks GenAI Engineering: Coursera
  • Deploying and Debugging ML Microservices: Coursera
  • Optimizing, Deploying, and Governing LLMs in the Enterprise: Packt
  • Infraestrutura de IA: opções de armazenamento: Google Cloud

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