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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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    Coursera

    Integrate and Optimize AI Services Seamlessly

    Skills you'll gain: AI Integrations, System Monitoring, API Testing, Middleware, Restful API, Site Reliability Engineering, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build & Optimize TensorFlow ML Workflows

    Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Deep Learning, AI Personalization, Cloud Solutions, Artificial Intelligence, Model Evaluation, Applied Machine Learning, AI Integrations, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

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    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

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    Coursera

    Deploy Vector DBs Securely

    Skills you'll gain: Vector Databases, Grafana, Containerization, Role-Based Access Control (RBAC), Docker (Software), MLOps (Machine Learning Operations), Application Deployment, AI Security, Enterprise Security, Scalability, Data Access, Authorization (Computing), Dashboard Creation, Encryption, Cryptographic Protocols, Performance Tuning, System Monitoring, Infrastructure Security, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning in the Enterprise - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Model Training, Data Management, Information Management, Google Cloud Platform, Metadata Management, Workflow Management, Model Deployment, AI Workflows, Model Optimization, Machine Learning Software, Machine Learning Methods, Predictive Modeling, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    University of California, Santa Cruz

    Managing AI Deployment Projects, Part 2

    Skills you'll gain: Model Training, Project Management Institute (PMI) Methodology, Responsible AI, Model Evaluation, MLOps (Machine Learning Operations), Project Management Life Cycle, Cross-Functional Team Leadership, Model Deployment, Team Management, AI Workflows, Compliance Management, Model Optimization, Data Ethics, Culture Transformation, Continuous Monitoring, Business Metrics

    Beginner · Course · 1 - 3 Months

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    Pragmatic AI Labs

    Deterministic LLM programming

    Skills you'll gain: Retrieval-Augmented Generation, Amazon Bedrock, LLM Application, AWS SageMaker, Token Optimization, Large Language Modeling, Amazon Web Services, No-Code Development, Prompt Engineering, Vibe coding, Generative AI, AI Orchestration, Model Deployment, MLOps (Machine Learning Operations), Generative AI Agents, Package and Software Management, Model Training, Rust (Programming Language), Model Optimization, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Introduction to AI and Machine Learning on GC - 한국어

    Skills you'll gain: Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Agentic Workflows, Model Deployment, Model Training, Machine Learning, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    프로덕션 머신러닝 시스템

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

    Advanced · Course · 1 - 3 Months

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    Google Cloud

    Trabaja con Notebooks en Vertex AI

    Skills you'll gain: MLOps (Machine Learning Operations), Jupyter, AI Workflows, Model Deployment, Google Cloud Platform, Data Preprocessing, Virtual Machines, Virtual Environment, Computing Platforms, Collaborative Software

    Beginner · Course · 1 - 4 Weeks

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