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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


  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Machine Learning Software, Statistical Software, Machine Learning Methods, Process Modeling, Machine Learning, Correlation Analysis, Applied Machine Learning

    ★ 4.7 (105) · Advanced · Professional Certificate · 3 - 6 Months

  • U

    University of California San Diego

    Deploying Machine Learning Models

    Skills you'll gain: Model Deployment, Data Manipulation, MLOps (Machine Learning Operations), Web Frameworks, Model Evaluation, Applied Machine Learning, Flask (Web Framework), Data Preprocessing, Django (Web Framework), Web Applications, Model Optimization, Data Cleansing, AI Personalization, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Python Programming

    ★ 3.6 (54) · Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Build Next-Gen LLM Apps with LangChain & LangGraph

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls

    ★ 2.6 (7) · Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    ★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, Data Preprocessing, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage

    ★ 4.7 (26) · Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    PyTorch: Advanced Architectures and Deployment

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Generative AI, Deep Learning, Generative Model Architectures, MLOps (Machine Learning Operations), Large Language Modeling, Model Optimization, Convolutional Neural Networks, Software Visualization, Artificial Neural Networks, Embeddings, Computer Vision

    ★ 4.8 (15) · Intermediate · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    ★ 4.5 (6) · Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Master Agentic AI: Core Principles & Real-World PC

    Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, Data Presentation, MLOps (Machine Learning Operations), Agentic Workflows, Interactive Data Visualization, AI Orchestration, AI Security, A/B Testing, Generative AI Agents, Threat Management, Model Optimization, Open Web Application Security Project (OWASP), Technical Communication, Agentic systems, Continuous Monitoring, CI/CD, Reinforcement Learning

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    Duke University

    GenAI and LLMs on AWS

    Skills you'll gain: Amazon Bedrock, Model Deployment, LLM Application, Large Language Modeling, MLOps (Machine Learning Operations), Amazon Web Services, AI Security, Model Evaluation, Model Training, AI Workflows, Continuous Monitoring, Data Ethics, Rust (Programming Language), Generative AI, Cloud Computing, Serverless Computing, Development Environment

    ★ 4.6 (28) · Beginner · Course · 1 - 4 Weeks

  • 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

  • U

    Universidad Austral

    Procesamiento de Lenguaje Natural

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Machine Learning Algorithms, Data Cleansing, Artificial Neural Networks, Machine Learning Methods, Data Manipulation, Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, AI Orchestration, Systems Architecture, Python Programming

    ★ 4.2 (56) · Beginner · Specialization · 3 - 6 Months

  • E

    Edureka

    AI Security

    Skills you'll gain: AI Security, Responsible AI, Incident Response, Computer Security Incident Management, Data Ethics, Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, Prompt Patterns, Threat Modeling, Security Testing, Cybersecurity, IT Security Architecture, Artificial Intelligence, Machine Learning, Security Management, MLOps (Machine Learning Operations), Agentic systems, Ethical Standards And Conduct

    ★ 3.7 (7) · Beginner · Specialization · 3 - 6 Months

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

  • SAS Machine Learning Engineer: SAS
  • Deploying Machine Learning Models: University of California San Diego
  • Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • PyTorch: Advanced Architectures and Deployment: DeepLearning.AI
  • Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
  • Master Agentic AI: Core Principles & Real-World PC: Coursera
  • GenAI and LLMs on AWS: Duke University
  • Exam Prep AIF-C01: AWS Certified AI Practitioner: Whizlabs

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