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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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    Google Cloud

    ML Pipelines on Google Cloud - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Continuous Deployment, Model Deployment, AI Orchestration, Model Training, Metadata Management, Model Evaluation, Data Validation

    Advanced · Course · 1 - 3 Months

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    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization

    Advanced · Course · 1 - 3 Months

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    Coursera

    Document and Evaluate LLM Prompting Success

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Token Optimization, LLM Application, MLOps (Machine Learning Operations), Retrieval-Augmented Generation, Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Model Optimization, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Présentation de l'IA et du machine learning sur Google Cloud

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

    Beginner · Course · 1 - 3 Months

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    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Model Training, Data Preprocessing, Classification Algorithms, Dimensionality Reduction, Data Transformation, Fine-tuning

    Advanced · Course · 1 - 3 Months

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    Coursera

    Deploying Open Models

    Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, Application Deployment, MLOps (Machine Learning Operations), Hugging Face, Generative AI, Cloud Computing Architecture, Serverless Computing, Cloud Hosting, Cloud Technologies, Cloud Platforms, Security Controls, System Monitoring, Configuration Management, Release Management, Application Security, Infrastructure Security, Large Language Modeling

    Intermediate · Course · 1 - 4 Weeks

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    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

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    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, Model Optimization, AI Workflows, Model Evaluation, Data Management, Model Training, Generative AI, Generative Model Architectures, Embeddings, API Design

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Deploy, Manage, and Orchestrate Your Models

    Skills you'll gain: Kubernetes, Docker (Software), Containerization, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Google Cloud における AI と ML の概要

    Skills you'll gain: Generative AI Agents, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Prompt Engineering, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Model Training, Artificial Intelligence, No-Code Development, Data Preprocessing, Machine Learning

    Beginner · Course · 1 - 3 Months

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    Coursera

    Design & Secure LLM APIs for Scalability

    Skills you'll gain: API Design, Application Programming Interface (API), Cloud API, AI Security, Cloud Management, Security Controls, Application Performance Management, Load Balancing, Incident Response, MLOps (Machine Learning Operations), GitHub, Python Programming, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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