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
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Model Optimization, Machine Learning Methods, AI Security, Responsible AI, Google Cloud Platform, Data Quality
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Training, Model Deployment, Version Control, Large Language Modeling, Predictive Modeling, Data Management, Dashboard, Interactive Data Visualization, Machine Learning, Record Keeping, Performance Analysis
Skills you'll gain: Model Optimization, Model Training, AI Workflows, Data Pipelines
Skills you'll gain: CI/CD, Continuous Deployment, Continuous Delivery, DevOps, Application Deployment, Performance Analysis, Performance Metric, Performance Measurement, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Application Performance Management, Operational Analysis, Continuous Monitoring, Root Cause Analysis
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Data Governance, Apache Airflow, Data Architecture, Apache Spark, Real Time Data, Extract, Transform, Load, Data Processing, Data Pipelines, Scalability, DevOps, Distributed Computing, Feature Engineering, CI/CD, Model Training, Pandas (Python Package), Data Transformation, Continuous Integration
Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling
Board Infinity
Skills you'll gain: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, Public Cloud, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, LLM Application, Cloud Management, Model Training, Cloud Computing, CI/CD, Model Optimization, Cloud Deployment, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration
Pragmatic AI Labs
Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, AWS SageMaker, AI Workflows, Retrieval-Augmented Generation, Shell Script, IT Automation, Unix Shell, Command-Line Interface, AI Integrations, AI Security, Prototyping, Model Deployment, Large Language Modeling, Generative AI, Data Management
Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
