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.

Skills you'll gain: Feature Engineering, Agentic Workflows, Data Ethics, Responsible AI, Model Deployment, Agentic systems, Artificial Intelligence, Generative AI, MLOps (Machine Learning Operations), Data Transformation, Model Evaluation, Reinforcement Learning, Software Architecture, Business Ethics, API Design, Process Optimization, System Design and Implementation, Performance Tuning, Algorithms, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Benchmarking, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Analysis, Cost Management
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Grafana, Performance Metric, Data Pipelines, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, Computer Vision, Image Analysis, Data Cleansing, Data Pipelines, Data Transformation, Data Manipulation, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Integrity, Verification And Validation, Reconciliation, Debugging, Auditing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Verification And Validation, Experimentation, Performance Testing, Benchmarking, Performance Analysis, Technical Communication
Intermediate · Course · 1 - 4 Weeks