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: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Data Governance, Apache Hadoop, Dashboard, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Data Access, Cloud API, Data Architecture, Data Quality, Data Cleansing, Machine Learning Methods
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Fine-tuning, PyTorch (Machine Learning Library), AI Security, Application Deployment, AI Workflows, Prompt Engineering, Hugging Face, Artificial Neural Networks, Deep Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Machine Learning Methods, Generative AI, Computer Vision, Artificial Intelligence, Machine Learning, Data Processing, Machine Learning Algorithms
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Kubernetes, Infrastructure as Code (IaC), Application Performance Management, Terraform, Identity and Access Management, Generative AI Agents, Metadata Management, Google Cloud Platform, Data Sharing, Data Pipelines, Cloud-Native Computing, Cloud Development, Prompt Engineering, Serverless Computing, Generative AI, Cloud Security, Cloud Deployment, AI literacy, Dashboard Creation, MLOps (Machine Learning Operations)
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Key Performance Indicators (KPIs), Cross-Functional Collaboration, Performance Measurement, Cross-Functional Team Leadership, Operational Risk, Compliance Management, Dashboard, Accountability, Continuous Monitoring, Dashboard Creation, Data Ethics, Performance Metric, Governance Risk Management and Compliance, Regulatory Compliance, Governance, Risk Control, Accountability Frameworks, Compliance Auditing, MLOps (Machine Learning Operations)
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, Machine Learning Methods, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Real Time Data, Containerization, Docker (Software), CI/CD, Model Training, Applied Machine Learning, Feature Engineering, Model Evaluation, Cloud Deployment, Model Optimization, Predictive Modeling, Web Scraping, Data Pipelines, Time Series Analysis and Forecasting, Exploratory Data Analysis, Spatial Data Analysis, Machine Learning, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Generative AI Agents, Model Deployment, Tensorflow, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, CI/CD, Generative AI, Model Evaluation, Cloud Infrastructure, Cloud Computing
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Feature Engineering, Apache Airflow, Databricks, MLOps (Machine Learning Operations), Data Pipelines, AI Orchestration, Data Lakes, Model Training, Apache Spark, Data Store, AI Workflows, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Machine Learning, Data Collection, SQL, Data Storage, Machine Learning Algorithms, Warehouse Management
Advanced · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, Generative AI Agents, AI Workflows, Prompt Engineering, Embeddings, Token Optimization, Context Management, Document Management, Unstructured Data, Database Management Systems, Metadata Management, Model Evaluation, Data Wrangling, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PySpark, Data Lakes, Databricks, Data Pipelines, Apache Spark, Data Architecture, Data Transformation, Data Infrastructure, MLOps (Machine Learning Operations), Data Processing, Data Manipulation, Data Cleansing, Data Validation, Data Quality, Data Maintenance, Data Management, Python Programming, Data Entry, SQL, Data Collection
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, AWS SageMaker, Amazon Web Services, Model Evaluation, AWS Identity and Access Management (IAM), AI Enablement, Decision Intelligence, Prompt Engineering, AWS Kinesis, Large Language Modeling, AWS CloudFormation, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Data Processing, Cloud Computing, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks