
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
Intermediate · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

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

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, Technical Documentation, MLOps (Machine Learning Operations), Model Deployment, Data Pipelines, Cloud Deployment, System Monitoring
Intermediate · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Verification And Validation, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Keras (Neural Network Library), Performance Tuning, Benchmarking, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Failure Analysis, Deep Learning, PyTorch (Machine Learning Library), Supervised Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months