
Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Model Evaluation, Threat Detection, Statistical Analysis, Model Optimization, Statistical Hypothesis Testing, Trend Analysis, Real Time Data, Statistical Methods, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Databricks, Vector Databases, Embeddings, LLM Application, Cloud-Native Computing, Machine Learning Methods, Applied Machine Learning, Cloud Engineering, PyTorch (Machine Learning Library), Machine Learning, Model Training, Scalability, Software Architecture, Model Evaluation, Data Science, Software Development, Computer Science
Advanced · Course · 3 - 6 Months

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Logistic Regression, Random Forest Algorithm
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Optimization, People Analytics, Model Training, Random Forest Algorithm, R Programming, Workforce Management, Predictive Analytics, Decision Tree Learning, R (Software), Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, Generative AI, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Reinforcement Learning, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Dimensionality Reduction, Model Optimization
★ 4.7 (71) · Intermediate · Course · 1 - 3 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

Taipei Medical University
Skills you'll gain: Bioinformatics, Model Training, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Technical Communication, Machine Learning Methods, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, AI Workflows, Random Forest Algorithm, Data Preprocessing, Artificial Intelligence, Predictive Modeling, Molecular Biology, Natural Language Processing, Biology, Data Analysis
Beginner · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Model Evaluation, Random Forest Algorithm, Model Optimization, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Classification Algorithms, Python Programming
★ 3.2 (18) · Intermediate · Course · 1 - 4 Weeks

Fractal Analytics
Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Random Forest Algorithm, Algorithms, Predictive Modeling
★ 3.7 (15) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export, Data Analysis
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Web Frameworks, Rust (Programming Language), DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data
★ 4.1 (236) · Advanced · Course · 1 - 3 Months