
Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation
★ 4.3 (178) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis
★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Machine Learning Methods, Applied Machine Learning, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation
★ 4.8 (119) · Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Data Science, Predictive Analytics
★ 4.7 (794) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis
★ 4.6 (2.3K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Application Deployment, 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)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
★ 5 (12) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours