
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Workflow Management, Model Deployment, Data Governance, Model Optimization, AI Workflows, Data Management, Data Store, Applied Machine Learning, Predictive Modeling, Metadata Management, Machine Learning, Model Evaluation, AI Orchestration
Intermediate · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Server Side, Restful API, Ajax, Node.JS, Web Applications, Web Servers, Web Development, Back-End Web Development, Model View Controller, Javascript, PHP (Scripting Language), Application Programming Interface (API), Authentications, JSON, Hypertext Markup Language (HTML), Software Architecture, Real Time Data, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Model Deployment, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Data Pipelines, Machine Learning Methods, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Exploratory Data Analysis, Business Metrics, Model Training, Data Preprocessing, Model Evaluation, Data Quality, Logistic Regression, Applied Machine Learning, Machine Learning, Data Pipelines, Data Cleansing, Machine Learning Software, AI Product Strategy, Performance Tuning
★ 4.2 (31) · Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Responsible AI, Generative AI, ChatGPT, Education Software and Technology, AI Integrations, Design Strategies, Data Ethics, Content Creation, Professional Development
★ 4.9 (28) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis
★ 4.6 (220) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: C and C++, File I/O, Memory Management, Code Reusability, Computer Programming Tools, Development Environment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Data Preprocessing, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, Model Training, Decision Tree Learning, NumPy, Pandas (Python Package)
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
★ 3.9 (10) · Intermediate · Specialization · 3 - 6 Months