Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation, Data Validation
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Dimensionality Reduction, Statistics, Probability & Statistics, Linear Algebra, Statistical Inference, Digital Signal Processing, Biological Engineering, Image Analysis, Experimentation, Biomedical Engineering, Applied Mathematics, Regression Analysis, Feature Engineering, Unsupervised Learning, Data Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Program Evaluation, Performance Metric, Agile Project Management, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Project Performance, Data-Driven Decision-Making, AI Integrations, Machine Learning, Large Language Modeling, R Programming, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

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

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

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: Pandas (Python Package), Matplotlib, NumPy, Statistical Visualization, Machine Learning Algorithms, Applied Machine Learning, Data Manipulation, Pivot Tables And Charts, Model Optimization, Machine Learning Methods, Linear Algebra, Natural Language Processing, Deep Learning, Programming Principles, Machine Learning, Python Programming, Data Science, Numerical Analysis, Computer Programming, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture
Intermediate · Specialization · 3 - 6 Months

John Wiley & Sons
Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication
Intermediate · Course · 3 - 6 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
Intermediate · Specialization · 3 - 6 Months

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