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.

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Mathematical Software, Algebra, Derivatives, Model Optimization
★ 4.9 (46) · Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
★ 3.9 (130) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies
★ 4 (20) · Intermediate · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Key Management, Advanced Encryption Standard (AES), Encryption, Cryptographic Protocols, Public Key Cryptography Standards (PKCS), Brute-force attacks, Authentications, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science
★ 4.6 (1K) · Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Gemini, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, AI Workflows, Artificial Intelligence, Model Training, Applied Machine Learning, Cloud Infrastructure, Machine Learning
Beginner · Course · 1 - 3 Months
Northeastern University
Skills you'll gain: Journey Mapping, Health Informatics, Decision Support Systems, AI Enablement, Business Analytics, Data Compilation, AI Product Strategy, Predictive Analytics, Data-Driven Decision-Making, Health Technology, Advanced Analytics, Care Management, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Predictive Modeling, AI Integrations, Applied Machine Learning, Healthcare Industry Knowledge, Value-Based Care, Machine Learning
★ 4.4 (84) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Machine Learning Methods, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Jupyter, Machine Learning, Predictive Modeling, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Machine Learning, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Embeddings, Fine-tuning, Supervised Learning, Deep Learning, Data Cleansing, Dataflow
★ 4.4 (152) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Microarchitecture
★ 4.2 (9) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms
★ 4.8 (8) · Beginner · Specialization · 3 - 6 Months